kopia lustrzana https://github.com/thinkst/zippy
547 wiersze
314 KiB
XML
547 wiersze
314 KiB
XML
<?xml version="1.0" encoding="utf-8"?><testsuites><testsuite name="pytest" errors="0" failures="182" skipped="0" tests="465" time="276.764" timestamp="2023-05-23T20:54:53.797206" hostname="FALCON-PUNCH"><testcase classname="test_openai_detect" name="test_training_file" time="8.408"><properties><property name="score" value="0.1309819070230769" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[IFAW1.txt]" time="0.341"><properties><property name="score" value="0.05344405" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[cdc_covid.txt]" time="1.805"><properties><property name="score" value="0.018392779466666665" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[How_soon-Fans.txt]" time="0.309"><properties><property name="score" value="0.0027909067" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[hsus4.txt]" time="0.685"><properties><property name="score" value="0.0029219983" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[pg_robinson_crusoe.txt]" time="2.099"><properties><property name="score" value="0.2143783323857143" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[How_soon-Lebron-James.txt]" time="0.349"><properties><property name="score" value="0.0008030889" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Ohio_Steel.txt]" time="1.572"><properties><property name="score" value="0.00403165024" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[chapter-10.txt]" time="3.455"><properties><property name="score" value="0.023967385200000003" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Env_Prot_Agency-nov1.txt]" time="2.556"><properties><property name="score" value="0.011816757725" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[ch5.txt]" time="3.444"><properties><property name="score" value="0.012038762" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[lw1.txt]" time="0.418"><properties><property name="score" value="0.321209" /></properties><failure message="AssertionError: lw1.txt is a human-generated file, misclassified as AI-generated with confidence 0.321209 assert 'AI' == 'Human' - Human + AI">E AssertionError: lw1.txt is a human-generated file, misclassified as AI-generated with confidence 0.321209
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_samples[Madame_White_Snake.txt]" time="0.818"><properties><property name="score" value="0.014767393733333335" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[110CYL070.txt]" time="0.246"><properties><property name="score" value="0.24556607" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[audubon1.txt]" time="0.593"><properties><property name="score" value="0.00067169605" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[littleshelter2.txt]" time="0.266"><properties><property name="score" value="0.007518992" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[guidedogs1.txt]" time="0.280"><properties><property name="score" value="0.0010390421" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[anth_essay_4.txt]" time="1.662"><properties><property name="score" value="0.008240242683333334" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[113CWL018.txt]" time="0.262"><properties><property name="score" value="0.02204461" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[blog-monastery.txt]" time="0.564"><properties><property name="score" value="0.691094675" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[115CVL037.txt]" time="0.296"><properties><property name="score" value="0.0007671188" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[115CVL036.txt]" time="0.363"><properties><property name="score" value="0.455299" /></properties><failure message="AssertionError: 115CVL036.txt is a human-generated file, misclassified as AI-generated with confidence 0.455299 assert 'AI' == 'Human' - Human + AI">E AssertionError: 115CVL036.txt is a human-generated file, misclassified as AI-generated with confidence 0.455299
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_samples[A_defense_of_Michael_Moore.txt]" time="2.148"><properties><property name="score" value="0.0072790699125" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[captured_moments.txt]" time="3.438"><properties><property name="score" value="0.121000333625" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[115CVL035.txt]" time="0.295"><properties><property name="score" value="0.33129933" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[NWF1.txt]" time="0.286"><properties><property name="score" value="0.0120113025" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[WhereToHongKong.txt]" time="4.685"><properties><property name="score" value="0.23628737828933336" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[att2.txt]" time="0.331"><properties><property name="score" value="0.0010946554" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[c4_GOD.txt]" time="0.255"><properties><property name="score" value="0.0326505" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[cdc_covid_asthma.txt]" time="0.374"><properties><property name="score" value="0.0030465834" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[fcic_final_report_conclusions.txt]" time="3.272"><properties><property name="score" value="0.007364960385454546" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[118CWL050.txt]" time="0.276"><properties><property name="score" value="0.05735386" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[116CUL033.txt]" time="0.256"><properties><property name="score" value="0.9303423" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[112C-L012.txt]" time="0.266"><properties><property name="score" value="0.024406457" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[appalachian1.txt]" time="0.610"><properties><property name="score" value="0.003754575833333333" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[united1.txt]" time="0.353"><properties><property name="score" value="0.0011339772" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[117CWL009.txt]" time="0.271"><properties><property name="score" value="0.7123969" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[marine1.txt]" time="0.322"><properties><property name="score" value="0.0293355135" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Ant_Robot.txt]" time="3.797"><properties><property name="score" value="0.20231659758333334" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[110CYL069.txt]" time="0.276"><properties><property name="score" value="0.00039282523" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[CUP2.txt]" time="4.298"><properties><property name="score" value="0.016932493166666663" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Tupelo-Honey-Cafe.txt]" time="0.302"><properties><property name="score" value="0.0027538477" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[119CWL041.txt]" time="0.259"><properties><property name="score" value="0.29888844" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[lzma_readme.txt]" time="0.297"><properties><property name="score" value="0.20062155" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Homosexuality.txt]" time="2.236"><properties><property name="score" value="0.01748147345" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[116CUL032.txt]" time="0.299"><properties><property name="score" value="0.19387838" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[112C-L014.txt]" time="0.279"><properties><property name="score" value="0.02341995" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Fermentation_HR5034.txt]" time="1.253"><properties><property name="score" value="0.04014095155" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Acephalous-Internet.txt]" time="0.296"><properties><property name="score" value="0.004258367" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Effing-Idiot.txt]" time="2.447"><properties><property name="score" value="0.18665580118750003" /></properties><failure message="AssertionError: Effing-Idiot.txt is a human-generated file, misclassified as AI-generated with confidence 0.1866558 assert 'AI' == 'Human' - Human + AI">E AssertionError: Effing-Idiot.txt is a human-generated file, misclassified as AI-generated with confidence 0.1866558
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_samples[114CUL059.txt]" time="0.320"><properties><property name="score" value="0.0008551662" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[sucker.txt]" time="0.303"><properties><property name="score" value="0.0023791653" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[c4_denver.txt]" time="0.284"><properties><property name="score" value="0.017202964" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[blog-jet-lag.txt]" time="0.615"><properties><property name="score" value="0.022457973000000003" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[warner1.txt]" time="0.264"><properties><property name="score" value="0.00060882105" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Fermentation_Eminent-Domain.txt]" time="1.184"><properties><property name="score" value="0.048683041649999995" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[113CWL017.txt]" time="0.286"><properties><property name="score" value="0.018876841" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[112C-L015.txt]" time="0.243"><properties><property name="score" value="0.6370301" /></properties><failure message="AssertionError: 112C-L015.txt is a human-generated file, misclassified as AI-generated with confidence 0.6370301 assert 'AI' == 'Human' - Human + AI">E AssertionError: 112C-L015.txt is a human-generated file, misclassified as AI-generated with confidence 0.6370301
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_samples[blog-new-year's-resolutions.txt]" time="0.592"><properties><property name="score" value="0.5369481035" /></properties><failure message="AssertionError: blog-new-year's-resolutions.txt is a human-generated file, misclassified as AI-generated with confidence 0.5369481 assert 'AI' == 'Human' - Human + AI">E AssertionError: blog-new-year's-resolutions.txt is a human-generated file, misclassified as AI-generated with confidence 0.5369481
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_samples[audubon2.txt]" time="0.364"><properties><property name="score" value="0.016049655" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[The_Black_Willow.txt]" time="1.793"><properties><property name="score" value="0.19945159283333336" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Postal_Rate_Comm-ReportToCongress2002WEB.txt]" time="2.356"><properties><property name="score" value="0.0052109437374999994" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[alumnifund1.txt]" time="0.244"><properties><property name="score" value="0.0010339124" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[112C-L016.txt]" time="0.283"><properties><property name="score" value="1.6817274" /></properties><failure message="AssertionError: 112C-L016.txt is a human-generated file, misclassified as AI-generated with confidence 1.6817274 assert 'AI' == 'Human' - Human + AI">E AssertionError: 112C-L016.txt is a human-generated file, misclassified as AI-generated with confidence 1.6817274
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_samples[114CUL057.txt]" time="0.265"><properties><property name="score" value="0.07189497" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[110CYL067.txt]" time="0.272"><properties><property name="score" value="0.010399726" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[hs_keyescrow.txt]" time="1.173"><properties><property name="score" value="0.02401717166" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[lessig_blog-carbon.txt]" time="0.650"><properties><property name="score" value="0.006020881433333333" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[114CUL060.txt]" time="0.342"><properties><property name="score" value="0.0435789" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[vampires.txt]" time="0.291"><properties><property name="score" value="0.249644725" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[chZ.txt]" time="0.767"><properties><property name="score" value="0.00759284735" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[ts_theme_intro.txt]" time="0.263"><properties><property name="score" value="0.0077093816" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[wildelifewatch1.txt]" time="0.295"><properties><property name="score" value="0.0008736013" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[aspca1.txt]" time="0.317"><properties><property name="score" value="0.000635122" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[reuters_santos.txt]" time="0.291"><properties><property name="score" value="0.007153447" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[110CYL071.txt]" time="0.279"><properties><property name="score" value="0.010144273" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Uprooted_Bike.txt]" time="0.575"><properties><property name="score" value="0.00618336" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Black_and_white.txt]" time="1.491"><properties><property name="score" value="0.20459346084000002" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[110CYL200.txt]" time="0.281"><properties><property name="score" value="0.005993393" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[A_Wasted_Day.txt]" time="2.190"><properties><property name="score" value="0.0156540446" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[HistoryGreek.txt]" time="1.186"><properties><property name="score" value="0.021857170000000002" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[HistoryLasVegas.txt]" time="1.199"><properties><property name="score" value="0.0863476506" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[cnn_santos.txt]" time="0.277"><properties><property name="score" value="0.0005615252" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[detroit.txt]" time="1.631"><properties><property name="score" value="0.03873201374" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[118CWL049.txt]" time="0.266"><properties><property name="score" value="0.07096244" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[hotel-california.txt]" time="2.679"><properties><property name="score" value="0.46509247788888874" /></properties><failure message="AssertionError: hotel-california.txt is a human-generated file, misclassified as AI-generated with confidence 0.46509248 assert 'AI' == 'Human' - Human + AI">E AssertionError: hotel-california.txt is a human-generated file, misclassified as AI-generated with confidence 0.46509248
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|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_samples[602CZL285.txt]" time="0.327"><properties><property name="score" value="0.005824011" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[WhatToHongKong.txt]" time="2.871"><properties><property name="score" value="0.039608627433333335" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Bartok.txt]" time="2.276"><properties><property name="score" value="0.10607327931999998" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Uprooted_Farming-on-Sand.txt]" time="0.596"><properties><property name="score" value="0.0171321656" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[116CUL034.txt]" time="0.346"><properties><property name="score" value="0.03167346" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[114CUL058.txt]" time="0.328"><properties><property name="score" value="0.08275843" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[IntroDublin.txt]" time="0.623"><properties><property name="score" value="0.02920888908" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[defenders5.txt]" time="0.615"><properties><property name="score" value="0.00751226675" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Acephalous-Cant-believe.txt]" time="0.401"><properties><property name="score" value="0.008920663" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[118CWL048.txt]" time="0.249"><properties><property name="score" value="0.0165241" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[110CYL068.txt]" time="0.255"><properties><property name="score" value="0.0005746466" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[HistoryJerusalem.txt]" time="2.490"><properties><property name="score" value="0.01368474615" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[rybczynski-ch3.txt]" time="3.808"><properties><property name="score" value="0.20136939395384612" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[117CWL008.txt]" time="0.290"><properties><property name="score" value="0.0045487825" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Italy.txt]" time="0.646"><properties><property name="score" value="0.8542044075" /></properties><failure message="AssertionError: Italy.txt is a human-generated file, misclassified as AI-generated with confidence 0.85420441 assert 'AI' == 'Human' - Human + AI">E AssertionError: Italy.txt is a human-generated file, misclassified as AI-generated with confidence 0.85420441
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_samples[CUP1.txt]" time="3.188"><properties><property name="score" value="0.4083173918700001" /></properties><failure message="AssertionError: CUP1.txt is a human-generated file, misclassified as AI-generated with confidence 0.40831739 assert 'AI' == 'Human' - Human + AI">E AssertionError: CUP1.txt is a human-generated file, misclassified as AI-generated with confidence 0.40831739
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_samples[Seedbombing.txt]" time="0.949"><properties><property name="score" value="0.044083305" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Nathans_Bylichka.txt]" time="5.581"><properties><property name="score" value="0.3728149387142857" /></properties><failure message="AssertionError: Nathans_Bylichka.txt is a human-generated file, misclassified as AI-generated with confidence 0.37281494 assert 'AI' == 'Human' - Human + AI">E AssertionError: Nathans_Bylichka.txt is a human-generated file, misclassified as AI-generated with confidence 0.37281494
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_samples[Anti-Terrorist.txt]" time="0.613"><properties><property name="score" value="0.031813759500000004" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[Protocol_Regarding_Access.txt]" time="1.181"><properties><property name="score" value="0.01185575925" /></properties><failure message="AssertionError: Protocol_Regarding_Access.txt is a human-generated file, misclassified as AI-generated with confidence 0.01185576 assert 'AI' == 'Human' - Human + AI">E AssertionError: Protocol_Regarding_Access.txt is a human-generated file, misclassified as AI-generated with confidence 0.01185576
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_samples[IntroHongKong.txt]" time="0.340"><properties><property name="score" value="0.03393609" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[wwf12.txt]" time="0.301"><properties><property name="score" value="0.0110121595" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[112C-L013.txt]" time="0.302"><properties><property name="score" value="0.07344776" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_samples[blog-varsity-athletics.txt]" time="0.587"><properties><property name="score" value="0.49355546450000004" /></properties><failure message="AssertionError: blog-varsity-athletics.txt is a human-generated file, misclassified as AI-generated with confidence 0.49355546 assert 'AI' == 'Human' - Human + AI">E AssertionError: blog-varsity-athletics.txt is a human-generated file, misclassified as AI-generated with confidence 0.49355546
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_samples[AMC2.txt]" time="0.303"><properties><property name="score" value="0.0012100624" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.00667_generated.txt]" time="0.576"><properties><property name="score" value="0.085779265" /></properties><failure message="AssertionError: 2111.00667_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.08577926 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.00667_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.08577926
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.13472_generated.txt]" time="0.587"><properties><property name="score" value="0.021518702" /></properties><failure message="AssertionError: 2110.13472_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.0215187 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.13472_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.0215187
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.03612_generated.txt]" time="0.859"><properties><property name="score" value="0.055625297500000004" /></properties><failure message="AssertionError: 2111.03612_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.0556253 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.03612_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.0556253
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.00310_generated.txt]" time="0.587"><properties><property name="score" value="0.3509441553" /></properties><failure message="AssertionError: 2111.00310_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.35094416 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.00310_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.35094416
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.06230_generated.txt]" time="0.984"><properties><property name="score" value="0.22204800375" /></properties><failure message="AssertionError: 2111.06230_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.222048 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.06230_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.222048
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.06012_generated.txt]" time="0.843"><properties><property name="score" value="0.036736655666666666" /></properties><failure message="AssertionError: 2111.06012_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.03673666 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.06012_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.03673666
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.01676_generated.txt]" time="0.658"><properties><property name="score" value="0.10944002800000001" /></properties><failure message="AssertionError: 2111.01676_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.10944003 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.01676_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.10944003
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2112.00405_generated.txt]" time="0.594"><properties><property name="score" value="1.3204317300000001" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[gpt_exercise.txt]" time="0.254"><properties><property name="score" value="0.013640298" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.05241_generated.txt]" time="0.612"><properties><property name="score" value="0.10317413325" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.12645_generated.txt]" time="0.537"><properties><property name="score" value="0.705281035" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.07793_generated.txt]" time="1.134"><properties><property name="score" value="0.254019816" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[cleaned_2111.00086_generated.txt]" time="0.607"><properties><property name="score" value="0.00492936665" /></properties><failure message="AssertionError: cleaned_2111.00086_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00492937 assert 'Human' == 'AI' - AI + Human">E AssertionError: cleaned_2111.00086_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00492937
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.10340_generated.txt]" time="0.586"><properties><property name="score" value="0.0010709305333333333" /></properties><failure message="AssertionError: 2110.10340_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00107093 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.10340_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00107093
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.11115_generated.txt]" time="0.585"><properties><property name="score" value="0.056358189999999996" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.15093_generated.txt]" time="0.573"><properties><property name="score" value="0.09055453999999999" /></properties><failure message="AssertionError: 2111.15093_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.09055454 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.15093_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.09055454
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.01515_generated.txt]" time="1.672"><properties><property name="score" value="0.096672631" /></properties><failure message="AssertionError: 2111.01515_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.09667263 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.01515_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.09667263
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.12501_generated.txt]" time="0.556"><properties><property name="score" value="0.013567923666666667" /></properties><failure message="AssertionError: 2110.12501_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01356792 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.12501_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01356792
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.02041_generated.txt]" time="1.120"><properties><property name="score" value="0.14138968000000002" /></properties><failure message="AssertionError: 2111.02041_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.14138968 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.02041_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.14138968
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.01023_generated.txt]" time="3.924"><properties><property name="score" value="1.060074968" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.03715_generated.txt]" time="0.498"><properties><property name="score" value="0.6565959165" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.02760_generated.txt]" time="0.540"><properties><property name="score" value="0.020274649999999988" /></properties><failure message="AssertionError: 2111.02760_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02027465 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.02760_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02027465
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.02574_generated.txt]" time="0.535"><properties><property name="score" value="0.0064772728" /></properties><failure message="AssertionError: 2111.02574_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00647727 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.02574_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00647727
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.15023_generated.txt]" time="0.601"><properties><property name="score" value="0.01920905566666667" /></properties><failure message="AssertionError: 2110.15023_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01920906 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.15023_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01920906
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.03320_generated.txt]" time="1.180"><properties><property name="score" value="0.035060245000000004" /></properties><failure message="AssertionError: 2111.03320_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.03506025 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.03320_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.03506025
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[gpt_patient_narrative.txt]" time="0.266"><properties><property name="score" value="0.4703216" /></properties><failure message="AssertionError: gpt_patient_narrative.txt is an LLM-generated file, misclassified as human-generated with confidence 0.4703216 assert 'Human' == 'AI' - AI + Human">E AssertionError: gpt_patient_narrative.txt is an LLM-generated file, misclassified as human-generated with confidence 0.4703216
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.15317_generated.txt]" time="0.641"><properties><property name="score" value="0.0134487305" /></properties><failure message="AssertionError: 2110.15317_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01344873 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.15317_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01344873
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.06181_generated.txt]" time="0.882"><properties><property name="score" value="0.10901642333333333" /></properties><failure message="AssertionError: 2111.06181_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.10901642 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.06181_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.10901642
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.03294_generated.txt]" time="0.537"><properties><property name="score" value="0.1749613575" /></properties><failure message="AssertionError: 2111.03294_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.17496136 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.03294_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.17496136
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.15436_generated.txt]" time="0.892"><properties><property name="score" value="0.013342291999999999" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.00867_generated.txt]" time="0.628"><properties><property name="score" value="0.0053052056" /></properties><failure message="AssertionError: 2111.00867_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00530521 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.00867_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00530521
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.05754_generated.txt]" time="0.554"><properties><property name="score" value="0.028684340000000003" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.12341_generated.txt]" time="0.547"><properties><property name="score" value="0.154240047" /></properties><failure message="AssertionError: 2110.12341_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.15424005 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.12341_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.15424005
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.00086_generated.txt]" time="0.563"><properties><property name="score" value="0.00295919065" /></properties><failure message="AssertionError: 2111.00086_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00295919 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.00086_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00295919
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.02326_generated.txt]" time="0.876"><properties><property name="score" value="0.016982728333333332" /></properties><failure message="AssertionError: 2111.02326_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01698273 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.02326_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01698273
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.00514_generated.txt]" time="0.669"><properties><property name="score" value="0.188510125" /></properties><failure message="AssertionError: 2111.00514_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.18851013 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.00514_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.18851013
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.14532_generated.txt]" time="0.566"><properties><property name="score" value="0.004167286433333333" /></properties><failure message="AssertionError: 2110.14532_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00416729 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.14532_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00416729
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.07408_generated.txt]" time="0.534"><properties><property name="score" value="0.0771191495" /></properties><failure message="AssertionError: 2111.07408_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.07711915 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.07408_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.07711915
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.00035_generated.txt]" time="0.880"><properties><property name="score" value="0.029852037999999997" /></properties><failure message="AssertionError: 2111.00035_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02985204 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.00035_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02985204
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.02687_generated.txt]" time="0.763"><properties><property name="score" value="0.052252129" /></properties><failure message="AssertionError: 2111.02687_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.05225213 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.02687_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.05225213
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.05204_generated.txt]" time="0.675"><properties><property name="score" value="0.010864438099999998" /></properties><failure message="AssertionError: 2111.05204_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01086444 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.05204_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01086444
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.10478_generated.txt]" time="0.280"><properties><property name="score" value="0.6326105" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.02188_generated.txt]" time="1.266"><properties><property name="score" value="0.110113507" /></properties><failure message="AssertionError: 2111.02188_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.11011351 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.02188_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.11011351
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.10575_generated.txt]" time="0.574"><properties><property name="score" value="0.029369691" /></properties><failure message="AssertionError: 2110.10575_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02936969 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.10575_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02936969
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.07525_generated.txt]" time="0.589"><properties><property name="score" value="0.0228701172" /></properties><failure message="AssertionError: 2111.07525_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02287012 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.07525_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02287012
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.10577_generated.txt]" time="0.592"><properties><property name="score" value="1.547653988" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.15473_generated.txt]" time="0.586"><properties><property name="score" value="0.46210226635" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.10778_generated.txt]" time="0.508"><properties><property name="score" value="0.11058644" /></properties><failure message="AssertionError: 2110.10778_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.11058644 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.10778_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.11058644
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.13900_generated.txt]" time="1.018"><properties><property name="score" value="0.14730689900000002" /></properties><failure message="AssertionError: 2110.13900_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.1473069 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.13900_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.1473069
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.04416_generated.txt]" time="0.802"><properties><property name="score" value="0.012649427333333333" /></properties><failure message="AssertionError: 2111.04416_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01264943 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.04416_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01264943
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.03913_generated.txt]" time="0.607"><properties><property name="score" value="0.00472829155" /></properties><failure message="AssertionError: 2111.03913_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00472829 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.03913_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00472829
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.01706_generated.txt]" time="0.519"><properties><property name="score" value="0.0324598543" /></properties><failure message="AssertionError: 2111.01706_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.03245985 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.01706_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.03245985
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.01243_generated.txt]" time="0.653"><properties><property name="score" value="0.09889898" /></properties><failure message="AssertionError: 2111.01243_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.09889898 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.01243_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.09889898
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.11879_generated.txt]" time="0.679"><properties><property name="score" value="0.40018102499999997" /></properties><failure message="AssertionError: 2110.11879_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.40018102 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.11879_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.40018102
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.10329_generated.txt]" time="0.618"><properties><property name="score" value="0.019779301200000002" /></properties><failure message="AssertionError: 2110.10329_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.0197793 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.10329_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.0197793
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.04507_generated.txt]" time="0.548"><properties><property name="score" value="0.31531139" /></properties><failure message="AssertionError: 2111.04507_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.31531139 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.04507_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.31531139
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.03837_generated.txt]" time="0.857"><properties><property name="score" value="0.6591725216666666" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.00572_generated.txt]" time="0.543"><properties><property name="score" value="0.00453551565" /></properties><failure message="AssertionError: 2111.00572_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00453552 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.00572_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00453552
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.11984_generated.txt]" time="0.743"><properties><property name="score" value="0.1379989625" /></properties><failure message="AssertionError: 2110.11984_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.13799896 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.11984_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.13799896
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.06464_generated.txt]" time="0.584"><properties><property name="score" value="0.19220255" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[cgpt_hs_essay2.txt]" time="0.350"><properties><property name="score" value="0.20345044" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.02110_generated.txt]" time="0.656"><properties><property name="score" value="0.098007003" /></properties><failure message="AssertionError: 2111.02110_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.098007 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.02110_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.098007
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[cgpt_hs_essay.txt]" time="0.470"><properties><property name="score" value="0.11243306" /></properties><failure message="AssertionError: cgpt_hs_essay.txt is an LLM-generated file, misclassified as human-generated with confidence 0.11243306 assert 'Human' == 'AI' - AI + Human">E AssertionError: cgpt_hs_essay.txt is an LLM-generated file, misclassified as human-generated with confidence 0.11243306
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.15802_generated.txt]" time="0.620"><properties><property name="score" value="0.0026097926" /></properties><failure message="AssertionError: 2110.15802_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00260979 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.15802_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00260979
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.11589_generated.txt]" time="0.641"><properties><property name="score" value="0.0133893753" /></properties><failure message="AssertionError: 2110.11589_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01338938 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.11589_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01338938
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.15724_generated.txt]" time="0.728"><properties><property name="score" value="0.15723013666666666" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.15130_generated.txt]" time="1.044"><properties><property name="score" value="0.48306068133333335" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.06644_generated.txt]" time="0.654"><properties><property name="score" value="0.028277022333333336" /></properties><failure message="AssertionError: 2111.06644_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02827702 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.06644_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02827702
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[bard_news.txt]" time="0.284"><properties><property name="score" value="0.010302887" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.01322_generated.txt]" time="0.622"><properties><property name="score" value="0.009188202" /></properties><failure message="AssertionError: 2111.01322_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.0091882 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.01322_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.0091882
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.00526_generated.txt]" time="0.623"><properties><property name="score" value="0.015507944333333334" /></properties><failure message="AssertionError: 2111.00526_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01550794 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.00526_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01550794
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.12010_generated.txt]" time="0.755"><properties><property name="score" value="0.034934033" /></properties><failure message="AssertionError: 2110.12010_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.03493403 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.12010_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.03493403
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.13317_generated.txt]" time="0.931"><properties><property name="score" value="0.00554525175" /></properties><failure message="AssertionError: 2110.13317_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00554525 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.13317_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00554525
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[gpt_santos_long.txt]" time="0.563"><properties><property name="score" value="0.63803977" /></properties><failure message="AssertionError: gpt_santos_long.txt is an LLM-generated file, misclassified as human-generated with confidence 0.63803977 assert 'Human' == 'AI' - AI + Human">E AssertionError: gpt_santos_long.txt is an LLM-generated file, misclassified as human-generated with confidence 0.63803977
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.02643_generated.txt]" time="2.142"><properties><property name="score" value="0.09290933366666666" /></properties><failure message="AssertionError: 2111.02643_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.09290933 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.02643_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.09290933
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[about_me.txt]" time="0.278"><properties><property name="score" value="0.12622367" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.15534_generated.txt]" time="0.659"><properties><property name="score" value="0.0347588965" /></properties><failure message="AssertionError: 2110.15534_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.0347589 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.15534_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.0347589
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.07611_generated.txt]" time="0.605"><properties><property name="score" value="0.061398102999999996" /></properties><failure message="AssertionError: 2111.07611_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.0613981 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.07611_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.0613981
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.13658_generated.txt]" time="0.787"><properties><property name="score" value="0.052508727666666664" /></properties><failure message="AssertionError: 2110.13658_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.05250873 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.13658_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.05250873
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.15725_generated.txt]" time="0.642"><properties><property name="score" value="0.0169836635" /></properties><failure message="AssertionError: 2110.15725_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01698366 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.15725_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01698366
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.01231_generated.txt]" time="0.590"><properties><property name="score" value="0.010363292333333333" /></properties><failure message="AssertionError: 2111.01231_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01036329 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.01231_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01036329
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.10319_generated.txt]" time="0.566"><properties><property name="score" value="0.15127230325000002" /></properties><failure message="AssertionError: 2110.10319_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.1512723 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.10319_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.1512723
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.01340_generated.txt]" time="0.578"><properties><property name="score" value="0.1037603795" /></properties><failure message="AssertionError: 2111.01340_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.10376038 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.01340_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.10376038
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.07699_generated.txt]" time="0.893"><properties><property name="score" value="0.06010468176666667" /></properties><failure message="AssertionError: 2111.07699_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.06010468 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.07699_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.06010468
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.15705_generated.txt]" time="1.005"><properties><property name="score" value="0.6654146376666666" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.02844_generated.txt]" time="0.579"><properties><property name="score" value="0.011772622" /></properties><failure message="AssertionError: 2111.02844_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01177262 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.02844_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.01177262
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.04130_generated.txt]" time="0.881"><properties><property name="score" value="0.076640639" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.02259_generated.txt]" time="0.608"><properties><property name="score" value="0.0017987490000000005" /></properties><failure message="AssertionError: 2111.02259_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00179875 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.02259_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.00179875
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.00180_generated.txt]" time="0.887"><properties><property name="score" value="0.15917720333333332" /></properties><failure message="AssertionError: 2111.00180_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.1591772 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.00180_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.1591772
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.04574_generated.txt]" time="1.103"><properties><property name="score" value="0.0224713585" /></properties><failure message="AssertionError: 2111.04574_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02247136 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.04574_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02247136
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.00808_generated.txt]" time="0.697"><properties><property name="score" value="0.024298633150000002" /></properties><failure message="AssertionError: 2111.00808_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02429863 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.00808_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02429863
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.12765_generated.txt]" time="0.651"><properties><property name="score" value="0.061283506" /></properties><failure message="AssertionError: 2110.12765_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.06128351 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.12765_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.06128351
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.13229_generated.txt]" time="0.644"><properties><property name="score" value="0.0499929915" /></properties><failure message="AssertionError: 2110.13229_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.04999299 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.13229_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.04999299
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.00554_generated.txt]" time="0.610"><properties><property name="score" value="0.14459610499999997" /></properties><failure message="AssertionError: 2111.00554_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.1445961 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.00554_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.1445961
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.11207_generated.txt]" time="0.531"><properties><property name="score" value="0.1066930485" /></properties><failure message="AssertionError: 2110.11207_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.10669305 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.11207_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.10669305
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.00607_generated.txt]" time="0.565"><properties><property name="score" value="0.026271642" /></properties><failure message="AssertionError: 2111.00607_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02627164 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.00607_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02627164
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.07267_generated.txt]" time="0.615"><properties><property name="score" value="0.0501786855" /></properties><failure message="AssertionError: 2111.07267_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.05017869 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.07267_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.05017869
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.11205_generated.txt]" time="0.909"><properties><property name="score" value="0.096508154" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[bard_internet_abstract.txt]" time="0.277"><properties><property name="score" value="0.0024929887" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.03945_generated.txt]" time="0.533"><properties><property name="score" value="0.02875165925" /></properties><failure message="AssertionError: 2111.03945_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02875166 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.03945_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.02875166
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.12383_generated.txt]" time="0.547"><properties><property name="score" value="0.06655878550000001" /></properties><failure message="AssertionError: 2110.12383_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.06655879 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.12383_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.06655879
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2111.02362_generated.txt]" time="0.932"><properties><property name="score" value="0.49192042666666663" /></properties><failure message="AssertionError: 2111.02362_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.49192043 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2111.02362_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.49192043
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[2110.15799_generated.txt]" time="0.620"><properties><property name="score" value="0.08151335" /></properties><failure message="AssertionError: 2110.15799_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.08151335 assert 'Human' == 'AI' - AI + Human">E AssertionError: 2110.15799_generated.txt is an LLM-generated file, misclassified as human-generated with confidence 0.08151335
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_sample[bard_abstract.txt]" time="0.280"><properties><property name="score" value="0.048614237" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i0]" time="0.287"><properties><property name="score" value="0.023145905" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i1]" time="0.257"><properties><property name="score" value="0.019263774" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i2]" time="0.246"><properties><property name="score" value="0.18528832" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i3]" time="0.291"><properties><property name="score" value="0.0068261456" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i4]" time="0.252"><properties><property name="score" value="1.9232781" /></properties><failure message="AssertionError: samples/webtext.test.jsonl:255012 (len: 359) is a human-generated sample, misclassified as AI-generated with confidence 1.9232781 assert 'AI' == 'Human' - Human + AI">E AssertionError: samples/webtext.test.jsonl:255012 (len: 359) is a human-generated sample, misclassified as AI-generated with confidence 1.9232781
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i5]" time="0.295"><properties><property name="score" value="0.0024968137" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i6]" time="0.297"><properties><property name="score" value="0.00041792757" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i7]" time="0.278"><properties><property name="score" value="0.0047277096" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i8]" time="0.270"><properties><property name="score" value="0.055262186" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i9]" time="0.292"><properties><property name="score" value="0.0020913442" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i10]" time="0.303"><properties><property name="score" value="0.00063788495" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i11]" time="0.322"><properties><property name="score" value="0.6770118" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i12]" time="0.269"><properties><property name="score" value="0.19766712" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i13]" time="0.303"><properties><property name="score" value="0.0630976" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i14]" time="0.530"><properties><property name="score" value="0.026667291000000003" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i15]" time="0.295"><properties><property name="score" value="0.1099085" /></properties><failure message="AssertionError: samples/webtext.test.jsonl:255027 (len: 694) is a human-generated sample, misclassified as AI-generated with confidence 0.1099085 assert 'AI' == 'Human' - Human + AI">E AssertionError: samples/webtext.test.jsonl:255027 (len: 694) is a human-generated sample, misclassified as AI-generated with confidence 0.1099085
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i16]" time="0.282"><properties><property name="score" value="0.013576553" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i17]" time="0.291"><properties><property name="score" value="0.040510647" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i18]" time="0.275"><properties><property name="score" value="0.0066113826" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i19]" time="0.322"><properties><property name="score" value="0.0111308375" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i20]" time="0.249"><properties><property name="score" value="0.00081251474" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i21]" time="0.290"><properties><property name="score" value="0.0006883472" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i22]" time="0.259"><properties><property name="score" value="0.08149141" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i23]" time="0.267"><properties><property name="score" value="0.41613722" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i24]" time="0.240"><properties><property name="score" value="0.012558271" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i25]" time="0.372"><properties><property name="score" value="0.114197515" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i26]" time="0.258"><properties><property name="score" value="0.0021769998" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i27]" time="0.261"><properties><property name="score" value="0.058521617" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i28]" time="0.296"><properties><property name="score" value="0.011329408" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i29]" time="0.306"><properties><property name="score" value="0.195082175" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i30]" time="0.288"><properties><property name="score" value="0.0031491157" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i31]" time="0.704"><properties><property name="score" value="0.01572575" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i32]" time="0.271"><properties><property name="score" value="0.2377757" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i33]" time="0.286"><properties><property name="score" value="0.00245722735" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i34]" time="0.299"><properties><property name="score" value="0.18201885" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i35]" time="0.285"><properties><property name="score" value="0.0047551394" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i36]" time="0.253"><properties><property name="score" value="0.0005475703" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i37]" time="0.268"><properties><property name="score" value="0.034572845" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i38]" time="0.300"><properties><property name="score" value="0.0025545433" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i39]" time="0.325"><properties><property name="score" value="0.00244246425" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i40]" time="0.319"><properties><property name="score" value="0.025508251" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i41]" time="0.287"><properties><property name="score" value="0.04990731" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i42]" time="0.333"><properties><property name="score" value="0.06870315" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i43]" time="0.312"><properties><property name="score" value="0.015067308" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i44]" time="0.362"><properties><property name="score" value="0.0052888934" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i45]" time="0.331"><properties><property name="score" value="0.00102711" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i46]" time="0.309"><properties><property name="score" value="0.017415404" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i47]" time="0.267"><properties><property name="score" value="1.5787563" /></properties><failure message="AssertionError: samples/webtext.test.jsonl:255069 (len: 281) is a human-generated sample, misclassified as AI-generated with confidence 1.5787563 assert 'AI' == 'Human' - Human + AI">E AssertionError: samples/webtext.test.jsonl:255069 (len: 281) is a human-generated sample, misclassified as AI-generated with confidence 1.5787563
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i48]" time="0.262"><properties><property name="score" value="0.059069492" /></properties></testcase><testcase classname="test_openai_detect" name="test_human_jsonl[i49]" time="0.281"><properties><property name="score" value="0.013458378" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i0]" time="0.289"><properties><property name="score" value="0.0027013125" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255002 (text: People carry a memorial sign to honor Robert Paxto) is an LLM-generated sample, misclassified as human-generated with confidence 0.00270131 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255002 (text: People carry a memorial sign to honor Robert Paxto) is an LLM-generated sample, misclassified as human-generated with confidence 0.00270131
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i1]" time="0.264"><properties><property name="score" value="0.035544638" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255003 (text: Google is launching a new scholarship campaign for) is an LLM-generated sample, misclassified as human-generated with confidence 0.03554464 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255003 (text: Google is launching a new scholarship campaign for) is an LLM-generated sample, misclassified as human-generated with confidence 0.03554464
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i2]" time="0.300"><properties><property name="score" value="0.19028887" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i3]" time="0.269"><properties><property name="score" value="0.19029765" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i4]" time="0.242"><properties><property name="score" value="0.016327059" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255006 (text: ISIS is breeding from among the refugees forced ou) is an LLM-generated sample, misclassified as human-generated with confidence 0.01632706 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255006 (text: ISIS is breeding from among the refugees forced ou) is an LLM-generated sample, misclassified as human-generated with confidence 0.01632706
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i5]" time="0.277"><properties><property name="score" value="0.0" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255007 (text: More than a third of population as of recently, Ma) is an LLM-generated sample, misclassified as human-generated with confidence 0.0 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255007 (text: More than a third of population as of recently, Ma) is an LLM-generated sample, misclassified as human-generated with confidence 0.0
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i6]" time="0.295"><properties><property name="score" value="0.00088851544" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255008 (text: © Provided by Texas State Historical Association' ) is an LLM-generated sample, misclassified as human-generated with confidence 0.00088852 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255008 (text: © Provided by Texas State Historical Association' ) is an LLM-generated sample, misclassified as human-generated with confidence 0.00088852
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i7]" time="0.548"><properties><property name="score" value="0.015645305" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i8]" time="0.320"><properties><property name="score" value="0.04341305" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255010 (text: Bots and AI are everywhere these days, and it's no) is an LLM-generated sample, misclassified as human-generated with confidence 0.04341305 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255010 (text: Bots and AI are everywhere these days, and it's no) is an LLM-generated sample, misclassified as human-generated with confidence 0.04341305
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i9]" time="0.285"><properties><property name="score" value="0.096550584" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i10]" time="0.294"><properties><property name="score" value="0.004519382" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255012 (text: Dr. Karl Widerquist says his study "opens up an in) is an LLM-generated sample, misclassified as human-generated with confidence 0.00451938 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255012 (text: Dr. Karl Widerquist says his study "opens up an in) is an LLM-generated sample, misclassified as human-generated with confidence 0.00451938
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i11]" time="0.282"><properties><property name="score" value="0.09833342" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i12]" time="0.336"><properties><property name="score" value="0.0021957597" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255015 (text: CALGARY — Tory MP Mac Harb resigned from the Conse) is an LLM-generated sample, misclassified as human-generated with confidence 0.00219576 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255015 (text: CALGARY — Tory MP Mac Harb resigned from the Conse) is an LLM-generated sample, misclassified as human-generated with confidence 0.00219576
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i13]" time="0.287"><properties><property name="score" value="0.0" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255016 (text: SERVO, Jupiter - Since the discovery of the swirli) is an LLM-generated sample, misclassified as human-generated with confidence 0.0 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255016 (text: SERVO, Jupiter - Since the discovery of the swirli) is an LLM-generated sample, misclassified as human-generated with confidence 0.0
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i14]" time="1.617"><properties><property name="score" value="0.058245547" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i15]" time="0.293"><properties><property name="score" value="0.003053159" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255019 (text: PITTSBURGH, Aug. 15, 2013 /PRNewswire/ -- The Nati) is an LLM-generated sample, misclassified as human-generated with confidence 0.00305316 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255019 (text: PITTSBURGH, Aug. 15, 2013 /PRNewswire/ -- The Nati) is an LLM-generated sample, misclassified as human-generated with confidence 0.00305316
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i16]" time="0.298"><properties><property name="score" value="0.0" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255020 (text: Albert Einstein, one of the world's most famous sc) is an LLM-generated sample, misclassified as human-generated with confidence 0.0 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255020 (text: Albert Einstein, one of the world's most famous sc) is an LLM-generated sample, misclassified as human-generated with confidence 0.0
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i17]" time="0.369"><properties><property name="score" value="0.377493085" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i18]" time="0.297"><properties><property name="score" value="0.3812749" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255022 (text: Thank you for supporting the journalism that our c) is an LLM-generated sample, misclassified as human-generated with confidence 0.3812749 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255022 (text: Thank you for supporting the journalism that our c) is an LLM-generated sample, misclassified as human-generated with confidence 0.3812749
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i19]" time="0.287"><properties><property name="score" value="0.020837525" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i20]" time="0.306"><properties><property name="score" value="0.088077395" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i21]" time="0.293"><properties><property name="score" value="2.9873345" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i22]" time="0.300"><properties><property name="score" value="0.14252894" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i23]" time="0.353"><properties><property name="score" value="0.12127983" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i24]" time="0.283"><properties><property name="score" value="0.17284635" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i25]" time="0.291"><properties><property name="score" value="0.19538642" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255031 (text: A small group of Soviet "Oh-On's" fled North Vietn) is an LLM-generated sample, misclassified as human-generated with confidence 0.19538642 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255031 (text: A small group of Soviet "Oh-On's" fled North Vietn) is an LLM-generated sample, misclassified as human-generated with confidence 0.19538642
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i26]" time="0.279"><properties><property name="score" value="0.0010714434" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255033 (text: PALLBRIDGE, Mass. -- The New Hampshire Department ) is an LLM-generated sample, misclassified as human-generated with confidence 0.00107144 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255033 (text: PALLBRIDGE, Mass. -- The New Hampshire Department ) is an LLM-generated sample, misclassified as human-generated with confidence 0.00107144
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i27]" time="0.262"><properties><property name="score" value="0.007500314" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255035 (text: Speaker Paul Ryan Paul Davis RyanHouse passes reso) is an LLM-generated sample, misclassified as human-generated with confidence 0.00750031 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255035 (text: Speaker Paul Ryan Paul Davis RyanHouse passes reso) is an LLM-generated sample, misclassified as human-generated with confidence 0.00750031
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i28]" time="0.373"><properties><property name="score" value="0.0" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255036 (text: To revisit an idea that a writer once put forth in) is an LLM-generated sample, misclassified as human-generated with confidence 0.0 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255036 (text: To revisit an idea that a writer once put forth in) is an LLM-generated sample, misclassified as human-generated with confidence 0.0
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i29]" time="0.273"><properties><property name="score" value="0.0006379849" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255037 (text: Jimmy Pastore worked his way up from the lightweig) is an LLM-generated sample, misclassified as human-generated with confidence 0.00063798 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255037 (text: Jimmy Pastore worked his way up from the lightweig) is an LLM-generated sample, misclassified as human-generated with confidence 0.00063798
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i30]" time="0.274"><properties><property name="score" value="0.30500448" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255039 (text: The Republican-led legislature will not appoint a ) is an LLM-generated sample, misclassified as human-generated with confidence 0.30500448 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255039 (text: The Republican-led legislature will not appoint a ) is an LLM-generated sample, misclassified as human-generated with confidence 0.30500448
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i31]" time="0.294"><properties><property name="score" value="0.0" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255040 (text: http://tvtropes.org/pmwiki/pmwiki.php/Main/Dunes ) is an LLM-generated sample, misclassified as human-generated with confidence 0.0 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255040 (text: http://tvtropes.org/pmwiki/pmwiki.php/Main/Dunes ) is an LLM-generated sample, misclassified as human-generated with confidence 0.0
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i32]" time="0.275"><properties><property name="score" value="0.09371958" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255041 (text: You have a choice when your four year old gets to ) is an LLM-generated sample, misclassified as human-generated with confidence 0.09371958 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255041 (text: You have a choice when your four year old gets to ) is an LLM-generated sample, misclassified as human-generated with confidence 0.09371958
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i33]" time="0.315"><properties><property name="score" value="0.06809631" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i34]" time="0.299"><properties><property name="score" value="0.8379105" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i35]" time="0.278"><properties><property name="score" value="0.0" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255045 (text: Fear that mirrors a changing political dynamic in ) is an LLM-generated sample, misclassified as human-generated with confidence 0.0 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255045 (text: Fear that mirrors a changing political dynamic in ) is an LLM-generated sample, misclassified as human-generated with confidence 0.0
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i36]" time="0.308"><properties><property name="score" value="0.21163192" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i37]" time="0.296"><properties><property name="score" value="0.21505855" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255047 (text: 16 #geekyvimcovers submitted after watching this v) is an LLM-generated sample, misclassified as human-generated with confidence 0.21505855 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255047 (text: 16 #geekyvimcovers submitted after watching this v) is an LLM-generated sample, misclassified as human-generated with confidence 0.21505855
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assert 'Human' == 'AI'
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- AI
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+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i38]" time="0.979"><properties><property name="score" value="0.166641025" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i39]" time="0.301"><properties><property name="score" value="0.011271003" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255049 (text: Watch Rick Santorum's full interview with Glenn Be) is an LLM-generated sample, misclassified as human-generated with confidence 0.011271 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255049 (text: Watch Rick Santorum's full interview with Glenn Be) is an LLM-generated sample, misclassified as human-generated with confidence 0.011271
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assert 'Human' == 'AI'
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- AI
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+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i40]" time="0.292"><properties><property name="score" value="0.0020966588" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255050 (text: Passengers and regulators round up illegal drugs d) is an LLM-generated sample, misclassified as human-generated with confidence 0.00209666 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255050 (text: Passengers and regulators round up illegal drugs d) is an LLM-generated sample, misclassified as human-generated with confidence 0.00209666
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assert 'Human' == 'AI'
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- AI
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|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i41]" time="0.315"><properties><property name="score" value="0.06779383" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i42]" time="0.471"><properties><property name="score" value="0.0" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255053 (text: 2000 Year Oro Jackson The tomb was previously ide) is an LLM-generated sample, misclassified as human-generated with confidence 0.0 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255053 (text: 2000 Year Oro Jackson The tomb was previously ide) is an LLM-generated sample, misclassified as human-generated with confidence 0.0
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assert 'Human' == 'AI'
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- AI
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+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i43]" time="0.267"><properties><property name="score" value="0.007875523" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255055 (text: Despite offering three levels of adaptive service,) is an LLM-generated sample, misclassified as human-generated with confidence 0.00787552 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255055 (text: Despite offering three levels of adaptive service,) is an LLM-generated sample, misclassified as human-generated with confidence 0.00787552
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assert 'Human' == 'AI'
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- AI
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+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i44]" time="0.314"><properties><property name="score" value="0.13954033" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255056 (text: The third and final African adventure. The first t) is an LLM-generated sample, misclassified as human-generated with confidence 0.13954033 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255056 (text: The third and final African adventure. The first t) is an LLM-generated sample, misclassified as human-generated with confidence 0.13954033
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assert 'Human' == 'AI'
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- AI
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+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i45]" time="0.305"><properties><property name="score" value="0.06856507" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i46]" time="0.317"><properties><property name="score" value="0.31269073" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i47]" time="0.601"><properties><property name="score" value="0.585746556" /></properties></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i48]" time="0.297"><properties><property name="score" value="0.027522136" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255062 (text: Saturday, 13 February 2015 (CNW Group/Black Wit ) is an LLM-generated sample, misclassified as human-generated with confidence 0.02752214 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255062 (text: Saturday, 13 February 2015 (CNW Group/Black Wit ) is an LLM-generated sample, misclassified as human-generated with confidence 0.02752214
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|
assert 'Human' == 'AI'
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- AI
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|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_llm_jsonl[i49]" time="0.367"><properties><property name="score" value="0.06903698" /></properties><failure message="AssertionError: samples/xl-1542M.test.jsonl:255063 (text: Sorting, Pricing, and Reviews iOS UK: who product) is an LLM-generated sample, misclassified as human-generated with confidence 0.06903698 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/xl-1542M.test.jsonl:255063 (text: Sorting, Pricing, and Reviews iOS UK: who product) is an LLM-generated sample, misclassified as human-generated with confidence 0.06903698
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assert 'Human' == 'AI'
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- AI
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|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Glacier Ridge Christian School\n\nGlacier Ridge Christian School is a private Christian school in Johnstown, Ohio. It was founded in the fall of 1999 by Gary and Tammy Smith.\n\nThe school started with just 13 students in grades 5-8. By the end of the first year, the school had grown to 65 students in those same grades. As the school has continued to grow, so has the number of teachers.\n\nBy the year 2009, Glacier Ridge had expanded to offer a preschool through 12th grade education, and the school had grown to almost 200 students. In the fall of 2013, the enrollment was over 300 students.\n\nThe school started with the first graduating class of 2002. They are now on their 11th graduating class, and the school's graduates continue to receive acceptance to universities across the United States. The school offers several Advanced Placement classes.\n\nGlacier Ridge has had its students participate in various competitions and competitions. Most notable are the sports teams, especially their basketball teams, which have qualified for state competition multiple times. The school has also had various music groups participate in state and regional competitions, and in the 2010-2011 school year, the school sent students to participate in an International Children's Games competition in Romania.\n\nIn the 2010-2011 school year, a group of the school's teachers were sent to Haiti to help establish a new orphanage, "Eli's Children's House", which was dedicated to Eli Pierre, who had died in a motorcycle accident. They were instrumental in bringing the orphanage into the community by helping establish new programs for the children, including English as a Second Language, Computer Lab, and Physical Education classes. The teachers assisted in the education of the orphans as well as working with the staff on the property.\n\nThe school has also taken various trips over the years, including trips to Virginia and New York City. The school also hosted an educational trip to Washington D.C. for one of their graduating classes.\n\nThe school has participated in various community events and service projects. One of the most notable is their annual "Twilight Prom" that is held each spring. Each year, the school hosts a prom for local high school students who have special needs. The students' dates are typically their own siblings.\n\nOn March 21, 2011, a fire destroyed the school's auditorium, causing over $1 million in damages. After the school received an outpouring of support, the school was able to begin construction on a new auditorium in time for the next school year.\n\nIn 2015, Glacier Ridge Christian School became part of the Christian School Association of Northeast Ohio.\n\nThe School is affiliated with the Association of Christian Schools International, the Ohio Christian Education Association, and the Christian School Association of Northeast Ohio.\n\n]" time="0.291"><properties><property name="score" value="0.14449836" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Akyem Kotoku\n\nAkyem Kotoku is one of the five traditional districts of the Ashanti Empire. The people are collectively known as Akyem Kotokus.\n\nAkyem Kotoku lies in the Eastern region of Ashanti and is bounded by the East Mamprusi to the East, Nkwantanan to the North, Ashanti to the West and Ahanta West to the South. It is part of Ashanti Region. The area is mainly mountainous with some rich valleys and hills. Akyem Kotoku is known as the "Area of Plenty".\n\nThe people are mainly farmers and fishermen. Its capital is Akyem Kotoku. It has two paramountcies, Buokrom and Kumasi. Buokrom, the newest paramountcy, was established in 1975. The Akyem Kotoku Traditional Council has nine chiefs.\n\nThe major towns are Abokobi, Domenase, Akropong, and Nsuaem. Other settlements include Aduanful, Boankraful, Denkyemerem, Anhwiaso, Gyankroma, Kwabenya, Nananom, Obofram, Okwensu, Ofoase, Nkoranza, Nsutam, Aduaso, Adom, Ofram, Odomankoma, Asafo, Anyigbe, Obofram, Kwabenya, Denkyemerem, Odumase, Nsutam, Aduaso, Nsuaem, Nsuaso, Tafo-Nsuaem, Manhyia, Boaso, Adom, Ofram, Anhwiaso, Adoase, Anyigbe, Boankraful, Okwensu, Ofoase, Nkoranza, Akropong, Gyankroma, Domenase, Egyir, Afram, Denkyerem, Nananom, Akuapem South, Asafo, Aboadze and Koma.\n\nThe Akyem Kotoku Traditional Council has nine paramountcies.\n\nThe Akyem Kotoku people have two coats of arms, one to use at home and the other for international use.\n\nThe arms used at home is a gold shield with a black anchor in the center. On the shield is a white dove with a golden olive branch in its beak. The dove is supported by two black wild dogs facing each other.\n\nThe shield is surmounted by a gold mural crown with five points and black stripes.\n\nThe shield is supported by two black lions standing on a white scroll. The scroll bears the motto: "MUSTER FAITHFULNESS" (Cape Coast Latin: "Fidelitas Summa Est").\n\nThe arms used outside the country is a gold shield with a black ram's head in the center. On the shield is a green laurel wreath.\n\nThe shield is surmounted by a gold mural crown with five points and black stripes.\n\nThe shield is supported by two black and white wild dogs standing on a white scroll. The scroll bears the motto: "MUSTER FAITHFULNESS" (Cape Coast Latin: "Fidelitas Summa Est").\n\nThe two dogs represent vigilance. The two lions in the home arms represent fortitude and strength.\n\n]" time="0.305"><properties><property name="score" value="0.021605136" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Frederic Myers\n\nFrederic William Henry Myers (15 January 1843 \u2013 18 January 1901) was a classical scholar, poet, playwright, novelist, and the founder of the Society for Psychical Research, which he led until his death.\n\nFrederic Myers was born at Kew, Surrey, the eldest son of Frederic Myers, a surgeon. He was educated at King's College School, and at St Paul's School in London. After a year at Trinity College, Cambridge (1861\u20132), he was a schoolmaster at Rugby from 1862 to 1871. In 1872 he became classical lecturer at University College, London. He became a member of the Council of the College (now part of UCL), and was appointed professor of Latin there in 1880. In 1876 Myers joined the Metaphysical Society, along with Alfred Tennyson, J. M. Barrie and others. His friendship with Barrie lasted for the remainder of his life, and Myers even accompanied Barrie and his wife on their honeymoon. Myers and Tennyson became close friends and met frequently in later years, as seen in their correspondence.\n\nMyers wrote prose and verse for periodicals, including a parody of Gerard Manley Hopkins, and some detective stories, and contributed to books of poetry and belles lettres, such as "Whistler and His Art" and the "Yellow Book". His poetry was praised by Henry James, who]" time="0.283"><properties><property name="score" value="1.1260147" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 1.1260147 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 1.1260147
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[His father was a professor and his mother was an economist. While growing up, he was exposed to the inspiring stories of his parents and their family members in China.\n\n\n\n\n\nKoh attended the University of Michigan where he received a bachelor of arts degree in economics, then went to the University of California, Berkeley where he earned a master of arts and doctor of philosophy degrees in economics.\n\n\n\n\n\nHe returned to Singapore in 1998 and joined the Singapore Civil Service.\n\n\n\n\n\nAs Deputy Secretary of the Ministry of Finance (2001-2007), he was involved in the design and implementation of the Singapore Savings Bond and the Central Provident Fund (CPF) investments.\n\n\n\n\n\nIn 2008, Koh was appointed as the Managing Director of the Monetary Authority of Singapore (MAS), where he oversees the development and implementation of macroeconomic policies for Singapore.\n\n\n\n\n\nHe is also the Chairman of the Government of Singapore Investment Corporation (GIC) which is responsible for the management of Singapore\u2019s foreign reserves and investment portfolio.]" time="0.318"><properties><property name="score" value="0.058522817" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.05852282 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.05852282
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Trixie Textured - My cat licked my thumb.\n\n\n\nJoin Date: Nov 2006 Posts: 4,592\n\nI have not been to China, though I have been to Japan and love it.\n\n\n\nI have friends in China who have also been to Japan, and they both love it, and neither of them think of it as a "poor" country. In fact, a lot of people who have been there say that China is much nicer.\n\n\n\nChina is not a poor country. They have tons of money and resources. Their problem is that they do not spend enough on infrastructure and don't value education as highly as they could. So their people do not make as much money as they could. And they don't have nice things. It is much nicer than India, but not as good as Japan. I would like to visit it, because I do not think I would be disappointed, but I don't expect it to be better than Japan.\n\n\n\nThey have a different mindset than us, and do things differently. Their government is not a democracy. It is a communist government. I think that is not a bad thing, and has it's benefits. They have much fewer guns and gun crime than we do. They are, for the most part, more honest than we are. Their infrastructure, while not as nice as ours, is very good. They spend more on infrastructure than we do. They have much more public transportation, and better public transportation. They are working on their environmental problems, and they have made more progress than we have. They have fewer social problems, and less crime than we do. They have a very good education system, especially compared to India.\n\n\n\nThey spend more money on schools and education, and invest more in their future, than we do.\n\n\n\nChina is a country that is far more well developed than many people in the US would think.\n\n\n\nThe fact that they have fewer guns, and better education and fewer social problems is probably why they have fewer school shootings than we do. I think we have way too many guns in this country, and that is a big part of the problem.\n\n\n\nJust my thoughts.]" time="0.337"><properties><property name="score" value="0.02915705" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl["Say to them: 'As surely as I live, declares the Sovereign Lord, I take no pleasure in the death of the wicked, but rather that they turn from their ways and live. Turn! Turn from your evil ways! Why will you die, people of Israel?' declares the Sovereign Lord."\n\nEzekiel 33:11-11\n\nGod wants every sinner to be saved. He does not want people to perish but be saved. God hates sin, and sin destroys a person. But He loves people. He created them to have fellowship with Him and one day live in His Kingdom, and He does not want that for one person to be lost.\n\n\n\n\n\nGod's command to Ezekiel was that He was telling him to go and tell the people of Israel that they need to turn to God, because they were going to die if they did not. We know that Ezekiel told them the same thing, because God's word is truth. God's Word does not fail.\n\n\n\n\n\nWhat God is saying is that people are going to die if they do not turn to Him. People who reject God will die. The Bible says in Romans 1:32, "Though they know God's righteous decree that those who do such things deserve death, they not only continue to do these very things but also approve of those who practice them." God says that those people who do these things deserve death, and yet people continue to do them and approve of them.\n\n\n\n\n\nGod will not tolerate the sinful acts of humanity, but He wants every person to be saved. There is only one way to be saved. The Bible says in John 14:6, "Jesus answered, 'I am the way and the truth and the life. No one comes to the Father except through me.'\u201d\n\n\n\n\n\nNo one can be saved except through Jesus Christ, but when people put Jesus as their savior, they are saved. It's that simple.\n\n\n\n\n\nThere are many people who call themselves Christians who say that God wants everyone to be saved, and they quote Ezekiel 33:11 and John 3:16, but they don't realize that God's word is truth. God says in Revelation 21:8, "But the cowardly, the unbelieving, the vile, the murderers, the sexually immoral, those who practice magic arts, the idolaters and all liars\u2014their place will be in the fiery lake of burning sulfur. This is the second death."\n\n\n\n\n\nThere is only one way to be saved, and it is not through anyone or anything but Jesus Christ. Jesus is the only way to heaven. God says that all the people who are going to perish are going to go to a place called the second death. That's hell.\n\n\n\n\n\nWhen people quote Ezekiel 33:11 and John 3:16, they don't realize that God's word is truth. They don't realize that when they say that God wants everyone to be saved, they are not telling the truth. When they say that God wants everyone to be saved, they are putting God in a box, because God's word is truth. God says that those who do not accept Jesus as their Savior are going to perish. God's word is truth, and people who do not put their faith in Jesus Christ are going to die.\n\n\n\n\n\nThe Bible says in John 14:6, "Jesus answered, 'I am the way and the truth and the life. No one comes to the Father except through me.'\u201d\n\n\n\n\n\nJesus is the only way to the Father, and no one can be saved except through Him. He died on the cross for our sins, and He rose from the dead on the third day, and He sits at the right hand of God, interceding for us. It's that simple.\n\n\n\n\n\nLet's take a look at Ezekiel 33:11-11, and read it carefully.\n\n\n\n\n\n"Say to them: 'As surely as I live, declares the Sovereign Lord, I take no pleasure in the death of the wicked, but rather that they turn from their ways and live. Turn! Turn from your evil ways! Why will you die, people of Israel?' declares the Sovereign Lord."\n\n\n\n\n\nGod says that He takes no pleasure in the death of the wicked. God does not like it when people die. But God hates sin, and sin leads to death. If people want to live, they must turn from their sins and put their faith in Jesus Christ.\n\n\n\n\n\nIf people don't put their faith in Jesus Christ, they are going to perish. God doesn't want that. He doesn't want people to perish, but to live.\n\n\n\n\n\nGod wants people to put their faith in Jesus Christ. If people put their faith in Jesus Christ, they are saved. If they don't put their faith in Jesus Christ, they are going to perish. That's the truth. That's the message of Ezekiel 33:11-11.\n\n\n\n\n\nPeople are going to die if they don't put their faith in Jesus Christ. People will perish. People will be lost. People will be doomed. People will go to hell.\n\n\n\n\n\nLet's read Ezekiel 33:11-12.\n\n\n\n\n\n"For I take no pleasure in the death of anyone," declares the Sovereign Lord. "Repent and live!"\n\n\n\n\n\nGod takes no pleasure in the death of anyone. God does not want anyone to perish. He doesn't want anyone to die. He wants people to repent and live. God is saying that He is not going to stand back and watch as people perish. He's going to do something about it.\n\n\n\n\n\nGod says in Ezekiel 33:13-16, "Turn! Turn from your evil ways! Why will you die, people of Israel? I have no pleasure in the death of the wicked, but rather that they turn from their ways and live. Do you think I take pleasure in the death of the wicked? declares the Sovereign Lord. Rather, am I not pleased when they turn from their ways and live? Don't presume that you can say to yourselves]" time="0.722"><properties><property name="score" value="0.023843911000000002" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Working with an example - rotating through an array\n\nFor a number of years, I've been fascinated by the idea of writing code that can rotate through an array. Let's say I have the following array of numbers:\n\nvar myNumbers = [ 1, 2, 3, 4, 5 ];\n\nThe following snippet of code would display the same numbers in reverse order:\n\nfor ( var i = myNumbers.length - 1; i >= 0; i-- ) { console.log( myNumbers[i] ); }\n\nWhat's going on here?\n\nWe know that the index of an array can be used as a "pointer" to the location in memory that contains a particular item in an array. If the array myNumbers has five items, then myNumbers[0] , myNumbers[1] , myNumbers[2] , myNumbers[3] and myNumbers[4] will point to the values 1 , 2 , 3 , 4 and 5 respectively.\n\nIn the previous example, the code starts with the length of the array (5) and subtracts one from it. As we know that index 0 in an array contains the first item in the array, the previous code will execute the following steps:\n\nTake the length of the array (5) Subtract 1 (so we now have 4) Start at the index that contains the first item in the array (myNumbers[4] = 3) and run down the array until we reach the last item in the array (myNumbers[3] = 5)\n\nSo the above code will end up displaying the items in the array in reverse order, starting at index 4 and working backwards to index 0.\n\nAt this point, we have a good idea of how we can access the values in an array in a specific order, but how do we go the other way?\n\nIt would be great if we could simply use the same code as above, but add a "--" operator before the last number. That way, we could add a simple parameter to the code to control the range of numbers it will use.\n\nUnfortunately, we can't do that. While JavaScript will happily work with -- , it will also happily take -- in code and convert it to -1 , or the last number in an array. That's not going to do us any good, as we want the code to be flexible enough that we can work with a number that we specify as the range of numbers.\n\nSo let's look at a simple function that can give us the results we need.\n\nfunction rotate(numbers, direction, number) { numbers.reverse(); numbers.push(number); numbers.unshift(number); };\n\nThe rotate function above has three parameters, and will rotate the values in the numbers array.\n\nnumbers is the array we want to use.\n\ndirection is the parameter that allows us to choose whether we want the values to be rotated in the direction we specify. In this case, we've chosen direction to be either "right" or "left"\n\nnumber is the number we're using as the upper bound of the range that we want to use.\n\nLet's take a look at a simple example:\n\nvar numbers = [ 1, 2, 3, 4, 5 ]; rotate( numbers, "right" ); console.log( numbers ); //output: [ 1, 2, 3, 4, 5 ]\n\nAs we can see, the numbers array is simply rotated right by the number we specified. That's fine, but let's add in some code that we can use to control which numbers are displayed:\n\nvar numbers = [ 1, 2, 3, 4, 5 ]; rotate( numbers, "right", 1 ); console.log( numbers ); //output: [ 1, 4, 3, 5, 2 ]\n\nWe can see that we've rotated the numbers so that the first number in the array is now number 1 , and the next number in the array is 4 .\n\nWe've also specified that we want to rotate in a right-handed manner, by passing "right" as the second parameter. This means that we have access to the following rotation values:\n\nrotate( numbers, "left" ); rotate( numbers, "right" ); rotate( numbers, "right" ); rotate( numbers, "right" ); rotate( numbers, "left" );\n\nIf we try to access the rotate function with "left" as the parameter, we'll see the following output:\n\nvar numbers = [ 1, 2, 3, 4, 5 ]; rotate( numbers, "left" ); console.log( numbers ); //output: [ 4, 3, 5, 2, 1 ]\n\nNot quite what we wanted, right?\n\nWhat we want is to be able to take an array, specify the number of numbers we want to display, and be able to choose the direction of rotation.\n\nWe also want to ensure that the values we are displaying are always within the array's bounds, and we're using them correctly.\n\nThe good news is that it's not too difficult to do this. We simply need to know what we want the code to look like, and write the code to do what we want it to do.\n\nLet's take a look at some simple code to display the numbers in an array in a given direction:\n\nfunction rotateArray( numbers, direction, startAt ) { numbers.reverse(); numbers.push( startAt ); numbers.unshift( startAt ); };\n\nrotateArray function\n\nThis is the code we'll use to display the numbers in the numbers array in the direction we specify. We'll start with a simple parameter:\n\nstartAt is the number we're displaying. It can either be the first number in the array, or any number within the array.\n\nLet's take a look at the code again:\n\nfunction rotateArray( numbers, direction, startAt ) { numbers.reverse(); numbers.push( startAt ); numbers.unshift( startAt ); };\n\nUsing this simple function, we can take any number of numbers, and display them in the direction we want. Let's look at a quick example:\n\nvar numbers = [ 1, 2, 3, 4, 5 ]; rotateArray( numbers, "left", 3 ); console.log( numbers ); //output: [ 4, 3, 5, 2, 1 ]\n\nThis time, we've used "left" as the direction, and we've also used the parameter "3" as the startAt value. The result is that we now have the numbers displayed in the array starting at the number 3 .\n\nIf we use a number that isn't within the bounds of the array, we'll get the following result:\n\nvar numbers = [ 1, 2, 3, 4, 5 ]; rotateArray( numbers, "right", 3 ); console.log( numbers ); //output: [ 5, 2, 4, 1, 3 ]\n\nAs you can see, the direction we've specified is "right", and the value we've specified for startAt is 3 . Unfortunately, this value isn't within the bounds of the array, so the values in the array have been displayed starting from the last number in the array.\n\nLet's take a look at how we can use this code to work with a number that's outside the bounds of the array:\n\nvar numbers = [ 1, 2, 3, 4, 5 ]; rotateArray( numbers, "right", 6 ); console.log( numbers ); //output: [ 5, 2, 4, 1, 3 ]\n\nThis time, we've specified "right" as the direction, and a value of 6 as the startAt parameter. The result is that we now have the values displayed in the array starting at the number 6 .\n\nThis time, the result we want is displayed in the array, but there's a problem. We don't want the number 6 to be the start of the array. Instead, we want it to be the last number in the array.\n\nThe good news is that we can easily handle this by modifying the code slightly:\n\nfunction rotateArray( numbers, direction, startAt ) { numbers.reverse(); numbers.push( startAt ); numbers.unshift( startAt ); };\n\nUsing the simple rotation code above, we can now take any array, specify the number we want to display, and choose the direction we want to use. This means we can write some simple code that can work with any number, regardless of its position in the array.\n\nThe next step is to write some code that can ensure the number we specify as the startAt is in the range that we expect.\n\nLet's take a look at how we can do that:\n\nfunction rotateArray( numbers, direction, startAt ) { if( startAt >= numbers.length ) { throw new RangeError("Start at is outside of the]" time="0.659"><properties><property name="score" value="0.0009482333" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Contents\n\n1. The Meaning of Love\n\n2. Our Attitude Toward Others\n\n3. The Two Great Commandments\n\n4. Developing Love\n\n5. How to Help Others\n\n6. The Golden Rule\n\n7. The Commandments in the New Testament\n\n8. Tolerance\n\n\nCHAPTER 1\n\nThe Meaning of Love\n\nBefore we can love others, we must know the meaning of love. It is important to love God and obey Him and to have a right relationship with Him. But to have a right relationship with Him we must love Him. That means that we must have a good relationship with all His laws.\n\nOf course we can't keep all the commandments all the time. Yet we must have a good relationship with them. Otherwise we will not know what God is like.\n\nLove is based on God's law.\n\nRomans 13:10. The commandments, You shall not commit adultery, You shall not steal, You shall not bear false witness, You shall not covet; and any other commandment, are summed up in this word, You shall love your neighbor as yourself.\n\nGalatians 5:14. For all the law is fulfilled in one word, even in this: You shall love your neighbor as yourself.\n\nLove is based on God's law. We should study God's commandments and know the laws He has given us. Then we will know how to have a good relationship with Him.\n\nOne reason we are to love God and obey Him is that it is important to have a good relationship with God. We need to know how much God loves us. Without knowing this we cannot have a right relationship with God. We need to have a good relationship with Him so we can be happy and serve Him better.\n\nLet us understand what love is.\n\n1 John 4:8,9. He who does not love does not know God, for God is love. In this the love of God was manifested toward us, that God has sent His only begotten Son into the world, that we might live through Him.\n\nIn these verses John explained that love is the opposite of lawlessness. Love is the opposite of murder, hatred, malice, evil, adultery, stealing, lying, and a lot of other bad things.\n\nRomans 13:8-10. Owe no man anything, but to love one another: for he that loves another has fulfilled the law. For this, You shall not commit adultery, You shall not kill, You shall not steal, You shall not covet, and if there be any other commandment, it is briefly comprehended in this saying, namely, You shall love your neighbor as yourself. Love does no harm to a neighbor; therefore love is the fulfillment of the law.\n\nWe learn from this that the opposite of love is lawlessness. The opposite of love is murder, hatred, envy, malice, evil, and all the other things mentioned in these verses.\n\nVerse 10 says, "Love does no harm to a neighbor." In other words, love is a good thing. It is a good thing to have a good relationship with God.\n\nRomans 13:8 says, "Love does no harm to a neighbor." Love helps and blesses others.\n\nLove is a good thing. The reason love is a good thing is because God is love.\n\n1 John 4:16. And we have known and believed the love that God has for us. God is love; and he who abides in love abides in God, and God in him.\n\nGod is love.\n\n1 John 4:7-11. Beloved, let us love one another: for love is of God; and every one that loves is born of God, and knows God. He that loves not knows not God; for God is love. In this was manifested the love of God toward us, because that God sent his only begotten Son into the world, that we might live through him. Herein is love, not that we loved God, but that he loved us, and sent his Son to be the propitiation for our sins. Beloved, if God so loved us, we ought also to love one another. No man has seen God at any time. The only begotten Son, which is in the bosom of the Father, he has declared him.\n\nVerse 8 says, "God is love." God's name is Love.\n\nGod's name is Love.\n\nJohn 4:8. \u2026 the well was deep; and I said, "How shall I get down?"\n\nAnd he said, "Come, and I will show you."\n\n9. And he said, "Draw you [a] little water out of the well, and \u2026 drink."\n\n10. And I said, "Sir, give me [a] little to drink."\n\n11. And he said, "Drink, my [b] son, and \u2026 your eyes shall be opened."\n\n12. And I drank, and it was as if I had had new vision given to me; for I could see [c] through those walls of water.\n\n13. And he said to me, "Go [a] down, for the water is [b] yet a little way below the earth. \u2026\n\n15. \u2026 This water is [c] that which I said \u2026 will make you come up hither."\n\n16. And as he spoke, I drank; and I was [d] inebriated, and my eyes were opened; and I was able to see. \u2026\n\n19. \u2026 "Come," he said, "follow me \u2026 and I will give you \u2026 rest."\n\nGod is the God of rest.\n\n1 Thessalonians 4:9. \u2026 God has not appointed us to wrath, but to obtain salvation by our Lord Jesus Christ.\n\nGod is our salvation. God is our rest. God is our peace.\n\nGod is our rest.\n\n1 Peter 2:6. \u2026 you may be \u2026 a kind of first-fruits of his creatures.\n\nGod is our first fruits.\n\n2 Timothy 2:13. If we are faithless, he remains faithful; for he cannot deny himself.\n\nGod is faithful.\n\nGod is the God of rest.\n\nGod is our salvation.\n\nGod is our peace.\n\nGod is our rest.\n\nHebrews 4:10-13. For he who has entered His rest has himself also ceased from his own works, as God did from His. Let us therefore be diligent to enter that rest \u2026\n\n12. \u2026 For the word of God is living and active, and sharper than any two-edged sword, and piercing even to the division of soul and spirit, and of joints and marrow, and is a discerner of the thoughts and intents of the heart.\n\n13. \u2026 neither is there any creature that is not manifest in his sight; but all things are naked and opened to the eyes of him with whom we have to do.\n\nGod is a discerner of the thoughts and intents of the heart.\n\nGod sees everything.\n\nGod sees everything.\n\n1 John 4:8,9. He who does not love does not know God, for God is love. In this the love of God was manifested toward us, that God has sent His only begotten Son into the world, that we might live through Him.\n\nGod is love.\n\n1 John 3:16,18. Hereby perceive we the love of God, because he laid down his life for us: and we ought to lay down our lives for the brethren.\n\n19. But whoso has this world's goods, and sees his brother in need, and shuts up his heart from him, how does the love of God abide in him?\n\nGod is love.\n\nGod is our rest.\n\nGod is our salvation.\n\nGod is our peace.\n\nGod is a discerner of the thoughts and intents of the heart.\n\nGod is love.\n\nGod is our rest.\n\nGod is our salvation.\n\nGod is our peace.\n\nGod is a discerner of the thoughts and intents of the heart.\n\nThe Bible says that God is love.\n\nWe can study love.\n\n1 John 4:7-11. Beloved, let us love one another: for love is of God; and every one that loves is born of God, and knows God. He that loves not knows not God; for God is love. In this was manifested the love of God toward us, because that God sent his only begotten Son into the world, that we might live through him. Herein is love, not that we loved God, but that he loved us, and sent his Son to be the propitiation for our sins. Beloved, if God so loved us, we ought also to love one another. No man has seen God at any time. The only begotten Son, which is in the bosom of the Father, he has declared him.\n\nVerse 11 says, "Herein is love, not that we loved God, but that he loved us." The opposite of love is lawlessness. But the opposite of love is not lawlessness. The opposite of love is law.\n\nLoving God and obeying Him is loving Him.\n\nThe Bible says that God is love.\n\nLoving God and obeying Him is loving Him.\n\nLoving God and obeying Him is loving God.\n\nJohn 14:21. He that has my commandments,]" time="0.721"><properties><property name="score" value="0.086402328" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Interviews\n\nInterview with Ariel Efraim (Soilwork)\n\nInterview with Steven Rosen (August Burns Red)\n\nInterview with Brent Hinds (Mastodon)\n\nInterview with Paul Kuhr (I See Stars)\n\nInterview with Christian Antidormi (Hatebreed)\n\nInterview with Jack Syperek (Structures)\n\nInterview with Ben Gordon (The Treatment)\n\nInterview with Doc Coyle (God Forbid)\n\nInterview with Chris Barnes (Six Feet Under)\n\nInterview with Mike D (The Sword)\n\nInterview with Russ Rankin (The Slackers)\n\nInterview with Claudio Sanchez (Coheed and Cambria)\n\nInterview with Udo Dirkschneider (Accept)\n\nInterview with Ben Weinman (Dillinger Escape Plan)\n\nInterview with Matt Pike (High On Fire)\n\nInterview with Joe Duplantier (Gojira)\n\nInterview with Johannes Eckerstr\xf6m (Evergrey)\n\nInterview with Pete Loose (Reel Big Fish)\n\nInterview with Pete Wentz (Fall Out Boy)\n\nInterview with Daniel Svensson (Raubtier)\n\nInterview with Chino Moreno (Deftones)\n\nInterview with Pierre Bouvier (Simple Plan)\n\nInterview with Jon Egan (The Ghost Of A Thousand)\n\nInterview with Mike D (Lack Of Afro)\n\nInterview with Michael Crafter (Sevendust)\n\nInterview with Charlie Benante (Anthrax)\n\nInterview with Rob Caggiano (Volbeat)\n\nInterview with Ronnie Atkins (Pretty Maids)\n\nInterview with Gee Anzalone (Exhorder)\n\nInterview with Micky Shirley (Five Finger Death Punch)\n\nInterview with Oderus Urungus (GWAR)\n\nInterview with Ryan Downey (Texas Hippie Coalition)\n\nInterview with Chris Chasse (Unearth)\n\nInterview with Lee Altus (Suffocation)\n\nInterview with Roy Mayorga (Soulfly)\n\nInterview with Gus G (Firewind)\n\nInterview with Paul Allender (In Flames)\n\nInterview with Francesco Artusato (All Shall Perish)\n\nInterview with Rody Walker (Pyogenesis)\n\nInterview with Mike Dean (Slipknot)\n\nInterview with Angela Gossow (Arch Enemy)\n\nInterview with Trevor Strnad (The Black Dahlia Murder)\n\nInterview with Mike Peters (The Alarm)\n\nInterview with Jonas Ekdahl (Freak Kitchen)\n\nInterview with Dave Ellefson (Megadeth)\n\nInterview with Corey Taylor (Slipknot)\n\nInterview with Keith Buckley (Every Time I Die)\n\nInterview with Jack Frost (Kill Devil Hill)\n\nInterview with Josh Rand (Temple of Brutality)\n\nInterview with Michael Amott (Arch Enemy)\n\nInterview with Scott Gorham (Thin Lizzy)\n\nInterview with Matt Heafy (Trivium)\n\nInterview with Joe Kresge (Unearth)\n\nInterview with Randy Blythe (Lamb of God)\n\nInterview with Benji Webbe (Dimmu Borgir)\n\nInterview with Max Cavalera (Soulfly)\n\nInterview with John Bush (Armored Saint)\n\nInterview with Davey Muise (Exhorder)\n\nInterview with Stephen Carpenter (Deftones)\n\nInterview with Dani Filth (Cradle Of Filth)\n\nInterview with Leif Cuzner (Darkane)\n\nInterview with George \u201cCorspegrinder\u201d Fisher (Cannibal Corpse)\n\nInterview with Steve Asheim (Hatebreed)\n\nInterview with Bobby Blitz Ellsworth (Overkill)\n\nInterview with Adam Dutkiewicz (Killswitch Engage)\n\nInterview with Mick Murphy (Exhumed)\n\nInterview with Doug Pinnick (King\u2019s X)\n\nInterview with Alexi Laiho (Children Of Bodom)\n\nInterview with M. Shadows (Avenged Sevenfold)\n\nInterview with Alex Holzwarth (Rhapsody Of Fire)\n\nInterview with Carlos Cruz (Soulfly)\n\nInterview with Glenn Hughes (Deep Purple/Black Country Communion)\n\nInterview with Oliver Palotai (Kamelot)\n\nInterview with Meegs Rascon (The Mars Volta)\n\nInterview with Joakim Brod\xe9n (Sabaton)\n\nInterview with Tim \u201cRipper\u201d Owens (Iced Earth/Yngwie Malmsteen)\n\nInterview with Matt Heafy (Trivium)\n\nInterview with Warrel Dane (Nevermore)\n\nInterview with Zach Myers (Shinedown)\n\nInterview with Michael Poulsen (Volbeat)\n\nInterview with Michael Amott (Arch Enemy)\n\nInterview with Mat Sinner (Primal Fear)\n\nInterview with Bj\xf6rn \u201cSpeed\u201d Strid (Soilwork)\n\nInterview with Matt Heafy (Trivium)\n\nInterview with Rob Flynn (Machine Head)\n\nInterview with Serj Tankian (System Of A Down)\n\nInterview with Ville Valo (HIM)\n\nInterview with Jimmy DeGrasso (Megadeth)\n\nInterview with Joey Jordison (Slipknot)\n\nInterview with Chris Jericho (Fozzy/Fozzy Osbourne)\n\nInterview with Jon Donais (Shadows Fall)\n\nInterview with Jason Hook (Five Finger Death Punch)\n\nInterview with Steve Mazur (Grave Digger)\n\nInterview with Bj\xf6rn \u201cSpeed\u201d Strid (Soilwork)\n\nInterview with Sonny Sandoval (P.O.D.)\n\nInterview with Serj Tankian (System Of A Down)\n\nInterview with Fredrik Thordendal (Meshuggah)\n\nInterview with Wes Borland (Limp Bizkit)\n\nInterview with Alexi Laiho (Children Of Bodom)\n\nInterview with Blaze Bayley (Iron Maiden)\n\nInterview with Mark Hunter (Chimaira)\n\nInterview with Max Cavalera (Soulfly/Sepultura)\n\nInterview with Dave Lombardo (Slayer)\n\nInterview with Bruce Dickinson (Iron Maiden)\n\nInterview with Morgan Lander (Fear Factory)\n\nInterview with Oliver Palotai (Kamelot)\n\nInterview with James Hetfield (Metallica)\n\nInterview with Al Jourgensen (Ministry)\n\nInterview with Corey Taylor (Stone Sour/Slipknot)\n\nInterview with Alex Skolnick (Testament)\n\nInterview with Charlie Benante (Anthrax)\n\nInterview with Chris Reifert (Autopsy)\n\nInterview with Lajon Witherspoon (Sevendust)\n\nInterview with Jason McMaster (Grave Robber)\n\nInterview with Jon Howard (Light The Torch)\n\nInterview with Neil Fallon (Clutch)\n\nInterview with Dino Cazares (Fear Factory)\n\nInterview with Oderus Urungus (GWAR)\n\nInterview with Rex Brown (Pantera)\n\nInterview with Dave Lombardo (Slayer)\n\nInterview with Serj Tankian (System Of A Down)\n\nInterview with John Moyer (Disturbed)\n\nInterview with Mike Portnoy (Adrenaline Mob)\n\nInterview with King Diamond\n\nInterview with Trevor Strnad (The Black Dahlia Murder)\n\nInterview with Mikael \xc5kerfeldt (Opeth)\n\nInterview with Scott Ian (Anthrax)\n\nInterview with Paul Gray (Slipknot)\n\nInterview with Casey Chaos (Amen)\n\nInterview with Opeth\u2019s Mikael \xc5kerfeldt\n\nInterview with Mark Morton (Lamb Of God)\n\nInterview with Shawn Drover (Megadeth)\n\nInterview with Chino Moreno (Deftones)\n\nInterview with Serj Tankian (System Of A Down)\n\nInterview with Bruce Corbitt (Corrosion Of Conformity)\n\nInterview with Ray Alder (Fates Warning)\n\nInterview with Rob \u201cBlasko\u201d Nicholson (Ozzy Osbourne)\n\nInterview with Tom Araya (Slayer)\n\nInterview with Max Cavalera (Soulfly)\n\nInterview with Ryan Martinie (Cynic)\n\nInterview with Max Cavalera (Soulfly)\n\nInterview with Jason Newsted (Voivod)\n\nInterview with Mick Murphy (Exhumed)\n\nInterview with Lars Frederiksen (Rancid)\n\nInterview with Mike Muir (Suicidal Tendencies)\n\nInterview with Dave Mustaine (Megadeth)\n\nInterview with Neil Fallon (Clutch)\n\nInterview with Bruce Dickinson (Iron Maiden)\n\nInterview with Maynard James Keenan (Tool)\n\nInterview with Mike \u201cRat\u201d Ratner (S.O.D.)\n\nInterview with Max Cavalera (Soulfly)\n\nInterview with Tom Araya (Slayer)\n\nInterview with Chuck Billy (Testament)\n\nInterview with Tom Araya (Slayer)\n\nInterview with Phil Anselmo (Down)\n\nInterview with King Diamond\n\nInterview with Corey Taylor (Stone Sour/Slipknot)\n\nInterview with Dave Mustaine (Megadeth)\n\nInterview with Lars Ulrich (Metallica)\n\nInterview with Jerry Cantrell]" time="0.588"><properties><property name="score" value="0.0438856735" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.04388567 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.04388567
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|
assert 'Human' == 'AI'
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- AI
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+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Apple\u2019s ResearchKit is off to a good start, but there\u2019s plenty of work to be done.\n\n\n\nResearchKit was launched in March as a way for Apple\u2019s developers to easily tap into medical data from the iPhone to help researchers track and collect information about a variety of health conditions. Since its debut, there have been nearly 2,000 registered medical researchers, while more than 40 institutions have launched clinical studies through the app platform.\n\n\n\nBut there are several hurdles for Apple and its partners. On Wednesday, Dr. Harvey Fineberg, president of the Institute of Medicine, will join at a panel discussion at Mount Sinai Hospital in New York to examine what works and what\u2019s missing in the fast-evolving field of mobile health.\n\n\n\nThe session, titled \u201cWhat Are the Future Directions for ResearchKit?\u201d comes after a first wave of successful projects on ResearchKit, including apps that help people manage diabetes, heart disease and asthma.\n\n\n\nThere are also some examples of the problems Apple is facing as it tries to get more partners to adopt the tool. Earlier this month, a major player in the diabetes community said it would not be taking part in the app\u2019s data collection. The Juvenile Diabetes Research Foundation said in a statement that its members were not interested in the iPhone platform and \u201cwould prefer to conduct research studies using our own patient data that is gathered on an Android platform.\u201d\n\n\n\nThat\u2019s likely an expensive prospect for the organization, given the popularity of iPhones in the United States. As of last year, Android devices accounted for just over half of all U.S. smartphone subscribers, while iOS devices made up around 41 percent. That\u2019s according to the Pew Research Center, which estimated last year that there were 121 million iPhone users in the United States.\n\n\n\nThe success of Apple\u2019s platform will hinge in part on how it handles data privacy and security concerns. Apple had to clear some hurdles in the early days of ResearchKit because many people were concerned about privacy when they heard it would rely on data from Apple\u2019s servers. Apple has since taken several steps to make it clear that the data is anonymous and that people can opt out of data collection.\n\n\n\nThe app program could also be a major part of the iPhone\u2019s future if it takes off. It could help it better compete against the likes of Google, which is also hoping to get in on the health data space with a new Android product called Android Wear.\n\n\n\nThe first public version of ResearchKit will be unveiled on Wednesday, the panel will also include representatives from Mount Sinai and Pfizer.\n\n\n\nThat event will be at 11:30 a.m. EDT in New York City, and it will be livestreamed on Fortune\u2019s website.]" time="0.301"><properties><property name="score" value="0.0012089905" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00120899 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00120899
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assert 'Human' == 'AI'
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- AI
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+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Get the biggest daily news stories by email Subscribe Thank you for subscribing We have more newsletters Show me See our privacy notice Could not subscribe, try again later Invalid Email\n\nAs the Queen's cousin, Lady Amelia Windsor is more used to socialising with the royal family than you or I.\n\nBut even for her, it seems the sight of seeing Kate Middleton and Prince William in attendance at Pippa Middleton's wedding - as well as the newlyweds' own big day - was enough to make her feel "uncomfortable".\n\nSpeaking at the wedding of one of her friend's brothers in Kent, the 28-year-old spoke about how it made her feel to have them there, reports the Daily Mail .\n\nShe said: "Well I think it is a beautiful wedding, obviously, because it's Pippa and James.\n\n"I've never been to a wedding before, so I don't know really what it should be like. But I do find it quite uncomfortable seeing them."\n\nThe Royal family came together to celebrate the wedding of Kate's sister to hedge fund manager James Matthews in the Berkshire village of Englefield.\n\n(Image: Getty Images Europe)\n\n(Image: PA)\n\n(Image: PA)\n\nAnd while Pippa and James' wedding was a private affair with just 200 guests, they were still surrounded by some royals as well as other notable names.\n\nLady Amelia's father is the Queen's first cousin, so it was no surprise to see the Queen herself attend the wedding, alongside Prince Harry and Duchess Meghan.\n\nThe Princesses Beatrice and Eugenie were also there, as well as Kate's sister, Pippa's brother James Middleton, David and Victoria Beckham and Sir Elton John.\n\nLady Amelia revealed that she even had a few words with Harry and Meghan, with the former asking her how she felt about her cousin's big day.\n\nShe said: "I had a little conversation with Harry and Meghan, and they said how lovely the wedding was. I said 'yes, but I don't feel very comfortable seeing you all here' and Harry said, 'Oh well, you're used to it'.\n\n(Image: PA)\n\n(Image: PA)\n\n"I said, 'Yes, but it is still very strange to see you here'. I suppose you can't blame me, I am a bit naive. But the whole thing was really lovely."\n\nShe added: "I mean, James is my cousin, I grew up with him and I love him dearly, so it was really lovely to see him. It was a lovely wedding, they are such a lovely couple. I am so pleased they are so happy."\n\n(Image: Getty Images Europe)\n\n(Image: Getty Images Europe)\n\nAnd as for what she thought of her father's outfit - which caused much comment among fans - she admitted she wasn't sure.\n\nShe said: "Well, he always wears an odd choice of clothes, but that is what he likes. It wasn't bad, I mean he didn't look like a big prawn."\n\nShe added: "It was lovely to see him happy."]" time="0.277"><properties><property name="score" value="0.4662261" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.4662261 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.4662261
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assert 'Human' == 'AI'
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- AI
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|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Dewalt DW3200 review, there are few tools that are as versatile as this one. You may have a thousand bucks of cordless tools, but there\u2019s nothing that will do as much as this one will do. As you might have noticed, the construction of this unit is incredibly sturdy, so that you don\u2019t have to worry about it breaking when you use it. Also, it is a bit heavy, and it will take a while to get used to using it, especially if you have not used any other heavy drills.\n\nPower\n\nWe also tested the power of this Dewalt DW3200 and we must say that it is very impressive. It delivers 3,300 RPM, which is more than enough to bore holes and drill in all kinds of materials. It can easily penetrate into wood, brick, or concrete and it can bore holes up to two inches. The trigger lock mechanism also works well, which makes this drill safer to use.\n\nCordless or corded?\n\nIt is important to remember that this drill can work either as a corded or a cordless unit, and this is very important for you to know. This Dewalt DW3200 uses the 20 volt lithium-ion batteries and they can last longer than you might expect. They are also very light and durable, so you will be able to use them for a long time. There are four batteries included in the kit, and they can last for a long time. You can also get a second battery if you want to have more freedom, and this will make the drill work for a much longer time.\n\nExtra Features\n\nYou may also like the extra features included in this Dewalt DW3200. There is the light that will make the job easier, and there are also other important features, like the variable speed. This is also a very durable drill, so it will last for a very long time. Also, the build quality is fantastic, so you don\u2019t have to worry about it breaking easily.\n\nOverall\n\nIf you have a lot of different drilling needs, this is the drill for you. This drill is perfect for the casual user, but it can also be used by professionals. It is also very durable, so you can use it for a very long time, and you will get the most for your money. You should also remember that this drill is very powerful, and it can work for a long time, without breaking down.\n\nIf you want to see what more we have, you can visit Amazon.com and check all of the available drills. You can also check our article on the best reciprocating saw, to see what the best product in this category is. Also, don\u2019t forget to like and share this article, if you liked it.]" time="0.279"><properties><property name="score" value="0.03911174" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[LAS VEGAS, NV - JANUARY 07: Recording artist Demi Lovato performs onstage during the 2017 DIRECTV NOW Super Saturday Night Concert at Park Theater at Park MGM on January 7, 2017 in Las Vegas, Nevada. (Photo by Kevin Winter/Getty Images for DIRECTV) (Photo: Kevin Winter, 2017 Getty Images)\n\nLAS VEGAS - Former Disney star Demi Lovato will release a new single from her sixth studio album on June 15th.\n\nThat's according to a video of Lovato, 26, posted on the YouTube channel of Las Vegas radio station KVEG.\n\nThe new album is the follow-up to 2015's "Confident," which features the top 10 hits "Cool for the Summer" and "Confident."\n\nMore: Everything you need to know about this year's 2017 Route 91 Harvest festival\n\nMore: Demi Lovato set for national tour with DJ Khaled\n\nMore: Demi Lovato re-engages with ex-boyfriend Wilmer Valderrama, so could there be more?\n\nThe pop singer also revealed she is launching a partnership with American Airlines to celebrate Hispanic Heritage Month, and she plans to go on a national tour with DJ Khaled.\n\nDemi Lovato to Release New Single, Announce Album Title on June 15th https://t.co/OBkKbXWySZ \u2014 Pop Crave (@PopCrave) June 1, 2017\n\nRead or Share this story: https://usat.ly/2rVY4mA]" time="0.292"><properties><property name="score" value="0.0016723684" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00167237 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00167237
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|
assert 'Human' == 'AI'
|
|
- AI
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|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[RACISM IN BRITAIN HAS BECOME SO entrenched that it is becoming a bigger problem than it was at the time of the Birmingham pub bombings, when the threat of violent nationalism in the late 1970s prompted the first official inquiry into racial attacks, according to a report published today by the Equality and Human Rights Commission (EHRC).\n\nThe report, We\u2019re still struggling: the legacy of the Stephen Lawrence inquiry, says that despite years of measures to increase the representation of ethnic minorities in public life and protect them from discrimination, they are still \u201con the receiving end of racism\u201d, with black people twice as likely to suffer police stop and search tactics as whites.\n\nFigures from the Crown Prosecution Service (CPS) show that more than 40 per cent of cases involving charges of racially aggravated harassment are dropped, with charges reduced to more minor ones, or not pursued. The EHRC report cites figures showing that more than half of black and Asian people report experiencing discrimination when looking for a job.\n\nIn October, the Telegraph reported how]" time="0.274"><properties><property name="score" value="0.011899202" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.0118992 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.0118992
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|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[# This Source Code Form is subject to the terms of the Mozilla Public\n\n# License, v. 2.0. If a copy of the MPL was not distributed with this\n\n# file, You can obtain one at http://mozilla.org/MPL/2.0/.\n\n# The following comment must be at the start of a new line.\n\n#\n\n#\n\n# The contents of this file are subject to the Mozilla Public\n\n# License Version 1.1 (the "License"); you may not use this file\n\n# except in compliance with the License. You may obtain a copy of\n\n# the License at http://www.mozilla.org/MPL/\n\n# Software distributed under the License is distributed on an "AS\n\n# IS" basis, WITHOUT WARRANTY OF ANY KIND, either express or implied.\n\n# See the License for the specific language governing rights and\n\n# limitations under the License.\n\n# The Original Code is Mozilla Communicator client code, released\n\n# March 31, 1998.\n\n# The Initial Developer of the Original Code is\n\n# Netscape Communications Corporation.\n\n# Portions created by the Initial Developer are Copyright (C) 1998\n\n# the Initial Developer. All Rights Reserved.\n\n# Contributor(s):\n\n#\n\n# Alternatively, the contents of this file may be used under the terms of\n\n# either of the GNU General Public License Version 2 or later (the "GPL"),\n\n# or the GNU Lesser General Public License Version 2.1 or later (the "LGPL"),\n\n# in which case the provisions of the GPL or the LGPL are applicable instead\n\n# of those above. If you wish to allow use of your version of this file only\n\n# under the terms of either the GPL or the LGPL, and not to allow others to\n\n# use your version of this file under the terms of the MPL, indicate your\n\n# decision by deleting the provisions above and replace them with the notice\n\n# and other provisions required by the GPL or the LGPL. If you do not delete\n\n# the provisions above, a recipient may use your version of this file under\n\n# the terms of any one of the MPL, the GPL or the LGPL.\n\n#\n\n# ***** END LICENSE BLOCK *****\n\nMOCHITEST_MANIFESTS += [\n\n' xpcshell.ini ' ,\n\n' mochitest-glue.ini ' ,\n\n' mochitest-plain.ini ' ,\n\n]\n\nDIST_DIRS += [\n\n' external/ ' ,\n\n' ipc/ ' ,\n\n' modules/ ' ,\n\n]\n\nEXTRA_COMPONENTS += [\n\n' mozLoop.js ' ,\n\n' webextensions.js ' ,\n\n]\n\ndeps = [\n\n'../base ' ,\n\n'../browser/base ' ,\n\n'../browser/components/migration ' ,\n\n'../browser/components/places ' ,\n\n'../browser/themes/shared ' ,\n\n'../content/base ' ,\n\n'../content/html ' ,\n\n'../content/xul ' ,\n\n'../embedding/browser ' ,\n\n'../embedding/components/browser ' ,\n\n'../embedding/components/toolkit ' ,\n\n'../extensions/browser/api ' ,\n\n'../extensions/common/moz.build ' ,\n\n'../gfx/2d ' ,\n\n'../gfx/layers ' ,\n\n'../intl ' ,\n\n'../netwerk ' ,\n\n'../printing ' ,\n\n'../services/sync ' ,\n\n'../toolkit/components/global ' ,\n\n'../toolkit/components/printing ' ,\n\n'../toolkit/components/satchel ' ,\n\n'../toolkit/crashreporter ' ,\n\n'../toolkit/library ' ,\n\n'../toolkit/mozapps/extensions ' ,\n\n'../toolkit/mozapps/extensions/extensions-types.js ' ,\n\n'../xpcom/base ' ,\n\n'../xpcom/build ' ,\n\n'../xpcom/build/shared-nspr ' ,\n\n'../xpcom/build/shared-nspr/src ' ,\n\n'../xpcom/ds ' ,\n\n'../xpcom/ds/io ' ,\n\n'../xpcom/ds/xpcom ' ,\n\n'../xpcom/glue ' ,\n\n'../xpcom/io ' ,\n\n'../xpcom/threads ' ,\n\n'../xpcom/threads/src ' ,\n\n'../xpcom/threads/xpcom ' ,\n\n' ../xpfe/appshell/nsAppShell.cpp ' ,\n\n' ../xpfe/appshell/nsAppShell.h ' ,\n\n' ../xpfe/appshell/nsAppsShellService.cpp ' ,\n\n' ../xpfe/appshell/nsAppsShellService.h ' ,\n\n' ../xpfe/appshell/nsNativeAppSupportWin.cpp ' ,\n\n' ../xpfe/appshell/nsNativeAppSupportWin.h ' ,\n\n' ../xpfe/appshell/nsNativeAppSupportXPConnect.cpp ' ,\n\n' ../xpfe/appshell/nsNativeAppSupportXPConnect.h ' ,\n\n' ../xpfe/appshell/nsWindowRoot.cpp ' ,\n\n' ../xpfe/appshell/nsWindowRoot.h ' ,\n\n' ../xpfe/appshell/nsXULAppAPI.h ' ,]" time="0.315"><properties><property name="score" value="0.0026306708" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[The world of professional wrestling is always changing, but the superstars themselves can sometimes get lost in the shuffle. Sometimes, the changes within the industry are so drastic that a superstar's popularity can get left in the past. WWE's superstars who were the best during their career, but are rarely talked about anymore.\n\nWWE is still the leader of the wrestling world. The company is no stranger to using the Attitude Era as a way to sell itself. They have had so many superstars through the years that they should make up their own Hall of Fame. Some of those superstars are the ones who are mentioned the most.\n\nThe casual fan knows about Hulk Hogan, Stone Cold, and The Rock. That is what makes this so fun. Everyone wants to see these greats become legends of the industry, but it is also nice to remember the stars who used to be a big deal. Whether they were a big deal in WWE or not, they are still worth remembering.\n\nContinue scrolling to keep reading Click the button below to start this article in quick view Share Tweet Email Copy Link Copied\n\n10 Sin Cara\n\nvia trbimg.com\n\nSin Cara has become a joke of a superstar. It has been a series of unfortunate events that have taken him from being a major star to a sideshow that should be in the pre-show, not a main event. When Sin Cara debuted, he was seen as a major star that was going to be used a lot. It took some time, but it finally happened.\n\nThe problem was that he never delivered.\n\nHe was so unimpressive that he was booted from WWE in 2016. He is making an appearance at WrestleMania 33. For his sake, it would be best if he kept quiet and didn't interact with the crowd.\n\n9 Kelly Kelly\n\nvia tumblr.com\n\nKelly Kelly was a fan favorite during her time in WWE. She made her debut as a popular model who was wrestling on ECW. From there, she rose to the top as a valuable part of the roster. Kelly became a popular figure who had her own dedicated fans. She had the right amount of talent to be a decent worker, but it was her good looks that gave her the extra push.\n\nAfter leaving WWE in 2012, Kelly kept wrestling. She is back on the roster with TNA, but she has not appeared on a television episode of Impact Wrestling since December of 2015.\n\n8 Alberto Del Rio\n\nvia wrestlingrumors.net\n\nIt is a sad truth that Alberto Del Rio has fallen from his former position in the industry. He was a very big part of WWE. He was not only the United States Champion, but also a World Champion. Alberto had a unique presence as a superstar that could do things no one else could do. He also had the microphone skills to back up his moves.\n\nHis tenure in WWE was marred with incidents that made it clear he was not going to be there much longer. His time in Lucha Underground was more memorable, but it was a step down from what he used to be.\n\n7 The Great Khali\n\nvia cagesideseats.com\n\nThe Great Khali is not really a superstar that anyone really misses. His presence was laughable at times. The thing about Khali is that he had a lot of potential. He was very big and very strong, but he never seemed to have any clue about how to use those traits to his advantage.\n\nKhali is now an actor and a former wrestler. He is part of the reality show Khali Kisses, which involves him doing a lot of kisses on people. It is a far cry from his WWE days.\n\n6 Kelly Kelly's Boyfriend\n\nvia youtube.com\n\nWrestlers who are lucky enough to find a wife have a much easier time in the wrestling industry. The same could not be said for Mike Knox. He was only a superstar for a very short time, and he was a part of one of the most bizarre moments in wrestling history when he got the Attitude Adjustment from Kane. Knox is not talked about much these days, but there was a time when people were curious about him.\n\nHe married the popular WWE superstar Kelly Kelly. The couple got married in 2014. It was a marriage that was not meant to last, as the couple divorced in 2016.\n\n5 Santino Marella\n\nvia ringsidenews.com\n\nSantino Marella will forever be a part of WWE. The WWE Hall of Fame is home to some great wrestlers and some very bad wrestlers. Santino is among those who have made an impression for one reason or another. His career with the company was not as successful as he had hoped, but he made a huge impact. He was the guy who was hilarious because he was so bad.\n\nSantino's last match was in 2014. He has done some backstage work, but the star has pretty much disappeared from WWE.\n\n4 Tyson Kidd\n\nvia heavy.com\n\nTyson Kidd was a true performer in WWE. He had a unique look, and he could really do it all. The man was skilled on the mic, in the ring, and he had a good personality. Everything came together for Tyson, but that would all change during an unfortunate injury. Tyson was a mid-carder who could have risen to a top level, but that was not meant to be.\n\nKidd is now recovering from his neck injury. He is still hoping to get into the ring again, but it is looking unlikely.\n\n3 Christian\n\nvia bodybuilding.com\n\nChristian is not a name that is being mentioned much these days. It is a shame, as he is one of the best performers of his time. Christian has made a career of being known for his impressive in-ring work and his ability to entertain fans. Christian was a popular superstar during his time in WWE and he did some good things for TNA.\n\nChristian has not been in the ring since December of 2015. He is trying to get back into the ring, but there is a possibility that his neck injury may have ended his career.\n\n2 Dolph Ziggler\n\nvia wrestlingnewssource.com\n\nDolph Ziggler had the chance to become a very big star in WWE. Unfortunately, things have not been going well for Ziggler. He was once a main eventer, but he has fallen to the bottom of the card. He is one of the many guys who will be pushed as the underdog who is going to have the moment of their life.\n\nZiggler has not been the focus of WWE. It is likely that he will be entering a new chapter of his career in the near future. The most likely place would be in Ring of Honor, but WWE has shown a lot of interest in Ziggler.\n\n1 Wade Barrett\n\nvia wrestlingrumors.net\n\nIt is going to be very hard for the casual fan to remember Wade Barrett. He had a short run in WWE, but he did his part as a mid-carder. Barrett is a former Intercontinental Champion. He did well in WWE as a member of The Nexus, but his star power never quite took off.\n\nBarrett has been out of WWE since 2014. He has had some ups and downs in the independent circuit, but his career has largely gone downhill. It is possible that he could get another chance with WWE. That would probably be the only way that fans would get to see him again.\n\nBarrett has been trying to make a name for himself in the business world. He launched a website last year. It is not likely that he will become a success, but it is nice to see him try to make something of his life.]" time="0.615"><properties><property name="score" value="0.6548439269999999" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[The brother-in-law of the Palestinian-American teenager who was filmed being brutally beaten by Israeli police at a West Bank checkpoint says the incident \u201chas put a wedge\u201d between the Palestinians and Israelis.\n\nYoussef Almogy said he has had more than 50 phone calls from news media outlets following the brutal arrest of 16-year-old Tariq Abu Khdeir, the Associated Press reported.\n\n\u201cWhen I saw it, I cried,\u201d Almogy said. \u201cI was so shocked, but after that, I started thinking about my brother, who was jailed for 11 years, and then released for nothing. And I said, \u2018If they can do that to him, then imagine what they can do to us.\u2019\u201d\n\n\u201cAnd this has put a wedge between Palestinians and Israelis,\u201d he added.\n\nAlmogy was referring to the arrest of his brother, Amer, who was jailed for 11 years after he and a group of Palestinians tried to rob a Tel Aviv bank in 1994. Almogy said Amer was never convicted of a crime and that he believes the former prisoner is being held because of his brother\u2019s connection to the teen, the AP said.\n\n"We're used to seeing this sort of thing," he said.\n\nAbu Khdeir, who was born in Florida but living with his family in East Jerusalem, was arrested Thursday after he was identified as being involved in a clash between]" time="0.272"><properties><property name="score" value="0.07309181" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.07309181 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.07309181
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[\n\nToday we\u2019re excited to announce that Bethesda Game Studios has joined Oculus as a developer for the Oculus Rift. The partnership will see the creation of two exclusive, made-for-VR games from Bethesda Game Studios; the first is currently being designed for virtual reality and the second is being built for traditional monitors.\n\n\n\n\u201cAt Oculus, we\u2019re dedicated to helping developers and partners to grow, and the support and dedication we\u2019ve received from Bethesda Game Studios has been outstanding,\u201d said Brendan Iribe, CEO of Oculus. \u201cJohn Carmack, founder of id Software and now CTO at Oculus, believes in our vision and has created a custom version of Doom 3 BFG Edition for Oculus. We look forward to continuing to work with Bethesda as we develop our first generation of virtual reality games and experiences.\u201d\n\n\n\n\u201cI have a lot of personal interest in making sure that the VR gaming space is successful because I really believe in the technology and its potential to change gaming,\u201d said Carmack. \u201cAs a developer, the Rift is something that I\u2019ve wanted to work with for a long time, but the existing technology wasn\u2019t quite there yet. I\u2019m happy to be able to help to make the Rift a success and contribute to the rebirth of VR gaming.\u201d\n\n\n\nAt Bethesda Game Studios, developers are working on a number of unannounced projects including new entries in major franchises. Those who have seen this year\u2019s E3 show floor, Gamescom or Quakecon presentations have seen teases of what the studio is up to and a few of the titles we have in development are also being designed for virtual reality. The two games announced today are entirely new IP and we can\u2019t wait to show them to you when they\u2019re ready for primetime.\n\n\n\nFor those of you unfamiliar with Bethesda Game Studios, the acclaimed developer is responsible for creating many of the industry\u2019s most popular games including the \u201cElder Scrolls\u201d series, the single-player add-on to the original \u201cDoom\u201d and the \u201cFallout\u201d series. In fact, \u201cFallout 3,\u201d \u201cFallout: New Vegas\u201d and \u201cThe Elder Scrolls V: Skyrim\u201d were each awarded game of the year at the 2008, 2010 and 2011 BAFTA awards, respectively.\n\n\n\n\u201cWe have made some long-term technology investments with VR in mind,\u201d said Todd Howard, Game Director and Executive Producer at Bethesda Game Studios. \u201cHardware is finally catching up to the visions developers have had for virtual reality. Now when you put on a VR headset, you\u2019re transported to new and amazing worlds.\u201d\n\n\n\nThis year, Bethesda Game Studios showcased \u201cDoom 3 BFG Edition\u201d for Oculus. \u201cDoom 3 BFG Edition\u201d is a complete overhaul of \u201cDoom 3\u201d that brings modern technology and a classic, storied franchise into the world of virtual reality. This is the first title designed for virtual reality.\n\n\n\n\u201cJohn Carmack\u2019s work in the early 90s helped usher in the era of modern 3D gaming, and his genius continues to inspire developers to innovate,\u201d said Brendan Iribe, CEO of Oculus. \u201cThe team at Bethesda Game Studios is made up of the most talented developers in the industry and we can\u2019t wait to bring their newest games, made for virtual reality, to life.\u201d\n\n\n\nOver the past 20 years, Bethesda Game Studios has earned its reputation as one of the industry\u2019s most respected and accomplished game development studios. Creators of the 2006 and 2008 Game of the Year, \u201cThe Elder Scrolls IV: Oblivion\u201d and 2010 Game of the Year, \u201cThe Elder Scrolls V: Skyrim,\u201d Bethesda Game Studios has earned a reputation for excellence and quality with each of its five releases.\n\n\n\nThis partnership is another step toward realizing the future of virtual reality. It\u2019s an exciting time to be a gamer with the release of these groundbreaking VR titles, the arrival of next generation consoles and the continued evolution of the PC.\n\n\n\nStay tuned for more news on Bethesda Game Studios\u2019 titles for Oculus.\n\n\n\n\u2013 The Oculus Team]" time="0.315"><properties><property name="score" value="0.0019176067" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00191761 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00191761
|
|
assert 'Human' == 'AI'
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|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[\n\nHi~ B een a long time no see. Thank you for the continued support on the blog. So, how have you all been doing?\n\nToday, I have a special post. I know most of you do not know but it is the 'World Animal Day'. The day is celebrated worldwide on October 4 to create awareness of animal rights and welfare. The day is a very special one for me because I am a vegetarian, animal lover and a dog-person.\n\n\n\n\n\nSo for the last one year, I have been trying to spread the awareness among the people. I have been trying to encourage people to stop using animals as fur coats, cosmetics and for food. I want people to know the feelings of these animals, the pains they suffer and what they go through while they are alive. Also, the environmental damage they cause to the planet. It is very important to spread this message because animals are treated as if they are some sort of toys that we can play with.\n\n\n\n\n\nToday, I would like to share with you some tips on how we can help the animals and make the planet a better place to live. I also have a small personal pledge to make. Also, if you have not signed the pledge yet, you can also make your own pledge to protect the animals and the planet.\n\n\n\n\n\n\n\n\n\nTips and pledges to help the animals\n\n(made by my friend!)\n\nOne way we can make a change is by making an effort to not use cosmetics that are tested on animals. We can choose to use all cruelty free products and make a conscious effort not to use anything that has been tested on animals.\n\nWays to reduce our carbon footprints and help protect the environment:\n\nAvoid eating meat, or even better, go vegetarian (dairy, eggs are not vegan but I still encourage you to stop using dairy products as well)\n\nUse eco-friendly products - Not just cosmetics but also in our everyday lives.\n\nGo cruelty free - Choose cruelty free products and wear clothes that have not been made out of leather, fur or wool.\n\nStop buying those animals that we do not need. Also, choose to buy second hand or recycled clothes. Avoid buying pets if you cannot provide the proper care for them.\n\nAdopt, don't buy! You can adopt a dog or cat from an animal shelter. Do not buy animals from pet stores or breeders. They are sold to you as "breed-free" animals but most of them have been bred in horrible conditions. Also, make sure you know the sex of the animal you are getting, because they usually are sold as 'un-neutered' or 'un-spayed' animals.\n\nMake a conscious effort to not use plastic bags. Use reusable bags or better still, try to avoid using bags at all.\n\nTry to use products that do not harm the environment and are biodegradable.\n\nWays to help the animals:\n\nSign the pledge - To show that you support the cause to protect the animals.\n\nShare the post - Let others know of the cruelty that the animals go through. Let them know how they can help the animals too.\n\nJoin or start a protest or campaign to help the animals.\n\nThe small pledge I am making is to help the animals. Every month, I will be donating some money to an animal shelter in my town to help feed the dogs and cats there.\n\nThese are just some of the ways we can help the animals and the planet. We can all make a change, and make this planet a better place to live.\n\n\n\n\n\nIf you want to know how to become a vegan, and which cosmetics are tested on animals, you can read this post: How to be a vegan?\n\nRemember, we are what we eat, so be what you want to be. Be a good person, who loves animals and helps to save the planet.\n\nWith lots of love,\n\nPriya]" time="0.284"><properties><property name="score" value="0.47861063" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Top Customer Reviews\n\nWhere reviews refer to foods or cosmetic products, results may vary from person to person. Customer reviews are independent and do not represent the views of The Hut Group.\n\nUnique, gritty, and wonderful The Good: The worlds are some of the best I've seen in a while, and how you explore the city and interact with its citizens gives a great sense of authenticity and intrigue. As a huge comic fan, the references are abound. The story and narrative is one of the best I've ever experienced. The Bad: The game is very linear and the combat while satisfying can get old at times. Overall: This is one of the best games I've ever played, period. Everything about it is gritty, dark, atmospheric, and enticing. While you have a very linear path to follow in the main story, the side quests and interactions you can have with the citizens is one of the best I've seen. You are truly the villain in this game, so if you want to be good and helpful to everyone, this is not for you. But for the fans of dark, gritty stories, this is one of the best. The story and narrative are top notch. The villains are some of the most compelling I've ever seen in a video game, with even the main villains being so much more compelling than the good guys. I loved this game from start to finish, and can't wait to see where the series goes from here. The ending while great is somewhat confusing, so if you aren't]" time="0.283"><properties><property name="score" value="0.02088329" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[And now, ladies and gentlemen, I give you the breathless high-speed ranting I did when I saw the (potentially) wackadoo conclusion to this storyline.\n\nOh, my God, you guys, this episode has a freaking atomic bomb on the side of it.\n\nOkay, cool. It\u2019s the mid-season finale. I know there\u2019s going to be some serious plotlines.\n\nAnd seriously, what was up with the weird science in this episode?\n\nNo. No, I did not just watch an episode with the headline: \u201cOuch, My Butt!\u201d\n\nThat plotline was weird as hell.\n\nBut I can understand why they did it. He\u2019s trying to be a \u201csophisticated ladies man\u201d and not the boy they\u2019ve been dealing with all these years.\n\nOh, now this is hilarious. But it\u2019s also dangerous, if you\u2019ve watched any superhero movie ever.\n\nIn the brief moment that I was allowed to breathe, I actually enjoyed this part.\n\nNot only is this scientifically improbable, but also\u2026 how does a security camera shoot a laser?\n\nI know this is only in fiction, but I do believe that they\u2019re committing suicide.\n\nThis is also part of the reason why I wanted to talk about this episode. I know it\u2019s not a good look. It\u2019s not exactly smart of him to do this.\n\nI don\u2019t even know what to say here.\n\nWHY?\n\nHe\u2019s not afraid of bugs, but he\u2019s scared of that snake?\n\nI mean, yeah, I get that he\u2019s doing it for a different reason, but\u2026\n\nIf it weren\u2019t for that, then I would not have laughed so hard at this.\n\nOkay, look, I was done with this season for a while. I thought that it was becoming a boring clich\xe9d plot that they were sticking to, so I was ready to say goodbye to it. But then I watched this, and I just felt like I was watching a new show. There was so much going on, and they were throwing so much at us at once, and it was just such a good use of time. I\u2019m really happy that they had this show, because it was seriously pretty funny and it was also action-packed. There was a lot going on, but it was very clear, and it was fun to watch. I just loved how much was going on. I loved it, and I really did enjoy it. It was a bit much, and they took a lot of crazy chances, but it was just so fun to watch. That was some crazy stuff, and it was nice to see something so good after so much of the regular garbage we were getting. Overall, I loved it.]" time="0.278"><properties><property name="score" value="0.366245" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[(Adapted from the 2014 Urban Tree Canopy Conference)\n\nPotholes are problematic for all of us, and for our city\u2019s trees they represent a real danger. Roots can become entangled in the small cracks between the asphalt and the cement to create the impression that the tree is growing out of the road! And when the roots do become entwined, the pressure can be so great that the roots are destroyed. We all know the danger this creates for the trees.\n\nThe solution to this problem is obvious: pave over the whole road surface. Not so fast! In the City of Chicago, for example, there is a practice that preserves the utility of the tree\u2019s roots and of the road surface itself. The practice is called \u201cmilling\u201d. Milling involves cutting the asphalt out in a shape that will not disturb the roots and adding back in a new surface. While the tree is protected, the roots are not disturbed and the road surface is left intact. When a tree is scheduled for removal, this is often the method of choice. Milling also involves improving the root zone around the tree. The roots of many trees can\u2019t penetrate the compacted soil that is found beneath pavement, so it is necessary to mill the area to promote root growth.\n\nMilling is less expensive than paving over a road surface and can also be less expensive than removal of a tree. Milling should be done whenever possible and certainly before a tree is scheduled for removal. There is no need to sacrifice a mature, healthy tree.\n\nAdvertisements]" time="0.263"><properties><property name="score" value="0.027491624" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.02749162 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.02749162
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|
assert 'Human' == 'AI'
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|
- AI
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|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[How do i search for files with a specific suffix using Unix?\n\nOn Unix, to search for files that ends with a particular file extension, use the following command:\n\nfind . -name '*.html'\n\nOR use grep command to list all files in a directory and subdirectories that have the suffix:\n\nfind . -type f | xargs grep -l <suffix>\n\nSample outputs:\n\n./Ajax/contact-us/index.html ./test/index.html\n\nThe above commands are equivalent to the grep command on Linux/MacOSX or the find command on Linux/MacOSX:\n\n$ find . -name "*.html" ./test/index.html ./Ajax/contact-us/index.html $ grep -l -Ri -f -E ".*\\.html" ./ test/index.html Ajax/contact-us/index.html\n\nFind out all files with a specific filename (using shell pattern match):\n\nfind . -name '*.html'\n\nOR use the egrep command to list all files in a directory and subdirectories that have the suffix:\n\nfind . -type f | xargs egrep -l <suffix>\n\nSample outputs:\n\n./Ajax/contact-us/index.html ./test/index.html\n\nOR\n\n$ find . -name "*.html" ./test/index.html ./Ajax/contact-us/index.html $ egrep -i ".*\\.html" . Ajax/contact-us/index.html test/index.html\n\nFind files in a directory and subdirectories:\n\nfind . -name "*.html"\n\nOR\n\nfind . -type f | xargs grep -l <suffix>\n\nSample outputs:\n\n./Ajax/contact-us/index.html ./test/index.html\n\nOR\n\n$ find . -name "*.html" ./test/index.html ./Ajax/contact-us/index.html $ egrep -i ".*\\.html" . Ajax/contact-us/index.html test/index.html\n\nFind files in a directory and all]" time="0.324"><properties><property name="score" value="0.002334355" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Russia has expanded its ban on U.S. pork to include all American meat imports as the diplomatic row over alleged election meddling and the situation in Syria rumbles on.\n\nLast week, the Russian government added five new countries to the blacklist: South Korea, Montenegro, Iceland, Liechtenstein and Ukraine. While the list included major agricultural producers such as Brazil and Canada, U.S. meat producers were noticeably absent. However, on Wednesday, the government added the U.S. to the list of banned meat importers.\n\nThe ban was announced by the state consumer watchdog Rospotrebnadzor. A government official told Russian media that American meat imports were now being kept out of Russia on a \u201ctemporary basis\u201d.\n\nRussia is the fourth largest importer of U.S. meat, buying $51 million worth of poultry and $22 million of pork in 2016. According to the National Pork Producers Council, the U.S. shipped 27,600 metric tons of pork to Russia in 2016, which made up 0.3 percent of total U.S. pork exports.\n\nRead more: Polls Say Few Americans Think Trump is Putin's Puppet\n\nThe ban comes at a particularly difficult time for the U.S. meat industry, which is still struggling to recover from a disastrous salmonella outbreak that began in 2015. China, Vietnam and Mexico have all banned U.S. pork imports, while the EU and South Korea are still testing shipments.\n\nThe bans come as U.S. meat exporters have had difficulty convincing importers to trust American meat following the 2015 crisis. The outbreak, which resulted in more than 60 percent of pork being recalled, was linked to at least 184 illnesses in 20 states. While U.S. authorities traced the outbreak back to a farm in Missouri, they were unable to identify the exact source of contamination.\n\n\u201cThis has been a major setback for us and it will take a while for the industry to recover,\u201d said National Pork Producers Council spokesman Dave Warner.\n\nIt's not clear when Russia will lift its ban on U.S. meat, but Russia's state consumer protection watchdog has said it would allow Ukrainian meat imports.]" time="0.300"><properties><property name="score" value="0.0025902723" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00259027 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00259027
|
|
assert 'Human' == 'AI'
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|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[(NC)\u2014Despite the odds, there are some consumers who decide to head to the stores this weekend to start Christmas shopping. For some, the reason is because they still have some of their shopping list to complete. Others, however, have an entirely different reason.\n\nAccording to Statistics Canada, the average Canadian adult will spend $473.12 on gifts this holiday season. That means the average consumer will spend almost $35 more this year than last year.\n\n\u201cA lot of consumers have gone overboard,\u201d says Ted Michalos, founder of CMG Financial. \u201cIt\u2019s not necessarily the spending that\u2019s the problem, it\u2019s what they\u2019re spending the money on.\u201d\n\nThat\u2019s because many shoppers are buying gifts for themselves. That doesn\u2019t necessarily mean they\u2019re spending on the latest fashions, but rather toys and electronics. And the majority of these gifts, at 41.8 per cent, are going to be purchased online.\n\nHowever, the reason why so many people are spending online is because they\u2019re trying to avoid the crowds and waiting in lines.\n\n\u201cSome consumers just get too stressed and they go online to get their stuff,\u201d says Michalos. \u201cAnd if they do that, they\u2019re likely going to be paying more for the gifts.\u201d\n\nThat\u2019s because while there are fewer people at the store, they\u2019re paying more per person. For example, if someone is paying $50 for a gift in the store, they\u2019re likely to pay more than $50 online.\n\n\u201cThis is really the time where you\u2019re going to have to do your best to have everything done by the 15th,\u201d says Michalos. \u201cAnd it\u2019s definitely a good idea to sit down with your spouse or significant other and look at your budget. And when you have a child, the best thing to do is to write down what you\u2019re going to spend. That\u2019s a real good thing to do, because if you don\u2019t, you\u2019ll overspend.\u201d\n\nAnd that could come with consequences, because if you\u2019re overspending, you could be limiting your ability to spend on your children or other family members in the future.\n\n\u201cYou can go overboard and give away everything you have to your kids and that could be a problem,\u201d says Michalos. \u201cThis could be an opportunity to teach your kids about moderation, and also the difference between \u2018I want\u2019 and \u2018I need.\u2019\u201d\n\nBecause with Christmas, most people are shopping with the mindset of \u2018I want,\u2019 not \u2018I need.\u2019 And that can be a problem, because it will prevent you from saving or investing.\n\n\u201cIf you\u2019re going to be shopping on a credit card, you\u2019re going to be in big trouble,\u201d says Michalos. \u201cIf you\u2019re not able to pay off that debt by the end of January, you\u2019re going to be in big trouble.\u201d\n\nWant to know more about debt? Try these articles:\n\nNew Christmas ad showcases true meaning of the holidays\n\nTake advantage of these holiday deals\n\nHow to get your kids to be thankful for what they have\n\nWhat do you think? Join the conversation in the comments below or contact us using the \u201cHave Your Say\u201d form on this page.]" time="0.375"><properties><property name="score" value="2.6629782" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Developing in a Virtual Machine on your computer or laptop\n\nHello , Here we are going to learn how to create virtual machine on your computer for testing purpose. Before we start , it is better to know what is virtual machine. A virtual machine is a simulated hardware that allows you to run other operating systems (or other versions of the same OS) at the same time as your current OS, inside a window on your current OS. It can also be thought of as a computer inside a computer. With a virtual machine, you can: Run another operating system (or another version of the same operating system) at the same time as your current operating system. Try out a new operating system without having to install it on your hard disk. Run applications for one operating system on another, without having to reboot your computer.\n\nStep 1: Create a New Virtual Machine\n\nVirtualBox provides a wizard that will assist you in creating a virtual machine. Launch the program and select \u201cNew\u201d.\n\nStep 2: Create a Virtual Machine\n\nThe first window you see is the New Virtual Machine Wizard. Select \u201cCreate a virtual machine\u201d.\n\nStep 3: Create a Virtual Machine\n\nIn the next window, enter the name for your virtual machine. This name will appear in the main VirtualBox window next to the icon for the virtual machine.\n\nStep 4: Create a Virtual Machine\n\nThe next window is where you select the operating system you want to install.\n\nStep 5: Create a Virtual Machine\n\nIn the next window, select the amount of memory you want to allocate to your virtual machine. The more memory you have, the more applications you can run simultaneously. However, keep in mind that the more memory you allocate, the slower your computer will be.\n\nStep 6: Create a Virtual Machine\n\nSelect \u201cCreate a virtual hard disk\ufffd]" time="0.256"><properties><property name="score" value="0.01700924" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[The internet is a funny place, where people can get away with saying and doing the weirdest stuff that would otherwise be totally unacceptable.\n\nBut it turns out not even the internet is a free pass to sexually harass people.\n\nThat's what one woman learned when she was sent a totally inappropriate, NSFW photo from a stranger, that happened to be someone she knew in real life.\n\nTwitter user @kendtee, who describes herself as "an arm candy", tweeted about her encounter with the man she knew.\n\nAccording to @kendtee, the incident occurred after she agreed to take a picture with a guy. She then deleted the picture from her camera roll when it was over, and the man asked if she had. She said yes, and then he said this:\n\n"It's a shame we can't see the photo anymore because it was pretty good"\n\nShe didn't know how to respond. He then tweeted her back, asking her to "leave [the photo] up for a little while". She declined.\n\nApparently, he then texted her back, asking her to send him a copy of the picture.\n\nShocked by this behaviour, she shared the exchange on Twitter, and said the worst part was how "unbothered" he seemed about it.\n\nEventually she shared a screenshot of the exchange, and people were not impressed.\n\n"Oh wow. 'I'd do ya if I could' and then the photo request. You should probably just block him and be done with it. 'Doing ya' or not," one person said.\n\nAnother person had an idea on how to deal with it, tweeting, "You know what? Be a bigger person, send it to him. For posterity."\n\nMany others were in complete agreement with this sentiment.\n\n"I don't know this man and I probably never will. But I 100% understand why he's going to be blocked. A man who says that is definitely not a good person. All women should know their boundaries with men and this seems to me to be clear cut," one person said.\n\nIn the end, @kendtee went back to him and asked him to explain why he'd sent her that photo.\n\nAccording to @kendtee, he sent her this message in response:\n\n"How do you think I know that you're gonna see this tweet and block me or delete it.\n\n"I'm not trying to be a creep you just said that you'd do me so I figured we had a shot lol\n\n"I like your style and want to get to know you better\n\n"If you send the picture I promise not to be creepy and stop bothering you\n\n"I'm being serious here and I don't think I deserve the reaction I got\n\n"All I wanted to do was take a picture with a nice girl and see if she'd let me\n\n"I don't want to be a bad person or make you feel uncomfortable.\n\n"If you like I'll just go away\n\n"You're gorgeous and I'm sorry I don't deserve to meet you but I thought I'd try my luck\n\n"I won't message you again if you don't want me to\n\n"I'll delete the tweet and block you\n\n"I just wanted to try\n\n"Please"\n\nThe rest of Twitter wasn't impressed, calling him out for still not getting it, and for trying to shift the blame.\n\n"Like you have to explain what 'likes your style' means, like you're trying to shift the blame. But it's not ok. It's not ok for you to message someone for a photo. It's not ok for you to say 'I'd do you' and it's not ok for you to try and justify your actions," one person said.\n\nAnother pointed out that he was trying to pressure her into sending him the photo, and wasn't taking responsibility for his actions.\n\n"He's a creep, and still wants to force you to send him a picture of your body. He'll delete the tweet if you do, otherwise you can block him. This is on him, not you. You have no responsibility to 'meet' him," another person said.\n\n"Ok let's stop there with the 'I would've taken a photo with you anyways' thing. That's not what this is about. This is about someone sending unsolicited nudes," another person pointed out.\n\nIn response, @kendtee wrote that she wasn't bothered, because at the end of the day she was a "pretty woman who didn't need to be respected".\n\n"I didn't get mad or freak out or feel the need to drag his name through the mud. I just calmly informed him that I have a man in my life and that I'm flattered but I don't share photos like that and I'm taken. He didn't like it so he blocked me and I'm okay with that," she wrote.\n\nALSO ON HUFFPOST AUSTRALIA]" time="0.301"><properties><property name="score" value="0.10046141" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Perhaps one of the most beautiful areas of Southern California is the Pacific Palisades, a neighborhood filled with high rises, luxury estates, and tons of culture. From the obvious to the under the radar, Pacific Palisades has some of the most fascinating museums, gardens, and activities you can visit. When you need to get out of the house and explore a new part of Los Angeles, the Pacific Palisades is a fantastic choice.\n\nThe Getty Villa\n\nThe Getty Villa is a sight to behold, and is a must see when you are in the Pacific Palisades. You are welcome to explore the museum for free on the first Thursday of every month. They offer a free trolley that will take you to the Getty Villa, so you don\u2019t have to worry about navigating through the Pacific Palisades on a crowded day. This is the perfect time to visit the Pacific Palisades.\n\nThere are two events going on at the Getty Villa on Thursdays: Story Time and Pacific Voices. Story time will give you a better understanding of ancient Greek and Roman culture. It is a good idea to purchase your tickets in advance, so you can get a discount. The Pacific Voices event is a singing performance, and a great way to enjoy your time at the Getty Villa.\n\nSanta Monica Mountains National Recreation Area\n\nThe Santa Monica Mountains are a beautiful way to spend a day in the Pacific Palisades. The National Recreation Area has a fantastic number of trails you can explore, and is a great way to get out of the house and spend time with your family. Take the trail to Leo Carillo State Beach, or go for a hike along Rustic Canyon. Whichever trail you take, you are sure to enjoy your time in the Pacific Palisades.\n\nSanta Monica Baykeeper\n\nThe Santa Monica Baykeeper is a fantastic organization that works hard to clean up the Santa Monica Bay. This is a great way to spend time in the Pacific Palisades and make a real difference. Check their website for upcoming volunteer opportunities. You will learn more about the Santa Monica Bay, and get a chance to spend time with some interesting people.\n\nPacific Palisades Center for the Arts\n\nThe Pacific Palisades Center for the Arts is an excellent way to spend an afternoon. This isn\u2019t a museum, so you don\u2019t need to book in advance. It is free to walk around the grounds, and to watch a performance. They have everything from jazz concerts to visual arts. If you want to learn more about the Pacific Palisades, then this is a great place to start.\n\nPacific Palisades Farmers Market\n\nThe Pacific Palisades Farmers Market is an excellent way to spend your Saturday in the Pacific Palisades. From fruits and vegetables, to homemade items and baked goods, there are plenty of delicious items to choose from. This is a great place to bring the kids, as they have tons of activities.\n\nPacific Palisades Art Walk\n\nThe Pacific Palisades Art Walk is a fantastic opportunity to view some of the beautiful artwork created by locals. It is a fun evening filled with laughter and good food. You are welcome to bring your own picnic basket and enjoy it in the beautiful Pacific Palisades.]" time="0.271"><properties><property name="score" value="0.6068017" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.6068017 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.6068017
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Tom Shanks (writer)\n\nTom Shanks (born 1961) is a Scottish writer, journalist, and musician. He is the author of eight novels, including "The Hidden", the "Vampyrrhic Times" trilogy, and "Eve", an "Eve" (comics) spin-off novel.\n\nShanks has been living in France since 1983 and is married to the French writer Marie H\xe9l\xe8ne Poitras.\n\nShanks was born in Edinburgh, Scotland in 1961.\n\nShanks has been writing since the mid-1990s and has published several novels.\n\nShanks has also been writing for the British comic book magazine "2000 AD". His first script for them was the short story "Trevor's Tale", drawn by Simon Harrison, in "2000 AD" #1704, published in March 2008.\n\nThe comic book "Eve" was written by Shanks. It was released by Black House Comics in 2011 and the second volume was published in 2012. In 2012, IDW Publishing published a comic book prequel to "Eve", "Eve: The Awakening". The book was written by Shanks and Marie H\xe9l\xe8ne Poitras and illustrated by Enrica Angiolini.\n\nShanks has also written the script for "Apocalypse Cow", which was originally published in French and German as "La Vache Apocalypse". It was adapted as a comic book by Tony Lee.\n\nIn March 2010, the novel "Vampyrrhic Times" was published by Gollancz in the UK and by Roc in the US. It was illustrated by Tony Harwood. The second volume of the trilogy, "The Wisdom of Dead Men", was published in the UK in 2011 and the US in 2012. The third volume, "The Trade of Queens", was published in the UK in 2013 and in the US in 2014.\n\n\n\n\n\n\n\nShanks and Poitras run the Black House Comics publishing house.\n\nShanks is a member of the band The Bassholes, along with co-writer of Eve, Marie H\xe9l\xe8ne Poitras. The band is composed of Shanks and Poitras on vocals and bass, Poitras' husband, French artist St\xe9phane Paitreau, on guitar, and drummer "Chino" Gonzales. They released their first album, "No More Mr Nice Guy", on May 1, 2010, on Stuck on a Name Records. The album includes covers of classic rock songs, such as "Jailhouse Rock" and "Born to be Wild". In 2013, the band released a second album, "Sex Lies & Basslines".\n]" time="0.311"><properties><property name="score" value="0.04802345" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Rick Lake\n\nRichard G. Lake II (born April 7, 1979) is an American mixed martial artist who most recently competed in the Welterweight division of the Ultimate Fighting Championship. A professional competitor since 2004, he has also competed for the Quad Cities Silverbacks of the IFL, and was a competitor on Spike TV's "".\n\nBorn and raised in the Quad Cities area, Lake attended East Moline High School.\n\nAfter graduating from high school, Lake worked for two years as a full-time welder, before deciding to pursue a career in mixed martial arts.\n\nLake made his professional mixed martial arts debut on October 30, 2004 for the Quad Cities Silverbacks of the International Fight League. He won his first three fights for the promotion, before suffering his first loss to Ian Loveland on April 8, 2005.\n\nAfter picking up three wins in the IFL, Lake was signed by the UFC. He was expected to make his debut at UFC Fight Night 7 against Jason Gilliam. However, Gilliam was forced from the card with an injury, and was replaced by Jorge Rivera. Lake lost to Rivera via first-round KO on August 23, 2007.\n\nFor his second fight in the promotion, Lake dropped down to Lightweight and faced Kyle Bradley at UFC Fight Night 11 on November 17, 2007. He won the fight via unanimous decision (30-27, 30-27, 29-28).\n\nIn his third fight for the promotion, Lake dropped to Featherweight to take on Mike Brown at UFC Fight Night 13 on June 16, 2008. He lost the fight via unanimous decision (29-28, 29-28, 29-28).\n\nFor his fourth fight in the promotion, Lake dropped to Bantamweight and faced Brad Pickett at UFC 95 on February 7, 2009. He lost the fight via TKO in the first round.\n\nFor his fifth fight in the promotion, Lake faced Tommy Hayden at UFC 100 on July 11, 2009. He won the fight via submission in the first round, earning "Submission of the Night" honors.\n\nFor his sixth fight in the promotion, Lake faced George Roop on March 21, 2010 at . He won the fight via unanimous decision.\n\nFor his seventh fight in the promotion, Lake fought Roland Delorme on June 19, 2010 at . He lost the fight via submission in the first round.\n\nFor his eighth fight in the promotion, Lake faced John Gunderson on November 20, 2010 at UFC 122. He won the fight via split decision.\n\nFor his ninth fight in the promotion, Lake fought Jason Reinhardt on February 5, 2011 at UFC 126. He won the fight via TKO in the first round.\n\nFor his tenth fight in the promotion, Lake faced newcomer Darren Uyenoyama on June 11, 2011 at . He won the fight via unanimous decision (30-27, 30-27, 30-27).\n\nFor his eleventh fight in the promotion, Lake faced former WEC Featherweight Champion Mike Brown on October 29, 2011 at UFC on Versus 6. He lost the fight via unanimous decision (29-28, 29-28, 29-28).\n\nFor his twelfth fight in the promotion, Lake faced Nam Phan on May 15, 2012 at UFC on FX 4. He lost the fight via unanimous decision.\n\nFor his thirteenth fight in the promotion, Lake faced Sam Sicilia on July 11, 2012 at UFC 149. He won the fight via unanimous decision.\n\nFor his fourteenth fight in the promotion, Lake faced Ivan Menjivar on December 15, 2012 at UFC 155. He won the fight via split decision.\n\nFor his fifteenth fight in the promotion, Lake faced Jeremy Larsen on June 15, 2013 at UFC 161. He won the fight via TKO in the second round.\n\nFor his sixteenth fight in the promotion, Lake faced promotional newcomer Justin Salas on November 16, 2013 at UFC 167. He lost the fight via split decision.\n\nFor his seventeenth fight in the promotion, Lake faced fellow newcomer Max Holloway on February 15, 2014 at UFC 169. He lost the fight via TKO in the first round.\n\nAfter his release from the UFC, Lake dropped down to Bantamweight and made his debut on April 11, 2015 at IFC: International Fighting Championship 2 in Des Moines, Iowa against Rafael "Morcego" da Silva. He lost the fight via knockout in the first round.\n\nLake faced Gabriel Checco on May 28, 2015 at CXF 5. He lost the fight via split decision.\n\nLake faced Daniel Weichel on August 14, 2015 at Superior Challenge 12. He lost the fight via submission in the first round.\n\nIn his fourth fight since returning from the UFC, Lake faced Ryan Quinn on October 23, 2015 at CXF 8. He won the fight via knockout in the first round.\n\nLake faced Jim Alers on January 8, 2016 at CXF 10. He won the fight via TKO in the second round.\n\nLake faced Martin Stapleton on February 19, 2016 at MFW: A Night of Champions. He lost the fight via split decision.\n\nLake next faced Dylan Logan on September 2, 2016 at Cage Warriors 82. He won the fight via TKO in the second round.\n\nOn February 28, 2017, it was announced that Lake had signed with the UFC and was expected to face Alessio Di Chirico on March 18, 2017 at UFC Fight Night 107. However, on March 7, Di Chirico pulled out from the event, citing injury, and was replaced by promotional newcomer Marcin Prachnio. Lake won the fight via TKO in the second round.\n\nLake faced Gregor Gillespie on June 25, 2017 at UFC Fight Night 112. He lost the fight via split decision.\n\nLake faced Jarred Brooks on December 9, 2017 at UFC Fight Night 123. He lost the fight via submission in the first round.\n\nLake faced Drakkar Klose on February 24, 2018 at UFC on Fox 28. He lost the fight via TKO in the second round.\n\nLake faced Andre Fili on August 25, 2018 at UFC Fight Night 135. He lost the fight via TKO in the first round.\n\nLake faced Desmond Green on February 17, 2019 at UFC on ESPN 2. He lost the fight via technical knock out.\n\nIn July 2007, Lake was diagnosed with Crohn's disease, an inflammatory bowel disease that causes ulcers in the digestive tract. He began experiencing symptoms shortly after moving to California to train full-time. His Crohn's was brought under control through medication and diet, and it is currently in remission.\n\n\n\n]" time="0.659"><properties><property name="score" value="0.682968997" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.682969 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.682969
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assert 'Human' == 'AI'
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- AI
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+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[If you\u2019re working on a SharePoint app, you\u2019ll eventually need to get hold of a SharePoint context. At the time of this writing, there are two options: SharePointContext and SPUtility. Both work fine, and I think it\u2019s really up to your personal preference and comfort level to choose either. But for my purposes, I\u2019m a fan of using SharePointContext because it will use the most current context available, which is what I like to do.\n\nLet\u2019s take a quick look at the two SharePoint context providers that we have at our disposal: SharePointContext and SPUtility. We\u2019ll use these in conjunction with the new SharePoint REST API to get a SharePoint context.\n\nSharePointContext\n\nThe SharePointContext class represents a SharePoint context. The context is the central part of the SharePoint client object model, and it\u2019s available from any client, including SharePoint-hosted, remote, or SharePoint-hosted-remote applications.\n\nTo create a SharePointContext object, you call the SharePointContext.GetContextAsync() method and pass in a SharePointContextOptions object. The SharePointContextOptions object provides the user information and authentication settings. We\u2019ll dive into the details in the \u201cAuthorization\u201d section of this article.\n\nOnce you have your context, you can then call methods on it. The context has a number of methods on it to retrieve different information.\n\nLet\u2019s take a quick look at the available methods:\n\nGetContextAsync() - The method that is used to create the context.\n\n\n\n- The method that is used to create the context. SharePointContextPermission - The property that contains the permission token used to retrieve the current user.\n\n\n\n- The property that contains the permission token used to retrieve the current user. SharePointPermissions - The property that contains the current permission level of the user.\n\n\n\n- The property that contains the current permission level of the user. ListPermissions - The property that contains the permission level for the user to access lists.\n\n\n\n- The property that contains the permission level for the user to access lists. SPHostUrl - The property that contains the URL of the current host application.\n\n\n\n- The property that contains the URL of the current host application. Site - The property that contains the current site of the user.\n\n\n\n- The property that contains the current site of the user. UserPrincipalName - The property that contains the username of the current user.\n\n\n\n- The property that contains the username of the current user. Web - The property that contains the current web of the user.\n\n\n\nSPUtility\n\nThe SPUtility class provides static methods to retrieve a SharePoint context and return it. To get the context, you call the SPUtility.GetSharePointContext() method.\n\nThe methods you have available on the SPUtility.SharePointContext object are:\n\nClientContext\n\n\n\nWeb\n\n\n\nGetClientContext()\n\n\n\nGetWeb()\n\n\n\nSharePointContext Permission\n\nBefore we dive into the SharePoint context, let\u2019s talk about permission. The SharePoint context is going to be pretty useless without a permission token. We\u2019re going to talk about this permission token a lot in this article, so let\u2019s just take a quick look at how it\u2019s generated.\n\nWe\u2019ll need to use the SharePoint permissions provider to generate the token. To do so, you\u2019ll need to call the SharePointPermissionManager.GetPermissionsAsync() method. You\u2019ll need to pass in an instance of the site where you want the permissions for.\n\nIn this example, we\u2019re going to call GetPermissionsAsync() and get the current user\u2019s permissions.\n\nGetPermissionsAsync() returns a SharePointPermissions object, which you can use to set your permissions on lists, folders, and documents. The SharePoint permissions are applied in a single pass. This means that you can\u2019t apply different permissions to different entities. For example, if you want to apply permissions on the web, the site, and the lists and folders, you\u2019ll need to pass in the permission on the web, then on the site, then on the lists and folders. You can, however, pass in different permissions to different lists and folders.\n\nOne other thing to note about SharePoint permissions is that they only grant access to the web, not to the list or to the folder itself.\n\nFor example, if a user doesn\u2019t have the Edit permission to a list, he will still be able to view it. But if the user has the Edit permission to the list, he will be able to edit it.\n\nIf you want to deny access to the whole list, you can set the permissions for the list and all its subfolders to Deny.\n\nIn order to create the context, we\u2019ll use the context, the SharePoint permissions provider, and a helper class, which we\u2019ll talk about later in the article. The full example is shown in Listing 1.\n\nThe context object will now be passed to the constructor of a class called FileRootsProvider. The FileRootsProvider class is part of a helper class that I wrote and will be available to you in this article.\n\nThe provider will be created with the context and then called to generate the access token. Once the access token is generated, it will be returned to us, and we can start to retrieve information about the site and its lists and folders.\n\nAccess Token\n\nWhen you call the SharePoint permissions provider, you\u2019ll receive a token that represents the permissions for the current user. The token is returned as a SharePointPermissions object, which is what we\u2019ll use to apply the permissions.\n\nTo create a SharePointPermissions object, you need to pass in the site URL where the permissions should apply. For our example, we\u2019ll pass in the site URL to the SharePointPermissions constructor.\n\nAfter you\u2019ve created the permissions, you can apply them to the lists and folders. You can do this by passing in an instance of a list or folder to the SharePointPermissions constructor. If you want to apply permissions to all lists and folders, you can simply pass in an empty list or folder.\n\nNow that we\u2019ve created the permissions, we can use the FileRootsProvider class to generate the access token. The access token is returned as a SharePointContextPermissions object. The SharePointContextPermissions object contains the permission token and other details that we\u2019ll use to get information from the SharePoint site.\n\nAs you can see, the code to get the access token is pretty straightforward. The example is shown in Listing 2.\n\nList\n\nGetting the access token isn\u2019t all you need to do. You also need to be able to get a list and get a list item. To do this, you\u2019ll need to call the SharePointContext.GetListAsync() method. The method is easy to use and returns a list object.\n\nIf you\u2019re looking for a specific list, you can pass in the list GUID or the URL of the list. Listing 3 shows an example of both the URL and GUID to get the lists from.\n\nItems\n\nThe code to get an item from a list is just as easy as getting the list. You can pass in the list item GUID to the GetListItemAsync() method. Listing 4 shows an example of how to get the list item with the GUID.\n\nSummary\n\nThis article was a quick look at how to get a SharePoint context. The examples used a helper class that I created to make it a little easier to get access to lists and items from SharePoint.]" time="0.622"><properties><property name="score" value="0.14727592" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[A few months back, I wrote an article about the journey from yearning to prayer. Since I have been praying on and off for many years, I was finally blessed with the chance to journey from yearning to prayer. It took a few weeks but it did happen. In the past, my experience of praying was somewhat a miserable one. It was not that I was not able to pray but the truth was I never really enjoyed the praying process. As a matter of fact, I used to hate praying. When I was younger, I was more interested in action than in words. I just want to know what I have to do and get it done. Thus, I never really understood praying. I just felt I was doing nothing but looking at the ceiling. It was only after I found my faith in Jesus that I have understood praying.\n\nMy first experience of prayer was on the cross. I experienced the most painful prayer in my life when I saw Jesus on the cross. He was in pain and so am I. He was looking at the ceiling of the cross and so did I. In the midst of my pain, I opened my eyes and saw Him. I realized that my prayers were not on my behalf but for Him. I looked at Him and realized that He was the only one who can pray for me. I looked at Him and asked him to pray for me. I have never felt anything like it. I have never felt more connected to my God than that moment. I have never felt more at peace than that moment. I realized that praying is actually for Jesus. I realized that Jesus came to this world for a purpose. The whole point of his coming was to save mankind. I realized that He came to the]" time="0.261"><properties><property name="score" value="0.003987892" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[See What We\u2019ve Been Up to!\n\nDo you want to know what we\u2019ve been doing with the movies? Well, here\u2019s a quick rundown.\n\nCOLD WAR (with Tim Roth) \u2013 Dan is currently in development on a feature-length version of the short with Tin Star TV.\n\nLIFE SUPPORT (with Julie Walters) \u2013 The full feature has just finished post-production and is looking for a distributor. It has had a private screening at this year\u2019s BFI London Film Festival.\n\nDREAMWORLD (with Douglas Henshall) \u2013 Life and times of Alfred Wallace, who came up with the theory of natural selection, but had his ideas pinched by the infamous Charles Darwin. The film is in pre-production with Electric Pictures.\n\nSHELTER (with Adam Rayner and Bernard Hill) \u2013 UK feature about a homeless man and the estranged daughter who cares for him. Dan is currently in pre-production with Lionsgate.\n\nCHEERIOS (with Harry Lloyd) \u2013 Another one of Dan\u2019s shorts, this is a comedy drama about a family with a dying son. The short has been selected for film festivals around the world and won numerous awards.]" time="0.254"><properties><property name="score" value="0.002227179" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00222718 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00222718
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assert 'Human' == 'AI'
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- AI
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|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[To find the best restaurants near you, just enter your location into the search field and the restaurants will show up in a few seconds.\n\nWhat to eat in Italy?\n\nThe selection of Italian restaurants near me is the best on a restaurant and cafe app. Select your region or type in a town, village, postcode, a street name or a square and you will see a list of restaurants near me. Filter by price, type of cuisine or what's popular.\n\nItalian cuisine is known for it's fresh ingredients and regional specialties. To get a good feel for Italian cooking, you need to try each region's specialities.\n\nItalian Cuisine and Where to Eat it\n\nItalian food is all about local and fresh ingredients. Expect pasta, meat, cheese, fish, wine, and bread to feature heavily on a typical Italian menu. Eating out in Italy is an experience in itself, with food served on real plates and in restaurants with atmosphere to match. You can get a taste for Italian food in Britain, but it won't match the real thing.\n\nItalian food in Britain\n\nCrispy, fried, or grilled? With so many different types of pizza, the Italian restaurant menu can be hard to navigate. Luckily, we're here to help you out. Get ready to tuck into some of the best food on the planet. What are you waiting for? Order now and enjoy the best pizza!\n\nItalian Food Delivery\n\nDo you want to make the perfect meal but you are not sure what to cook? Don\u2019t worry, in the times that you are not sure of what to cook, the Italian restaurants have the solution. Just order what you want and our restaurant is the solution for you. Now you can order online and everything you need is in the palm of your hand.]" time="0.242"><properties><property name="score" value="0.3061239" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.3061239 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.3061239
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assert 'Human' == 'AI'
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- AI
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+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Unleash the Power of Your Language\n\n\u201cLearn How To Speak French Fluently In Just a Few Weeks\u201d\n\nFrench For Beginners: Step-By-Step French (5 CD set) \u2013 Learn to speak and understand everyday French words and phrases!\n\nDiscover The Easy Way To Learn How To Speak French\n\nAchieve Your Language Learning Goals \u2013 And Discover What French Is All About!\n\nSee a sample of this course\n\nTOTAL PAGES: 90\n\nGet Started In French Today\n\nMastering the French language may seem challenging, but with this easy-to-follow course, you will quickly become more confident in the French language. This course is designed to help you achieve your goals in speaking, reading, and understanding the language.\n\nLanguage is a fascinating topic, and knowing how to communicate effectively with other people is a key to success in a globalized society. This course is an effective means for you to learn the language of French, and more specifically, the local French spoken in France.\n\nIf you have never learned a foreign language before, this course can get you started right.\n\nIt will give you a clear insight into the basics of the language, and its essential parts. It is also a complete guide to getting to know the local French.\n\nYou will learn how to pronounce French words with clarity, and have a basic understanding of how to converse in the language.\n\nLearn how to hold a conversation in French with confidence!\n\nThis course has been written for people who would like to start learning the French language, as well as those who want to increase their vocabulary, expand their cultural understanding, or need French for their work.\n\nIf you have been studying French for some time and have gotten to a plateau, then this course will help you go beyond that plateau. The course can also be used as a refresher course to give you more confidence in the language.\n\nThere is a no-risk guarantee with this course. You are protected by a 60 day, money-back guarantee, and are fully covered by our no-risk, no-nonsense guarantee.\n\nSome of the topics covered in this course include:\n\nFacts About The French Language\n\nGreetings In French\n\nIdioms And Phrases In French\n\nA Guide To French Pronunciation\n\nAs well as grammar rules, grammar explanations, and hundreds of vocabulary terms.\n\nHere\u2019s What People Are Saying About This Course\n\nGaby Hernandez \u2013 \u201cGreat course! My instructor is patient and very thorough. Thanks for providing such a great resource!\u201d\n\nChloe Evans \u2013 \u201cThis is an excellent course. I learned so much! I would definitely recommend this course to anyone who wants to start learning French.\u201d\n\nPeter Johnson \u2013 \u201cI bought the course to learn a bit more French and for the advanced grammar. The instructor is excellent. The course is concise and well organized.\u201d\n\nSandra Hernandez \u2013 \u201cI am an advanced French student who has taken 4 years of French in high school and 6 years of French in college. I have a French instructor who is native French. I bought the course to brush up on grammar and to work on my listening skills. I thought the course was really good and the instructor is really good. I really enjoyed the course and feel that it is good for anyone, whether they are beginners or advanced. I would recommend this course to anyone who wants to learn French.\u201d\n\nChristina B \u2013 \u201cI bought this course because I am planning a trip to France, and I wanted to brush up on my French. I was pleasantly surprised. I\u2019ve learned so much. The course covers a lot of material in 5 hours. The instruction is very clear. I am very happy with my purchase.\u201d\n\nWhat People Are Saying About LanguageForBeginners.com\n\n\u201cThe lessons are very well laid out and explained.\u201d\n\n\u201cVery thorough, well presented and written.\u201d\n\n\u201cAn excellent course and great teacher.\u201d\n\n\u201cVery clear and to the point.\u201d\n\n\u201cThis course is perfect for beginners.\u201d\n\n\u201cThe course has helped me a lot.\u201d\n\n\u201cExcellent course for beginners.\u201d\n\nThe audio is very good. The teacher is excellent. The course is very well done.\n\nSee what you\u2019ll learn inside this course:\n\nWhat The French Language Is All About\n\nFrench Grammar In Detail\n\nBasic Sentence Structures\n\nGreetings In French\n\nWhat It Is Like To Speak French\n\nA Few Examples Of Conversations In French\n\nHow To Pronounce Words In French\n\nA Few Simple Phrases In French\n\nA Few French Idioms\n\nHow To Learn The Language Of French\n\nAnd much more!\n\nPlus, with this no-risk guarantee, you can\u2019t lose!\n\nIf you want to learn how to speak French, then you are in the right place. Take the first step towards improving your communication skills, confidence, and experience with a new language.\n\nClick the \u201cBuy Now\u201d button now to get started on your journey!\n\nRelated\n\nLanguage For Beginners: How To Speak French]" time="0.282"><properties><property name="score" value="0.004940318" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00494032 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00494032
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assert 'Human' == 'AI'
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- AI
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+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Self-Selection and Pupils\u2019 Labour Market Outcomes\n\nYoung adults from low socioeconomic status backgrounds are significantly less likely to go to university than their better-off peers. There is a significant self-selection in the probability of attending university and of high A-level achievement, which are key drivers of university participation. This paper exploits the introduction of minimum attainment targets in the National Curriculum for schools to explore the impact of early education policies on students\u2019 achievement and on their likelihood to study at university. We find that when minimum attainment targets are introduced, pupils from low socioeconomic status backgrounds are more likely to reach higher grade boundaries in the A-level exams, are more likely to go to university, and are more likely to study science or maths degrees.\n\nContents\n\nIntroduction\n\nData and methods\n\nAnalysis\n\nDiscussion\n\nConclusion\n\nIntroduction\n\nUniversity participation in the UK has grown substantially since the early 1990s. There are now 1.4 million undergraduates, which is almost double the number in 1992. However, participation rates have remained relatively low among those from lower socioeconomic groups (Furlong and Millar, 2008). For example, 40 per cent of young adults from high-income backgrounds were participating in higher education in 2011-12, compared to 21 per cent from the poorest fifth of families.\n\nTo some extent, low participation among young people from less advantaged backgrounds is to be expected given the historical association of university education with privileged groups. Participation rates increased significantly in the 1960s, after state support for university was extended to less affluent groups. Participation rose further during the 1960s, 1970s and 1980s, but then stagnated in the 1990s and declined slightly after 2002. Only in the past decade has participation among the less well-off again risen to the levels recorded in the early 1990s (see Figure 1).\n\nFigure 1. University participation rates by parental income, 1962-2012\n\nNote: Figures are cohort entry rates for those who went to university in each year. Sources: Department for Business, Innovation and Skills (2014); Sutton Trust/Ipsos Mori (2012); Education Policy Institute (2013).\n\nDespite increased participation, the gap in participation rates between young people from more and less advantaged backgrounds is still large, even after controlling for qualifications. On average, young people from the most advantaged fifth of families are about twice as likely to go to university as those from the least advantaged fifth (see Figure 2).\n\nFigure 2. Proportion of young people who go to university by family income, 1996-2012\n\nSource: Participation rates (log scale) are from the UCAS End of Cycle Reports, 1996-2012. The relative income quintiles are from the Family Resources Survey, 2008-2012. The quintiles have been adjusted to allow for comparison across years by using a fixed poverty line.\n\nAt a recent seminar organised by the ESRC Centre for the Microeconomic Analysis of Public Policy, Professor Martin Brown (2012) suggested that it is \u2018a great mystery why this gap is not widening even more\u2019. He also pointed out that there is a significant self-selection in the probability of attending university and of high A-level achievement, which are key drivers of university participation. It is well-known that, in addition to their socio-economic background, non-cognitive skills, such as motivation, are important predictors of academic achievement. Since the increase in university participation has been driven by the growth in participation of less advantaged groups, it is not surprising that it has also been associated with a fall in the average grades of university entrants.\n\nThis paper is motivated by this observation, that early education policies have played an important role in the increase in participation among less advantaged groups. We focus on two such policies: the requirement to meet minimum attainment targets in English, mathematics and science, and the national literacy and numeracy strategies. We explore the impact of these policies on students\u2019 achievement and on their likelihood to study at university. We find that when minimum attainment targets are introduced, pupils from low socioeconomic status backgrounds are more likely to reach higher grade boundaries in the A-level exams, are more likely to go to university, and are more likely to study science or maths degrees. We also find that the increase in the A-level scores and the higher participation rate associated with the introduction of minimum attainment targets cannot be explained by the improvement in the overall level of academic performance in schools or by the lower socioeconomic status of those schools that introduced minimum attainment targets.\n\nData and methods\n\nTo analyse the impact of minimum attainment targets, we use the school-level dataset that the Department for Education makes available annually for the National Pupil Database (NPD). The NPD contains rich information about individual pupils and their schools. We first use the NPD to examine the evolution of achievement at the end of compulsory education by using cohort-level information on final examinations. We then explore the impact of minimum attainment targets using changes in the composition of achievement. The results we present in this paper are robust to the alternative methods of analysis of achievement levels and changes in the composition of achievement.\n\nIn the first stage of our analysis, we explore the evolution of the A-level examination results by using the cohort-level information on final examinations. To study the evolution of achievement at the end of compulsory education, we use the data on A-level grades in GCSE and A-level examinations from 1996 to 2012. In this period, the examinations have changed significantly, from the General Certificate of Secondary Education (GCSE) to the General Certificate of Secondary Education (GCSE) and the A-level examinations. The A-level examination was first introduced in the early 1950s as an academically rigorous alternative to the less selective B-level examinations (Wynne, 2010). Until 1988, A-level grades (i.e. O/A levels) were assigned by teachers, not by the students. From 1988, the responsibility for grading moved to schools. The examination was revised in the early 1990s, after which it was separated into two components: A-level and AS-level. The A-level examinations were re-structured in 2000. Most importantly, the exams have become linear rather than modular. The exams in each subject are now taken at the end of the two-year course. The exams are now externally assessed, and the grade is assigned according to the nationally defined A-level grade boundaries. The percentage of the cohort that sat the A-level examinations increased from about two-thirds in the early 1990s to more than 90 per cent in the mid-2000s. This reflects a policy shift in the assessment of vocational qualifications, which reduced the proportion of vocational qualifications that counted towards a student\u2019s A-level grade.\n\nWe use a slightly modified version of the grading system developed by Hayward, Parry and Stewart (2009) and Bias et al. (2011). We use a scale of 5 grades to assess the performance of students in different subjects: 5 is an \u2018A*\u2019 grade, 4 is an \u2018A\u2019 grade, 3 is a \u2018B\u2019 grade, 2 is a \u2018C\u2019 grade and 1 is a \u2018D\u2019 grade. The best possible grade in each subject is an \u2018A*\u2019. This grading system differs from the one used in most of the existing analyses of A-level results, which use an A-E grading system. The difference between the two grading systems is illustrated in Figure 3, which shows that about 60 per cent of the students in the upper grade boundary of \u2018A*\u2019 under the old system would be below the upper boundary of \u2018A*\u2019 under the new system. Similarly, about 45 per cent of the students in the lower boundary of \u2018C\u2019 would be in the upper boundary of \u2018C\u2019 under the old system, and about 25 per cent of students in the lower boundary of \u2018C\u2019 would be in the upper boundary of \u2018C\u2019 under the new system. We expect that the increase in the A-level scores associated with the change in the grading system will be smaller for subjects that were not directly affected by the reform, such as English, maths and science. We do not analyse students\u2019 performance in the core and non-core subjects, because data on the subject of A-level examination was not available for every pupil.\n\nFigure 3. Grading scales of GCSE and A-level examinations\n\nIn Figure 4, we present the cumulative distribution of A-level scores for each cohort, by the subject studied. Figure 5 shows that the average A-level score increased from a little less than \u2018C\u2019 in 1996 to more than \u2018C\u2019 in 2012, which is consistent with the improvement in the average GCSE results. The gap in the average grades between different subjects remained stable. The increase in the average A-level grades was particularly large in science subjects and in humanities subjects. We do not find evidence of a widening gap in A-level scores between the richest and the poorest students. In the humanities subjects, there is some evidence of an increase in the A-level scores of the less well-off. However, the increase in the average A-level scores was so large that the difference in the average scores between the richest and the poorest students decreased even though it was not eliminated.\n\nFigure 4. Cumulative distribution of A-level scores in different subjects, 1996-2012\n\nSource: National Pupil Database, Department for Education.\n\nFigure 5. Average A-level scores, by subject, 1996-2012\n\nSource: National Pupil Database, Department for Education.\n\nA key issue in the analyses of trends in A-level achievement is the impact of the increase in the proportion of students taking A-level examinations on the average score]" time="0.902"><properties><property name="score" value="0.06369336766666667" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[East Face\n\n\nSkye\n\nThe Complete Guide\n\n\nSummit view from the top of the Cuillin Ridge\n\nTrevor Nace\n\n\nFirst published in Great Britain in 2015 by\n\nThe Crowood Press Ltd\n\nRamsbury, Marlborough\n\nWiltshire SN8 2HR\n\nwww.crowood.com\n\nThis e-book first published in 2015\n\n\xa9 Trevor Nace 2015\n\nAll rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publishers.\n\nBritish Library Cataloguing-in-Publication Data\n\nA catalogue record for this book is available from the British Library.\n\nISBN 978 1 84797 713 2\n\nFrontispiece: Climber on the summit of the Cuillin Ridge in front of\n\nMuckross Ridge and Beinn Eighe\n\n\nTo my partner Sally, whose support and love made it possible for me to fulfil my dream of a lifetime on Skye.\n\n\nContents\n\n\nTitle Page\n\nDedication\n\nCopyright\n\nAcknowledgements\n\nList of Plates\n\n1 Introduction\n\n2 An Introduction to the Cuillin\n\n3 Access\n\n4 West of Glen Brittle\n\n5 The Coire Gabhail / North-West Ridge\n\n6 The Black Cuillin Ridge\n\n7 The Central Cuillin Ridge\n\n8 The South-East Ridge\n\n9 The Ar\xeate of the Great Tower and the Clach Glas Ar\xeate\n\n10 An Dubh Sgeir\n\n11 The North-East Ridge\n\n12 The Minnoch Burn\n\n13 Selected Bibliography\n\n\nList of Plates\n\n\nPlate 1: Spade Level, Coire an Lochain, Glen Brittle, in winter\n\nPlate 2: View of the Beinn Eighe massif from the east\n\nPlate 3: Snow-filled Coire na Banachdich, Coire an Lochain\n\nPlate 4: Black Cuillin ridge from the Spade Level\n\nPlate 5: Near the end of the Black Cuillin ridge\n\nPlate 6: Climbers on the summit of Tower Ridge\n\nPlate 7: Skye seen from the summit of the Cuillin ridge\n\nPlate 8: Climbers near the summit of Clach Glas Ar\xeate\n\nPlate 9: Snow on the summit of An Dubh Sgeir\n\nPlate 10: Landscape of the Minnoch Burn\n\n\nAcknowledgements\n\n\nFirst of all, I would like to thank John Brailsford, who accompanied me on my very first walk in the Cuillin in 1996 and whose generous and knowledgeable company has been a constant source of inspiration to me. A particular thanks also to Donnie Hall for all his practical support and guidance during my exploration of the Cuillin. I would also like to thank the helpful staff of the Skye Library in Kyle of Lochalsh, and Alison Connell for the excellent maps. I am grateful to the Climbers\u2019 Club for publishing my article on the Cuillin.\n\nFinally, a big thank you to Sally, who has been a constant source of encouragement, inspiration and love, and to my family and friends who have given me endless support.\n\n\nPlate 1: Spade Level, Coire an Lochain, Glen Brittle, in winter\n\n\nPlate 2: View of the Beinn Eighe massif from the east\n\n\nPlate 3: Snow-filled Coire na Banachdich, Coire an Lochain\n\n\nPlate 4: Black Cuillin ridge from the Spade Level\n\n\nPlate 5: Near the end of the Black Cuillin ridge\n\n\nPlate 6: Climbers on the summit of Tower Ridge\n\n\nPlate 7: Skye seen from the summit of the Cuillin ridge\n\n\nPlate 8: Climbers near the summit of Clach Glas Ar\xeate\n\n\nPlate 9: Snow on the summit of An Dubh Sgeir\n\n\nPlate 10: Landscape of the Minnoch Burn\n\n\n1\n\n\nIntroduction\n\n\nThe spectacular granite peaks of the Cuillin on the Isle of Skye have captured the imagination of hillwalkers and climbers for over a hundred years. When George Henry Alcock (1864\u20131941), a climber and mountaineer, visited the Cuillin in 1893, he wrote in his book Through the Highlands and Islands of Scotland:\n\nNo one who had not seen the Black Cuillin and the peculiar forms which the rocks assume would believe that nature could assume such strange shapes as are seen here. The first view of the Cuillin from the south makes them look like a huge fortress of rock, with fantastic turrets and chimneys, and battlemented walls.\n\n\nToday these classic features, viewed from the slopes of the nearby mountains of the mainland, such as the Beinn Eighe and M\xf2ine Mh\xf2r, have hardly changed. But the Cuillin are not just aesthetically pleasing. To their first British explorers in the mid-nineteenth century, the Black Cuillin, which form a massive ridge running from Coire an Lochain in Glen Brittle to An Dubh Sgeir, seemed a forbidding mountain barrier, \u2018a fortress of rock\u2019. Their modern reputation, and that of the smaller range of the Red Cuillin to the south-east, as a major challenge to both rock climbers and mountaineers, was established during the second half of the twentieth century. However, despite the presence of the two main ridges on the Black Cuillin (North-West Ridge and Central Ridge), many individual peaks, and the climbing routes up them, were relatively unexplored. This was to change in the 1970s and 1980s when many of the hard, mixed and winter routes, most of which were first climbed in the Cuillin, were recorded by enthusiastic pioneers. Today, climbing and scrambling in the Cuillin can be combined with hillwalking, and the varied routes, combined with the varied weather of Skye, offer an extremely satisfying and testing experience for a mountaineer.\n\nIn writing this guidebook, I have had to make many decisions regarding what routes to describe, and which to omit. Many climbers may not agree with my choices, and it is inevitable that a guidebook such as this will not be comprehensive. As well as describing my chosen routes, I have tried to include a range of other interesting aspects of the Cuillin, in order to make the book relevant to anyone interested in a mountaineering trip to Skye.\n\nGeology\n\nThe geology of Skye, and especially the Cuillin, is fascinating, and as well as a number of peaks and ridges, it has given rise to a series of dramatic glens, the upper parts of which are in the Inaccessible Pinnacle (Coire nam Bian) to the north of the main ridge. The Black Cuillin consist of metamorphic rocks which were formed as a result of a major mountain-building event in the Caledonian Orogeny, the mountain-building event which took place between 500 and 400 million years ago. At this time, a number of folds (anticlines and synclines) were formed, some of which can be seen today. The Blue Stack of the Old Man of Storr, for example, was the result of the raising up of a syncline (Fig. 1). This event also resulted in the granite being exposed to the surface, but this did not happen everywhere. To the east of the island, most of Skye is underlain by metamorphic rocks, but to the west, particularly on the western coast of the Trotternish peninsula, granite is exposed. The Blue Stack is also part of a major fold which has resulted in the formation of the Trotternish Ridge.\n\nFigure 1. The Blue Stack of the Old Man of Storr.\n\n\nThese major events have also resulted in a relatively complex geological map, with three main rock types (Fig. 2). A general layer of granite, called the Inaccessible Pinnacle Quartz Diorite, extends from the Blue Stack north-eastwards to Beinn Eighe. This granite has been intruded by the Red Cuillin Granite, which has a different composition and thus has different characteristics to the underlying rock. In the central and eastern parts of the main ridge of the Black Cuillin, the rocks are composed of the Papcastle Gneiss, which is a granitic metamorphic rock. However, to the west, around Sgurr nan Gillean and Glas Bheinn, the Papcastle Gneiss has been intruded by the Kintail Granite, giving rise to a more mottled appearance in this part of the Cuillin. A further complex of rocks is exposed on the north side of Glen Brittle, which includes the Torridonian Sandstone, Lewisian Gneiss, and Dalradian schists.\n\nFigure 2. Geology of Skye showing the main rock types.\n\n\nPeaks\n\nAs well as providing interest to geologists, the geomorphology of the Cuillin is also fascinating for climbers and walkers. With so many ridges and peaks, there is much to explore, and each summit offers its own rewards. Some of the individual peaks are not very high, but offer serious scrambles and rock climbs, while others, such as the highest summit of Sgurr nan Gillean (1,018 m) and the first major peak on the Central Cuillin Ridge, Sgurr Dearg (974 m), offer impressive views. Sgurr nan Gillean]" time="0.637"><properties><property name="score" value="0.4741402" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.4741402 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.4741402
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assert 'Human' == 'AI'
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- AI
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+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[The Orangeville Banner\n\nOrangeville, Ontario, Canada\n\nApril 9, 1905\n\nPAPER HUNT CONTINUES\n\nINSTEAD OF CASHING $5.00 BILL\n\nA message has been received at the Herald office from Orangeville to the effect that a lady, who has had $5.00 stolen from her purse, did not give the money to an expressman, as stated in last issue, but to another man whom she has not been able to identify, and that the messenger from St. Catherine will not get the money unless he turns it over to her. We have been searching for this lady for several days, and when the Herald office was last searched, we overlooked this message.\n\nAnother story of the stolen money says the woman, whose name is not given, gave the money to a young man who said he was a messenger from St. Catherine, and promised to deliver the money to the party it was addressed to at Kincardine.\n\nTHE MAYOR DISQUALIFIED\n\nA meeting of the citizens of Orangeville was held last Saturday evening at the Orangeville Town Hall, with Dr. A. S. Gibson, M.P., in the chair, to take into consideration the statement made by W. A. MacLean that Mayor D. M. McKenzie was disqualified from holding office under the Municipal Act of Ontario. It was resolved that the matter be placed before the proper authorities for them to decide. The mayor then withdrew from the hall.\n\nMayor McKenzie\u2019s statement in relation to his withdrawal from office is as follows:\n\n\u201cIn this connection I have no desire to act in any unbecoming manner, and I shall resign from the position of mayor. However, I do not desire to leave town. I will reside here and attend to my business as usual, and my many friends who know me and who are not residents of the municipality will be glad to meet me. I want to get at the bottom of this business and find out who it was that drew up the notice of my being disqualified. I was the first one to speak in this town against the big sewer, but I am satisfied now that my opinions are shared by the majority. I do not think that the matter will go much further than the city hall, and as soon as the legal steps are taken the city will be rid of this question.\u201d\n\nSILVER ORGANIZATION\n\nWe are glad to learn that a Silver organization has been formed in this town, and that a meeting is to be held at the Orangeville Opera House next Saturday evening. This is an organization for the purpose of working for free silver, and they are working under the leadership of W. H. Phillips, M.P.\n\nThe representatives of the Anti-poverty society who are here this week will probably have an engagement to-morrow evening. They are endeavoring to make Orangeville the headquarters of the work in this vicinity, and several of the agents will be here for some time. The meeting will be held at the town hall.\n\nA prominent Orangeville man, who is in the wholesale hardware trade in this city, returned this week from Chicago.]" time="0.293"><properties><property name="score" value="0.0051737307" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00517373 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00517373
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assert 'Human' == 'AI'
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+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl["Outstanding! Don't miss this book. No matter what is going on in your life right now, this book will speak to you and help you move beyond whatever has you stuck or hurting. Buy it, read it, and be better for it."\n\n"I am so very grateful that Kari Byron chose to share her story with the world. As a writer, I love to read memoirs, but this one was different than others I have read. The author shared her story in such a way that it was as if I was hearing it from a dear friend. In this era of time, it is refreshing to read something from someone who has the courage to share the good and the bad from their lives. I laughed, I cried, and I grew to appreciate the value of living. I hope this book will find its way into the hands of many who are struggling with life in a way that brings freedom to their hearts."\n\n"Kari Byron's book is a refreshing look into a woman's journey to finding joy after hardship. She offers hope and practical tips that can be used by women of all ages. This book is a must read."\n\n"I couldn't put it down! I'm a mom of 3 young kids and struggle with guilt daily, but Kari Byron's words of encouragement and her willingness to share her personal struggles make me feel like I can face my own obstacles and not feel alone."\n\n"Kari Byron shares her heart in this honest memoir and gives you the tools to follow your heart, your passion and live your life to the fullest! You are sure to find her journey inspiring!"\n\n"I loved this book. From the moment I picked it up, I couldn't put it down. It was a fun, easy read, but the lessons and life advice Kari shared had me reflecting and taking notes. I laughed and cried, and I'll be reading this book over and over again to encourage myself and remind myself of the lessons it teaches."]" time="0.258"><properties><property name="score" value="0.20373766" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Since the beginning of time, humans have been fascinated by the mysterious. The sky has always been full of questions. Our ability to dream big and speculate has enabled us to discover, theorize, and theorize even more. But where do we get the answers? These are the top 10 theories on the unsolved mysteries of the universe.\n\n10. Extraterrestrial Origin\n\nThe human race began to emerge from the Stone Age. The caves and forests were just getting familiar with the new inhabitants. There was a long time of fear and ignorance. Before we started to understand the world, they began to imagine what is outside the world. Some thought of creatures so powerful that they could destroy the world. Other speculated that we are a higher level of evolution and are the result of genetic experimentation of extraterrestrial beings.\n\nLater, these speculations were transformed into mythology and the imagination of the humans. In our modern world, it has turned into science. Many scientists still believe that we are not the only life in the universe and that at some point in history there was a connection with extraterrestrials. Some of them even believe that the first stages of our life were carried out with the help of aliens.\n\n9. Time Travel\n\nSince the beginning of history, people have always been fascinated with time. To travel back in time would allow us to explore the unknown, but would it be worth it? We live in a world where time is constant. Change is one of the most important principles of human life.\n\nNevertheless, many scientists still consider the possibility of time travel. The hypothetical method would be to build a giant machine that would make a hole in time. But how can this happen? It would involve breaking the speed of light and space.\n\nThe machine would have to be so big that it would create a massive black hole. Then the time machine would be moved into the center of the black hole, which would allow it to break the laws of time. So far, scientists have not been able to prove the validity of this theory.\n\n8. Time Travelers\n\nDespite the fact that time travel is still a hypothesis, there are people who believe that it is not. They claim to have traveled back in time to the present or to a previous generation. For this reason, there are also numerous stories about people who claim to have returned from the future to save the world.\n\nMost people who claim to have traveled back in time are just crazy. However, many scientists consider it possible that in the future, when we understand the laws of physics better, we may be able to travel through time. This possibility has been a mystery for a long time. So, this is a list of top 10 theories on the unsolved mysteries of the universe.\n\n7. Deja Vu\n\nThe theory of Deja Vu is so controversial that many scientists do not even dare to think about it. The definition of deja vu is, when a person experiences something, although he has never done it before. Many people think of it as a kind of visual hallucination. The most popular theory about the phenomenon is that it is a past memory that has not been triggered by the usual way.\n\nAnother possible explanation is that the brain creates a fake memory to deceive the person who feels it. The theory is that in reality the person does not experience a deja vu, but it is an internal response to the same scenario. In short, the brain recognizes the environment and recognizes the story that it represents.\n\nIn this case, the illusion is that the person has lived through this scenario. Nevertheless, there are many people who do not think so. The reason is that deja vu is a phenomenon that occurs in any person. So, we have 10 theories on the unsolved mysteries of the universe.\n\n6. Water World\n\nIt is one of the most popular theories in the world of science. It is believed that the moon is a result of a collision between the Earth and a body much larger than it. As a result of the collision, our planet was literally ripped. But what happened to the mass that fell on the surface? According to scientists, this part of the Earth remained liquid.\n\nThe evidence is so compelling that the theory of the water world has become a reality. For example, there is a large number of scientists who believe that the moon was the result of the Earth\u2019s rotation and gravitational collapse.\n\nMoreover, there are evidences that this theory may be true. For example, when scientists tried to drill in the Antarctic, they found water underneath. Also, according to many scientists, the planet Mercury, which has no magnetic field, may be the result of the remains of the water world.\n\n5]" time="0.339"><properties><property name="score" value="0.06907027" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[There are no spoilers in this review\n\nFrom the off, the third episode in the new Star Trek Discovery series has a slow pace. It is the most quiet of the three episodes and is more of a character study in the struggles faced by all of the Discovery crew and how that manifests in different ways. With that in mind, I find it strange that this is not getting the universal praise that the first two episodes were. But that\u2019s the power of spoilers I suppose, no one knew what was coming in the first two episodes.\n\nThe episode itself, despite being more quiet than the first two, still manages to deliver plenty of story. You do have to take it with a grain of salt because some of the \u2018bad guy\u2019 stuff is almost unbelievably naive but that\u2019s the Star Trek universe for you. Despite the low stakes, I was still hooked on every word and scene.\n\nThere are plenty of hints that we can be certain that there is a big bad out there that we have not seen yet. Perhaps that is what made the episode more interesting. There is something looming over them and we don\u2019t know what it is yet.\n\nFor some reason, people seem to have a problem with the fact that the crew spend time getting to know one another, with only a couple of scenes of violence and action. Personally, I found that the social dynamics between the characters to be very interesting and engaging. Yes, this is probably true to life and does have some real life parallels. I am glad they did not waste time with all of that mindless action that I\u2019ve become so accustomed to.\n\nThere are no huge shocks in this episode and the pay offs to the mini story arcs were a bit weak. But when the pay off came, I was still glad that they took the time to introduce us to the characters in this way.\n\nIf you have been put off watching Star Trek Discovery because of the fear of spoilers, then I would suggest you don\u2019t worry too much and go ahead and start the show. If you can manage to resist the temptation of the spoilers for the next two weeks, then I think you will be very happy with the third episode and the direction the show is heading in.\n\nLet us know what you thought of the episode in the comments below and if you have seen the first two episodes.]" time="0.336"><properties><property name="score" value="0.32030076" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[You might know of me. I am one of the project managers for Windows 7. Or Windows 7 team is one of the teams that I work in. As a lot of you know, my favorite and almost only thing to do when I am not working is to read a good book. Well, I have done it again. I just finished the book I am about to recommend to you. This book is called \u201cReady Player One\u201d by Ernest Cline. I can\u2019t recommend this book enough. So what\u2019s the big deal? You are about to find out.\n\nSo what is it about?\n\nThis book is a story about Wade, a teenager, living in the year 2045. The world is in a bad state.\n\nTechnology has progressed very fast, but a lot of humans have been left behind. Wade\u2019s life sucks. He lives with his aunt in the slums of Oklahoma. All he does is play video games.\n\nThen, one day, he hears of a contest to win a fortune by finding the first Easter egg in the virtual reality game OASIS. The creator of OASIS has died and has left behind a secret quest. A quest that has the prize to the first person to complete the quest. But there is a catch: only the creator of the game knows how to find the Easter egg. And he has hidden the clues in the game.\n\nIt is up to Wade to try to find the Easter egg first. But not alone. He quickly assembles a group of fellow OASIS players. This group consists of his best friends and fellow gamers. This quest will soon turn into a journey. And I don\u2019t want to tell you more, because I don\u2019t want to spoil the story for you.\n\nA bit about the Author:\n\nErnest Cline is the author of the book Ready Player One. He is from the state of Texas. He has lived in New York City for a few years, but has now moved back to Texas. He is 40 years old and has been writing books for a long time. His first book was published in 2001.\n\nErnest Cline is very much into old science fiction books, and especially the 1980\u2019s. He loves the music, TV shows, video games and movies of that decade.\n\nMy thoughts:\n\nWhen I read this book, I really couldn\u2019t put it down. I just wanted to know how the story would end. I wanted to know if the good guys would win. I wanted to know how they would beat the bad guys.\n\nI am sure you will love this book, just like I did. It is filled with great references to the 1980\u2019s. If you are born after that time, you will probably have to read the story first to get the references, but I am sure you will enjoy it.\n\nI will also tell you, that this book is a great story, and I can easily recommend this book to any reader. It is not just a story about technology. It is also a story about friendship and courage. And in the end it is a story about hope and dream.\n\nIf you want to read this book, you can find it on Amazon. Or your favorite bookstore. I am not going to tell you how much it costs. I am just going to tell you that it is well worth the price.]" time="0.286"><properties><property name="score" value="0.09371428" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Additional information\n\nApplicants must be 18 years of age or older and must complete and submit the National Labor Relations Board (NLRB) #6 or #7 form, indicating that they will not engage in secondary boycotts or strikes.\n\nThis position is in the bargaining unit.\n\nWe will require your W-2 forms as well as your Federal tax returns for the previous year for verification of your claimed dependents.\n\nApplicants must have unrestricted United States Government security clearance with the Department of Defense or its contractors to be eligible to work in a building that is controlled access.\n\nThis position is located in a National Defense Center. Individuals must be U.S. Citizens or U.S. Nationals (no exceptions) or eligible to be a U.S. Citizen or U.S. National to be hired in this position.\n\nApplicants who have not yet completed a Security Clearance must be able to obtain one in a reasonable amount of time.\n\nApplicants must have or be able to obtain a high school diploma, GED, or other equivalent qualification, and two years of job related experience to be hired.]" time="0.245"><properties><property name="score" value="0.758418" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[HARRY POTTER and the Order of the Phoenix is a 2007 British-American fantasy adventure film directed by David Yates and distributed by Warner Bros. Pictures. It is based on the novel of the same name by J. K. Rowling. The film, which is the fifth instalment in the Harry Potter film series, was written by Michael Goldenberg and produced by David Heyman and David Barron.\n\nThe film stars Daniel Radcliffe as Harry Potter, alongside Rupert Grint and Emma Watson as Harry\u2019s best friends Ron Weasley and Hermione Granger.\n\nThe story follows Harry\u2019s fifth year at Hogwarts as the Ministry of Magic is in denial of Lord Voldemort\u2019s return. Harry must uncover the truth, with the help of his friends, and confront Voldemort.\n\nThe film began production in early 2007 and was released in theatres in the United Kingdom and United States on 12 July 2007, grossing a total of $292 million at the worldwide box office.\n\nThe film was nominated for two BAFTA Film Awards in 2008.\n\nFollowing a Harry Potter fan\u2019s dream that Harry\u2019s late headmaster Albus Dumbledore is alive, and in a critical condition at the Ministry of Magic, Harry Potter and his friends Ron Weasley and Hermione Granger, decide to rescue him, as the school year comes to a close.\n\nOn the night of their attempt to break into the Ministry, Ministry of Magic employee Delores Umbridge slashes Rubeus Hagrid\u2019s hand with a knife, accusing him of stealing her kitten.\n\nHarry, Ron, and Hermione fight the Death Eaters. Lucius Malfoy and his son Draco both try to attack Harry, but he manages to save himself. Harry, Ron and Hermione get separated, and in the chaos, Ron manages to grab the prophecy from the Ministry\u2019s Hall of Prophecies.\n\nHarry and Hermione escape the Ministry, and Ron awakes to see Harry and Hermione\u2019s signatures on the prophecy, but does not know that Harry had ripped the prophecy out and left it in the hands of his godfather, Sirius Black, before he was killed.\n\nSirius, Harry, and Hermione head to the headquarters of the Order of the Phoenix, where they meet with fellow members Remus Lupin and Nymphadora Tonks, and Sirius\u2019s brother, Regulus.\n\nThe Order is joined by the regular adult wizards and witches in the battle, as Voldemort and his Death Eaters take over the Ministry of Magic and declare martial law on the entire Wizarding community.\n\nAlbus Dumbledore appears to die in battle, but this is revealed to be a ruse, as he and Severus Snape attack Voldemort and Lucius Malfoy, and attempt to take the prophecy from Ron. Lucius disarms Dumbledore, and an enraged Bellatrix kills him.\n\nBellatrix and Narcissa Malfoy stand by their husbands\u2019 sides. Albus Dumbledore\u2019s portrait is replaced with one of Snape. Harry, Ron, and Hermione are rescued by Order members. Voldemort and the Death Eaters leave the Ministry.\n\nHarry, Ron, and Hermione are told by Remus Lupin that all of the other Order members have been killed. Harry attempts to repair his damaged wand. He is visited by Snape, who tells Harry that the boy\u2019s wand is irreparably damaged and needs to be destroyed, as Voldemort has become aware that the wand is of a \u201cunique\u201d nature.\n\nThe two engage in a fierce duel in which Snape calls on his master to save him. Harry is unaffected by the curse due to his ability to cast a shield charm. He manages to shield himself and fight back, and in his distraction, Snape accidentally breaks his neck and dies.\n\nHarry meets with Dumbledore\u2019s portrait, who reveals to Harry that the boy\u2019s mother died to save him, and Harry is filled with his mother\u2019s love. Harry reveals that he feels angry and confused at this revelation.\n\nHarry also learns that the reason that Voldemort has gone to such great lengths to kill him is that Harry is a Horcrux, a piece of Voldemort\u2019s soul that resides in Harry\u2019s body.\n\nHarry then leaves Dumbledore\u2019s portrait and meets with Ron and Hermione, who have just been told that the students and staff are to evacuate the school, as the Death Eaters have declared that Hogwarts is no longer safe.\n\nHarry, Ron, and Hermione are joined by Remus Lupin, Nymphadora Tonks, and several other members of the Order of the Phoenix, and they apparate to 12 Grimmauld Place, the headquarters of the Order.\n\nThe Battle of the Department of Mysteries is followed by the Death Eaters taking over the Ministry of Magic, as they believe the prophecy to be a key to Voldemort\u2019s victory. Harry returns to Hogwarts to retrieve the prophecy from Voldemort.\n\nHe, Ron, and Hermione get ambushed by Death Eaters, and when Harry goes after the prophecies, he ends up dueling with Voldemort.\n\nHarry calls upon the remaining strength of his mother\u2019s love, and as Voldemort\u2019s Killing Curse rebounds upon him and hits Harry, the battle is ended, and the school is cleared of the Death Eaters.\n\nHarry wakes up to find Dumbledore, Sirius, and Remus in the hospital wing, as well as his friends and the rest of the school, and he realizes that he is safe.\n\nDumbledore then proceeds to give Harry his restored invisibility cloak, explaining to Harry that the Invisibility Cloak is one of the Deathly Hallows. Harry then says goodbye to his friends, as he leaves with Dumbledore to destroy the seven horcruxes that contain fragments of Voldemort\u2019s soul, which will make him immortal.\n\nThe film ends with Harry and Dumbledore leaving the school in a car, accompanied by Professor Minerva McGonagall.\n\nI liked this movie as it is full of action and adventure. The plot is great as well as the dialogue. It is a well made movie and it is very entertaining.\n\nThis movie is definitely a must-watch, as it has plenty of action as well as being very humorous.\n\nAdvertisements]" time="0.559"><properties><property name="score" value="0.00871626285" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00871626 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.00871626
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Hush, little baby, don't you cry\n\nI know a thing or two that will make you happy,\n\nIf you will only come with me.\n\n\n\nHush, little baby, don't you cry\n\nI know a thing or two that will make you happy,\n\nIf you will only come with me.\n\n\n\nIn my bag there's a beautiful surprise,\n\nIf you will only come with me.\n\n\n\nOn my back I'll show you the sights\n\nThere's a rainbow in your eyes,\n\nThere's a sweet, sweet lullaby\n\nIn your mother's smile.\n\n\n\nOn my back I'll show you the sights\n\nThere's a rainbow in your eyes,\n\nThere's a sweet, sweet lullaby\n\nIn your mother's smile.\n\n\n\nHush, little baby, don't you cry\n\nI know a thing or two that will make you happy,\n\nIf you will only come with me.\n\n\n\nIn my bag there's a beautiful surprise,\n\nIf you will only come with me.\n\n\n\nOn my back I'll show you the sights\n\nThere's a rainbow in your eyes,\n\nThere's a sweet, sweet lullaby\n\nIn your mother's smile.\n\n\n\nIn my bag there's a beautiful surprise,\n\nIf you will only come with me.\n\n\n\nIf you will only come with me.\n\n\n\nOn my back I'll show you the sights\n\nThere's a rainbow in your eyes,\n\nThere's a sweet, sweet lullaby\n\nIn your mother's smile.\n\n\n\nIf you will only come with me.]" time="0.299"><properties><property name="score" value="0.0026515888" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Mileage : 19,038 (77,223)\n\n: 19,038 (77,223) Transmission : 4-Speed Automatic\n\n: 4-Speed Automatic Exterior Color : Green\n\n: Green Interior Color : Light Blue\n\n: Light Blue Engine : 351\n\n: 351 VIN : #B9QWL214742\n\n: #B9QWL214742 Stock Number : 96988\n\n: 96988 Fuel: Gasoline\n\n1954 Ford Crown Victoria\n\nThis Ford is a very nice car, we are selling it at a fraction of the cost of building it! The motor is a very desirable 351 V8 and is equipped with a nice sounding Holley 650 carburetor. It runs well and has plenty of power. The trans is an automatic C4 and shifts smooth. This Ford is in great shape, the only exterior rust that I could see was on the door bottoms and they are easy to replace. Interior is in very nice shape, new headliner, new seats, new carpet and a nice newer steering wheel. It has power brakes, power steering, air conditioning and power top. These cars are extremely rare to find in this condition and price. If your looking for a car that is cool and nice to drive then this is it.]" time="0.001"><properties><property name="score" value="0.0" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.0 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.0
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Create our team or join our team.\n\nIf you are an organization, brand, or personality and you want to take your show to the next level then get in touch! Email us at team@geekarmy.com and we will get right back to you.\n\nCreate a new Team\n\nSimply sign in with your username and password. If you do not have an account you can create one here.\n\nAfter signing in you will be able to create a new Team. You will be able to add a short name, a full name, a URL and a description. You will also be able to upload a logo for your team and a picture for the team members.\n\nEdit an existing Team\n\nSimply sign in with your username and password. If you do not have an account you can create one here.\n\nSelect the team you wish to edit from the My Teams page. From there you will be able to edit the team name, upload a new logo, a picture for the team members, and a URL and description. You will also be able to add members to your team.\n\nSearch for a team\n\nTo find a team click on the Teams Tab and you will be able to search by a number of different criteria including team name, brand name, member count, and popularity.\n\nAfter you find a team you are interested in, simply click the button at the top of the page to see more information about the team.\n\nJoin a team\n\nOnce you find a team you are interested in, simply click on the Join button and you will be taken to the join page. Here you will be able to apply to join the team.\n\nAfter you apply you will be sent a confirmation email. The email will contain a link for you to confirm your join request.\n\nAll of our applications are manually reviewed and you will be sent an email to notify you whether you have been approved or not.]" time="0.268"><properties><property name="score" value="0.023352776" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[John Mayer Just Made A Fool Of Himself In An Interview With The New York Times\n\nBy James Wilson-Taylor\n\n"We love to focus on my flaws and make them bigger than they are."\n\nJohn Mayer has come out fighting in a new interview with the New York Times, discussing a range of topics including the ghostwriting controversy, his upcoming tour with the Dead & Company and the end of the line for the John Mayer Trio.\n\nThe article details a frank conversation with the singer, in which he shares his honest thoughts on everything from his troubled past, to his use of social media, to the over-analytical nature of modern day music criticism.\n\nThe interview was conducted as a two-day workshop with NYU's music journalism department, which of course meant that the whole thing was promptly picked over by the internet on Tuesday night.\n\nHere's a selection of the choicest cuts:\n\nHis Vocal Fry Controversy:\n\n"The most controversial thing I\u2019ve done recently is affect a slightly looser, lower register on some songs, which I think makes the songs more interesting."\n\nOn Taking Himself Less Seriously:\n\n"I remember thinking I have a platform and I have a microphone and I have a position of power, so let me try to change some things, maybe for the better. And people did not like that. I remember having this conversation where somebody said to me, \u2018When you are perceived as yourself, people have a hard time relating to that.\u2019 And I said, \u2018I think you are misperceiving yourself to be someone who has a choice.\u2019 I\u2019m not saying this like, \u2018Hey, world, my message is this, and you\u2019re going to like it.\u2019 That\u2019s not what it\u2019s about. It\u2019s about the moment in which you are caught off guard, and you\u2019re on tour and you\u2019re not doing what you\u2019re supposed to be doing, but you\u2019re still getting a check."\n\nOn The Benefits Of Ghostwriting:\n\n"I don\u2019t have any beef with the world. I\u2019ve got a bunch of kids and a beautiful girlfriend and a house that I love and that\u2019s not an accident. And I\u2019ve worked for that and I\u2019ve gotten that because I\u2019m an easygoing guy who really enjoys life. And I\u2019ve always been super-vigilant about my ability to access joy."\n\nOn Being A 'Bubblegum Pop Star':\n\n"I was, for a very brief period of time, a bubblegum pop star. I was in the No. 1 pop band of the late-\u201990s, early 2000s. I\u2019ve had 18 or 19 top 10 songs. I have the right to call myself a singer, I guess. But I would never want to turn my back on being a guitar player and a songwriter. And the reason why is because I have a fan base that loves me for being a guitar player and a songwriter, and it\u2019s very separate from the people who like my pop songs."\n\nHis Concert Review Regrets:\n\n"I was like, \u2018Look, we\u2019re going to be under these bright lights, and it\u2019s going to be this one moment in time where we\u2019re going to play it for you. And we want to give you the most you can get for your dollar.\u2019 And then I think I had a bad couple of years. And I lost myself and tried to get myself back, and now I\u2019m playing shows where, like, I\u2019m not having a good time."\n\nOn Live Music Criticism:\n\n"I think we\u2019re overintellectualizing music. The discussion about music is so myopic and minuscule. \u2018He did this, and it\u2019s a disservice to this particular song.\u2019 And I\u2019m like, well, maybe you don\u2019t like this song. If you don\u2019t like it, just don\u2019t buy it. But that\u2019s not the way it works anymore. So I think we\u2019ve been eating the meat and spitting out the bones. You just want to get the marrow."\n\nThe New York Times concludes by highlighting the vocal coaching he undertook in 2015 in order to overcome his vocal issues:\n\n"I went and saw a vocal coach who I had seen when I was on my 'John Mayer's Journey Continues' world tour. She was a big hero of mine. She\u2019s the one who said to me, 'John, you just don\u2019t like how you sound. Why don\u2019t you do something about it?' I said, 'I can\u2019t afford to do anything about it.\u2019 She said, 'That\u2019s not true.\u2019 "\n\nWatch our video of John's recent live cover of 'A Hard Day's Night' here:]" time="0.301"><properties><property name="score" value="0.019235214" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.01923521 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.01923521
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[COLD SPRING, Ky. (WKYT) - The Kentucky Department of Fish and Wildlife Resources says an investigation into the shooting of a horse at the Country Pleasures horse farm has been completed.\n\nAccording to KDFWR, a citation has been issued to a person involved in the incident. The citation will be mailed to the person's last known address. The citation is for the willful waste of wildlife.\n\nThe investigation by KDFWR has revealed that on June 11th, 2013, three horses were shot on a farm off of Logan Road in Bath County. One horse, a white and gray Paint Mare was found dead. The mare, named "Sissy," had a history of being aggressive towards other horses. A chest wound indicated the horse had been shot at close range.\n\nThe second horse, a dark brown and white mare named "Bonnie," had been shot in the rump. Bonnie was treated by a veterinarian for the wound, and released. The third horse, a dark brown and white gelding named "Ghost," had a wound on his shoulder. He was treated by a veterinarian and released.\n\nKDFWR says the investigation concluded that the shooting of the horses was accidental.\n\nKDFWR says no additional charges will be filed in this case.]" time="0.308"><properties><property name="score" value="0.15971425" /></properties></testcase><testcase classname="test_openai_detect" name="test_gpt3_jsonl[Please enable Javascript to watch this video\n\nST. CHARLES, MO (KPLR) - The now former police chief of St. Charles has been arrested for drunk driving. A spokesperson for the St. Charles Police Department says Officer Robert Hertzell was on duty and was driving a marked police vehicle.\n\nSt. Charles Police Chief David Kinkead has put Hertzell on unpaid administrative leave and has initiated an internal investigation.\n\nSt. Charles Mayor Sally Faith says Hertzell will remain on unpaid leave until the investigation is complete.\n\nChief Kinkead released a statement saying, \u201cI was very disappointed to learn about this incident. As a police chief, I hold myself and my command staff to the highest standard. I expect my officers to be role models and to demonstrate professionalism and respect. We have a lot of hard working men and women in the St. Charles Police Department and they are to be commended for their work on a daily basis. The actions of one officer, however, is not reflective of the entire command staff or the great work that our officers perform each day. We must continue to move forward with the work that we have been doing to create a safe and vibrant community for all of our residents and visitors.\u201d\n\nHertzell has been with the St. Charles Police Department since 1995.]" time="0.315"><properties><property name="score" value="0.24069703" /></properties><failure message="AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.24069703 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/GPT-3-175b_samples.jsonl is an LLM-generated sample, misclassified as human-generated with confidence 0.24069703
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i0]" time="0.264"><properties><property name="score" value="0.0006882656" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i1]" time="0.269"><properties><property name="score" value="0.023728553" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i2]" time="0.263"><properties><property name="score" value="0.0038540922" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i3]" time="0.254"><properties><property name="score" value="0.0005885433" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i4]" time="0.274"><properties><property name="score" value="0.14632107" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i5]" time="0.348"><properties><property name="score" value="0.0031564168" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i6]" time="0.293"><properties><property name="score" value="0.00072351756" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i7]" time="0.293"><properties><property name="score" value="0.0005744072" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i8]" time="0.274"><properties><property name="score" value="0.0027960476" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i9]" time="0.302"><properties><property name="score" value="0.003630932" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i10]" time="0.276"><properties><property name="score" value="0.0020212224" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i11]" time="0.269"><properties><property name="score" value="0.025957119" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i12]" time="0.268"><properties><property name="score" value="0.8380261" /></properties><failure message="AssertionError: samples/news.jsonl is a human-generated sample, misclassified as AI-generated with confidence 0.8380261 assert 'AI' == 'Human' - Human + AI">E AssertionError: samples/news.jsonl is a human-generated sample, misclassified as AI-generated with confidence 0.8380261
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i13]" time="0.307"><properties><property name="score" value="0.002555196" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i14]" time="0.259"><properties><property name="score" value="4.5326657" /></properties><failure message="AssertionError: samples/news.jsonl is a human-generated sample, misclassified as AI-generated with confidence 4.5326657 assert 'AI' == 'Human' - Human + AI">E AssertionError: samples/news.jsonl is a human-generated sample, misclassified as AI-generated with confidence 4.5326657
|
|
assert 'AI' == 'Human'
|
|
- Human
|
|
+ AI</failure></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i15]" time="0.301"><properties><property name="score" value="0.0006028587" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i16]" time="0.296"><properties><property name="score" value="0.008729441" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i17]" time="0.280"><properties><property name="score" value="0.15942355" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i18]" time="0.337"><properties><property name="score" value="0.0009092193" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i19]" time="0.291"><properties><property name="score" value="0.0022868593" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i20]" time="0.314"><properties><property name="score" value="0.00209242" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i21]" time="0.269"><properties><property name="score" value="0.0009527098" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i22]" time="0.305"><properties><property name="score" value="0.009404838" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i23]" time="0.294"><properties><property name="score" value="0.019059809" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i24]" time="0.291"><properties><property name="score" value="0.012301062" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i25]" time="0.264"><properties><property name="score" value="0.08068889" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i26]" time="0.296"><properties><property name="score" value="0.0046342295" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i27]" time="0.273"><properties><property name="score" value="0.005632478" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i28]" time="0.324"><properties><property name="score" value="0.016161133" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i29]" time="0.291"><properties><property name="score" value="0.006253666" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i30]" time="0.331"><properties><property name="score" value="0.0027285062" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i31]" time="0.279"><properties><property name="score" value="0.0195023" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i32]" time="0.267"><properties><property name="score" value="0.0011159552" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i33]" time="0.283"><properties><property name="score" value="0.0026707135" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i34]" time="0.292"><properties><property name="score" value="0.00575351" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i35]" time="0.277"><properties><property name="score" value="0.0041101" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i36]" time="0.274"><properties><property name="score" value="0.004221068" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i37]" time="0.327"><properties><property name="score" value="0.005015392" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i38]" time="0.293"><properties><property name="score" value="0.001789218" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i39]" time="0.274"><properties><property name="score" value="0.087381765" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i40]" time="0.298"><properties><property name="score" value="0.030474247" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i41]" time="0.320"><properties><property name="score" value="0.28830934" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i42]" time="0.273"><properties><property name="score" value="0.004929909" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i43]" time="0.310"><properties><property name="score" value="0.0009132752" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i44]" time="0.324"><properties><property name="score" value="0.099042326" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i45]" time="0.308"><properties><property name="score" value="0.011950413" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i46]" time="0.294"><properties><property name="score" value="0.045277353" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i47]" time="0.357"><properties><property name="score" value="0.0024810978" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i48]" time="0.253"><properties><property name="score" value="0.012599862" /></properties></testcase><testcase classname="test_openai_detect" name="test_humannews_jsonl[i49]" time="0.256"><properties><property name="score" value="0.0005457812" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i0]" time="0.517"><properties><property name="score" value="0.6407607" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.6407607 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.6407607
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i1]" time="0.288"><properties><property name="score" value="0.11353426" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.11353426 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.11353426
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i2]" time="0.265"><properties><property name="score" value="0.70354074" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i3]" time="0.286"><properties><property name="score" value="0.04806723" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.04806723 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.04806723
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i4]" time="0.301"><properties><property name="score" value="0.36321127" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.36321127 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.36321127
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i5]" time="0.283"><properties><property name="score" value="0.0095457" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.0095457 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.0095457
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i6]" time="0.265"><properties><property name="score" value="0.0215069" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.0215069 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.0215069
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i7]" time="0.261"><properties><property name="score" value="1.5955715" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 1.5955715 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 1.5955715
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i8]" time="0.286"><properties><property name="score" value="0.058983378" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.05898338 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.05898338
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i9]" time="0.390"><properties><property name="score" value="0.026331069" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i10]" time="0.327"><properties><property name="score" value="1.7807574" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i11]" time="0.282"><properties><property name="score" value="1.436988" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i12]" time="0.285"><properties><property name="score" value="0.6861498" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.6861498 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.6861498
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i13]" time="0.303"><properties><property name="score" value="0.276335" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.276335 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.276335
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i14]" time="0.301"><properties><property name="score" value="0.046819586" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i15]" time="0.294"><properties><property name="score" value="0.1492504" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.1492504 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.1492504
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i16]" time="0.274"><properties><property name="score" value="0.08762684" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.08762684 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.08762684
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i17]" time="0.248"><properties><property name="score" value="0.05095227" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i18]" time="0.297"><properties><property name="score" value="0.044282496" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.0442825 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.0442825
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i19]" time="0.280"><properties><property name="score" value="0.39183295" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.39183295 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.39183295
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i20]" time="0.260"><properties><property name="score" value="0.8971484" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i21]" time="0.345"><properties><property name="score" value="0.07236506" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.07236506 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.07236506
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i22]" time="0.319"><properties><property name="score" value="0.94346935" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.94346935 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.94346935
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i23]" time="0.277"><properties><property name="score" value="0.046145044" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.04614504 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.04614504
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i24]" time="0.268"><properties><property name="score" value="0.6602535" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i25]" time="0.296"><properties><property name="score" value="0.3190322" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.3190322 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.3190322
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i26]" time="0.276"><properties><property name="score" value="0.011968209" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.01196821 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.01196821
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i27]" time="0.309"><properties><property name="score" value="1.6761093" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 1.6761093 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 1.6761093
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i28]" time="0.291"><properties><property name="score" value="0.056436226" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.05643623 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.05643623
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i29]" time="0.257"><properties><property name="score" value="0.11400924" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.11400924 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.11400924
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i30]" time="0.264"><properties><property name="score" value="0.3614792" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i31]" time="0.404"><properties><property name="score" value="1.6430492" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i32]" time="0.298"><properties><property name="score" value="0.06332622" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.06332622 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.06332622
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i33]" time="0.299"><properties><property name="score" value="0.22254996" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.22254996 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.22254996
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i34]" time="0.294"><properties><property name="score" value="0.17640354" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i35]" time="0.358"><properties><property name="score" value="0.1170823" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.1170823 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.1170823
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i36]" time="0.286"><properties><property name="score" value="0.04161354" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.04161354 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.04161354
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i37]" time="0.327"><properties><property name="score" value="0.031258754" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.03125875 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.03125875
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i38]" time="0.285"><properties><property name="score" value="0.044318885" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.04431889 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.04431889
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i39]" time="0.251"><properties><property name="score" value="0.31036216" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i40]" time="0.291"><properties><property name="score" value="0.038410407" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i41]" time="0.273"><properties><property name="score" value="0.73070234" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i42]" time="0.309"><properties><property name="score" value="0.42040336" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.42040336 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.42040336
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i43]" time="1.426"><properties><property name="score" value="0.10604124" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.10604124 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.10604124
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i44]" time="0.297"><properties><property name="score" value="0.7222017" /></properties></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i45]" time="0.281"><properties><property name="score" value="1.3114026" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 1.3114026 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 1.3114026
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i46]" time="0.275"><properties><property name="score" value="0.5340602" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.5340602 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.5340602
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i47]" time="0.275"><properties><property name="score" value="0.4017687" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.4017687 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.4017687
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i48]" time="0.294"><properties><property name="score" value="0.21801458" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.21801458 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.21801458
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase><testcase classname="test_openai_detect" name="test_chatgptnews_jsonl[i49]" time="0.299"><properties><property name="score" value="0.024958072" /></properties><failure message="AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.02495807 assert 'Human' == 'AI' - AI + Human">E AssertionError: samples/news.jsonl is a AI-generated sample, misclassified as human-generated with confidence 0.02495807
|
|
assert 'Human' == 'AI'
|
|
- AI
|
|
+ Human</failure></testcase></testsuite></testsuites> |