Evaluation Dataset;Subset;Contaminated Source;Model or corpus;Train Split;Development Split;Test Split;Approach;Reference;PR gsm8k;;GPT-4;model;79.00;;;model-based;https://arxiv.org/abs/2311.06233;8 ucinlp/drop;;GPT-4;model;;44.00;;model-based;https://arxiv.org/abs/2311.06233;8 openai_humaneval;;GPT-4;model;;;56.71;model-based;https://arxiv.org/abs/2311.06233;8 imdb;;GPT-4;model;;;82.00;model-based;https://arxiv.org/abs/2311.06233;8 imdb;;GPT-3.5;model;;;55.00;model-based;https://arxiv.org/abs/2311.06233;8 ag_news;;GPT-4;model;;;91.00;model-based;https://arxiv.org/abs/2311.06233;8 ag_news;;GPT-3.5;model;;;82.00;model-based;https://arxiv.org/abs/2311.06233;8 yelp_review_full;;GPT-4;model;;;80.00;model-based;https://arxiv.org/abs/2311.06233;8 yelp_review_full;;GPT-3.5;model;;;13.00;model-based;https://arxiv.org/abs/2311.06233;8 nyu-mll/glue;rte;GPT-4;model;;60.00;;model-based;https://arxiv.org/abs/2311.06233;8 nyu-mll/glue;rte;GPT-3.5;model;;71.00;;model-based;https://arxiv.org/abs/2311.06233;8 nyu-mll/glue;wnli;GPT-4;model;;50.70;;model-based;https://arxiv.org/abs/2311.06233;8 nyu-mll/glue;wnli;GPT-3.5;model;;12.68;;model-based;https://arxiv.org/abs/2311.06233;8 samsum;;GPT-4;model;;;77.00;model-based;https://arxiv.org/abs/2311.06233;8 samsum;;GPT-3.5;model;;;74.00;model-based;https://arxiv.org/abs/2311.06233;8 EdinburghNLP/xsum;;GPT-4;model;;;95.00;model-based;https://arxiv.org/abs/2311.06233;8 EdinburghNLP/xsum;;GPT-3.5;model;;;79.00;model-based;https://arxiv.org/abs/2311.06233;8 allenai/ai2_arc;;CommonCrawl;corpus;;;28.7;data-based;https://arxiv.org/abs/2310.17589;5 tau/commonsense_qa;;CommonCrawl;corpus;;1.6;;data-based;https://arxiv.org/abs/2310.17589;5 winogrande;;CommonCrawl;corpus;;1.1;;data-based;https://arxiv.org/abs/2310.17589;5 ceval/ceval-exam;;CommonCrawl;corpus;;45.8;;data-based;https://arxiv.org/abs/2310.17589;5 Rowan/hellaswag;;CommonCrawl;corpus;;12.4;;data-based;https://arxiv.org/abs/2310.17589;5 cais/mmlu;;CommonCrawl;corpus;;;29.1;data-based;https://arxiv.org/abs/2310.17589;5 conll2003;;GPT-3.5;model;100.0;100.0;100.0;model-based;https://hitz-zentroa.github.io/lm-contamination/blog/;7 nyu-mll/glue;mnli;GPT-3.5;model;100.0;100.0;;model-based;https://hitz-zentroa.github.io/lm-contamination/blog/;7 rajpurkar/squad_v2;;GPT-3.5;model;100.0;100.0;;model-based;https://hitz-zentroa.github.io/lm-contamination/blog/;7 lama;T-REx;allenai/c4;corpus;;;4.6;data-based;https://arxiv.org/abs/2104.08758;6 lama;Google-RE;allenai/c4;corpus;;;5.7;data-based;https://arxiv.org/abs/2104.08758;6 EdinburghNLP/xsum;;allenai/c4;corpus;;;15.49;data-based;https://arxiv.org/abs/2104.08758;6 reddit_tifu;short;allenai/c4;corpus;;;24.88;data-based;https://arxiv.org/abs/2104.08758;6 reddit_tifu;long;allenai/c4;corpus;;;1.87;data-based;https://arxiv.org/abs/2104.08758;6 wiki_bio;;allenai/c4;corpus;;;3.72;data-based;https://arxiv.org/abs/2104.08758;6 AMR-to-Text;;allenai/c4;corpus;;;10.43;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;BoolQ;allenai/c4;corpus;;;2.4;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;CoLA;allenai/c4;corpus;;;14.4;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;MNLI-hypothesis;allenai/c4;corpus;;;14.2;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;MNLI-premise;allenai/c4;corpus;;;15.2;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;MRPC-sentence-1;allenai/c4;corpus;;;2.7;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;MRPC-sentence-2;allenai/c4;corpus;;;2.7;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;QNLI-sentence;allenai/c4;corpus;;;53.6;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;QNLI-question;allenai/c4;corpus;;;1.8;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;RTE-sentence-1;allenai/c4;corpus;;;6;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;RTE-sentence-2;allenai/c4;corpus;;;10.8;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;SST-2;allenai/c4;corpus;;;11;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;STS-B-sentence-1;allenai/c4;corpus;;;18.3;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;STS-B-sentence-2;allenai/c4;corpus;;;18.6;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;WNLI-sentence-1;allenai/c4;corpus;;;4.8;data-based;https://arxiv.org/abs/2104.08758;6 nyu-mll/glue;WNLI-sentence-2;allenai/c4;corpus;;;2.1;data-based;https://arxiv.org/abs/2104.08758;6 UCLNLP/adversarial_qa;adversarialQA;allenai/c4;corpus;;;0.03;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;adversarialQA;oscar-corpus/OSCAR-2301;corpus;;;0.03;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;adversarialQA;EleutherAI/pile;corpus;;;0.03;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;adversarialQA;togethercomputer/RedPajama-Data-V2;corpus;;;0.03;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;dbert;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;dbert;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;dbert;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;dbert;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;dbidaf;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;dbidaf;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;dbidaf;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;dbidaf;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;droberta;allenai/c4;corpus;;;0.1;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;droberta;oscar-corpus/OSCAR-2301;corpus;;;0.1;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;droberta;EleutherAI/pile;corpus;;;0.1;data-based;https://arxiv.org/abs/2310.20707;2 UCLNLP/adversarial_qa;droberta;togethercomputer/RedPajama-Data-V2;corpus;;;0.1;data-based;https://arxiv.org/abs/2310.20707;2 aeslc;;allenai/c4;corpus;;;1.57;data-based;https://arxiv.org/abs/2310.20707;2 aeslc;;oscar-corpus/OSCAR-2301;corpus;;;0.31;data-based;https://arxiv.org/abs/2310.20707;2 aeslc;;EleutherAI/pile;corpus;;;45.49;data-based;https://arxiv.org/abs/2310.20707;2 aeslc;;togethercomputer/RedPajama-Data-V2;corpus;;;0.1;data-based;https://arxiv.org/abs/2310.20707;2 amazon_reviews_multi;;allenai/c4;corpus;;;2.28;data-based;https://arxiv.org/abs/2310.20707;2 amazon_reviews_multi;;oscar-corpus/OSCAR-2301;corpus;;;2.1;data-based;https://arxiv.org/abs/2310.20707;2 amazon_reviews_multi;;EleutherAI/pile;corpus;;;1.48;data-based;https://arxiv.org/abs/2310.20707;2 amazon_reviews_multi;;togethercomputer/RedPajama-Data-V2;corpus;;;2.06;data-based;https://arxiv.org/abs/2310.20707;2 billsum;;allenai/c4;corpus;;;0.06;data-based;https://arxiv.org/abs/2310.20707;2 billsum;;oscar-corpus/OSCAR-2301;corpus;;;0.06;data-based;https://arxiv.org/abs/2310.20707;2 billsum;;EleutherAI/pile;corpus;;;0.03;data-based;https://arxiv.org/abs/2310.20707;2 billsum;;togethercomputer/RedPajama-Data-V2;corpus;;;0.06;data-based;https://arxiv.org/abs/2310.20707;2 cosmos_qa;;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 cosmos_qa;;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 cosmos_qa;;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 cosmos_qa;;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 crows_pairs;;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 crows_pairs;;oscar-corpus/OSCAR-2301;corpus;;;0.2;data-based;https://arxiv.org/abs/2310.20707;2 crows_pairs;;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 crows_pairs;;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 ibm/duorc;ParaphraseRC;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 ibm/duorc;ParaphraseRC;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 ibm/duorc;ParaphraseRC;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 ibm/duorc;ParaphraseRC;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 ibm/duorc;SelfRC;allenai/c4;corpus;;;0.01;data-based;https://arxiv.org/abs/2310.20707;2 ibm/duorc;SelfRC;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 ibm/duorc;SelfRC;EleutherAI/pile;corpus;;;0.02;data-based;https://arxiv.org/abs/2310.20707;2 ibm/duorc;SelfRC;togethercomputer/RedPajama-Data-V2;corpus;;;0.02;data-based;https://arxiv.org/abs/2310.20707;2 esnli;;allenai/c4;corpus;;;0.04;data-based;https://arxiv.org/abs/2310.20707;2 esnli;;oscar-corpus/OSCAR-2301;corpus;;;0.08;data-based;https://arxiv.org/abs/2310.20707;2 esnli;;EleutherAI/pile;corpus;;;1.13;data-based;https://arxiv.org/abs/2310.20707;2 esnli;;togethercomputer/RedPajama-Data-V2;corpus;;;1.24;data-based;https://arxiv.org/abs/2310.20707;2 gigaword;;allenai/c4;corpus;;;0.15;data-based;https://arxiv.org/abs/2310.20707;2 gigaword;;oscar-corpus/OSCAR-2301;corpus;;;0.36;data-based;https://arxiv.org/abs/2310.20707;2 gigaword;;EleutherAI/pile;corpus;;;1.18;data-based;https://arxiv.org/abs/2310.20707;2 gigaword;;togethercomputer/RedPajama-Data-V2;corpus;;;2.82;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;ax;allenai/c4;corpus;;;1.99;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;ax;oscar-corpus/OSCAR-2301;corpus;;;1.45;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;ax;EleutherAI/pile;corpus;;;5.07;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;ax;togethercomputer/RedPajama-Data-V2;corpus;;;6.16;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;mnli-matched;allenai/c4;corpus;;;1.65;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;mnli-matched;oscar-corpus/OSCAR-2301;corpus;;;1.77;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;mnli-matched;EleutherAI/pile;corpus;;;2.17;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;mnli-matched;togethercomputer/RedPajama-Data-V2;corpus;;;2.26;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;mnli-mismatched;allenai/c4;corpus;;;1.73;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;mnli-mismatched;oscar-corpus/OSCAR-2301;corpus;;;1.91;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;mnli-mismatched;EleutherAI/pile;corpus;;;2.11;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;mnli-mismatched;togethercomputer/RedPajama-Data-V2;corpus;;;2.17;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;mrpc;allenai/c4;corpus;;;0.06;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;mrpc;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;mrpc;EleutherAI/pile;corpus;;;0.64;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;mrpc;togethercomputer/RedPajama-Data-V2;corpus;;;1.16;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;qnli;allenai/c4;corpus;;;0.13;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;qnli;oscar-corpus/OSCAR-2301;corpus;;;0.04;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;qnli;EleutherAI/pile;corpus;;;1.48;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;qnli;togethercomputer/RedPajama-Data-V2;corpus;;;1.21;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;rte;allenai/c4;corpus;;;0.2;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;rte;oscar-corpus/OSCAR-2301;corpus;;;0.17;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;rte;EleutherAI/pile;corpus;;;0.13;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;rte;togethercomputer/RedPajama-Data-V2;corpus;;;67.47;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;stsb;allenai/c4;corpus;;;3.48;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;stsb;oscar-corpus/OSCAR-2301;corpus;;;3.12;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;stsb;EleutherAI/pile;corpus;;;11.09;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;stsb;togethercomputer/RedPajama-Data-V2;corpus;;;9.86;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;wnli;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;wnli;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;wnli;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 nyu-mll/glue;wnli;togethercomputer/RedPajama-Data-V2;corpus;;;2.05;data-based;https://arxiv.org/abs/2310.20707;2 head_qa;en;allenai/c4;corpus;;;5.22;data-based;https://arxiv.org/abs/2310.20707;2 head_qa;en;oscar-corpus/OSCAR-2301;corpus;;;5.29;data-based;https://arxiv.org/abs/2310.20707;2 head_qa;en;EleutherAI/pile;corpus;;;5.11;data-based;https://arxiv.org/abs/2310.20707;2 head_qa;en;togethercomputer/RedPajama-Data-V2;corpus;;;5.94;data-based;https://arxiv.org/abs/2310.20707;2 health_fact;;allenai/c4;corpus;;;7.53;data-based;https://arxiv.org/abs/2310.20707;2 health_fact;;oscar-corpus/OSCAR-2301;corpus;;;3.4;data-based;https://arxiv.org/abs/2310.20707;2 health_fact;;EleutherAI/pile;corpus;;;1.94;data-based;https://arxiv.org/abs/2310.20707;2 health_fact;;togethercomputer/RedPajama-Data-V2;corpus;;;18.7;data-based;https://arxiv.org/abs/2310.20707;2 hlgd;;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 hlgd;;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 hlgd;;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 hlgd;;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 liar;;allenai/c4;corpus;;;29.23;data-based;https://arxiv.org/abs/2310.20707;2 liar;;oscar-corpus/OSCAR-2301;corpus;;;13.95;data-based;https://arxiv.org/abs/2310.20707;2 liar;;EleutherAI/pile;corpus;;;10.91;data-based;https://arxiv.org/abs/2310.20707;2 liar;;togethercomputer/RedPajama-Data-V2;corpus;;;45.05;data-based;https://arxiv.org/abs/2310.20707;2 math_dataset;algebra__linear_1d;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 math_dataset;algebra__linear_1d;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 math_dataset;algebra__linear_1d;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 math_dataset;algebra__linear_1d;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 math_dataset;algebra__linear_2d;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 math_dataset;algebra__linear_2d;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 math_dataset;algebra__linear_2d;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 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zest;;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 zest;;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2 imdb;;GPT-4;model;100.0;;0.0;model-based;https://arxiv.org/abs/2308.08493;3 imdb;;GPT-3.5;model;0.0;;0.0;model-based;https://arxiv.org/abs/2308.08493;3 ag_news;;GPT-4;model;100.0;;100.0;model-based;https://arxiv.org/abs/2308.08493;3 ag_news;;GPT-3.5;model;0.0;;0.0;model-based;https://arxiv.org/abs/2308.08493;3 yelp_review_full;;GPT-4;model;0.0;;0.0;model-based;https://arxiv.org/abs/2308.08493;3 yelp_review_full;;GPT-3.5;model;0.0;;0.0;model-based;https://arxiv.org/abs/2308.08493;3 nyu-mll/glue;rte;GPT-4;model;100.0;;0.0;model-based;https://arxiv.org/abs/2308.08493;3 nyu-mll/glue;rte;GPT-3.5;model;0.0;;0.0;model-based;https://arxiv.org/abs/2308.08493;3 nyu-mll/glue;wnli;GPT-4;model;100.0;;100.0;model-based;https://arxiv.org/abs/2308.08493;3 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openai_humaneval;;EleutherAI/pile;corpus;;;12.2;data-based;https://arxiv.org/abs/2403.04811;12 mbpp;;EleutherAI/pile;corpus;;;3.6;data-based;https://arxiv.org/abs/2403.04811;12 openai_humaneval;;bigcode/the-stack;corpus;;;18.9;data-based;https://arxiv.org/abs/2403.04811;12 mbpp;;bigcode/the-stack;corpus;;;20.8;data-based;https://arxiv.org/abs/2403.04811;12 quac;;GPT-3;model;;99.0;;data-based;https://arxiv.org/abs/2005.14165;13 rajpurkar/squad_v2;;GPT-3;model;;94.0;;data-based;https://arxiv.org/abs/2005.14165;13 ucinlp/drop;;GPT-3;model;;93.0;;data-based;https://arxiv.org/abs/2005.14165;13 Symbol Insertion;;GPT-3;model;;86.0;;data-based;https://arxiv.org/abs/2005.14165;13 stanfordnlp/coqa;;GPT-3;model;;64.0;;data-based;https://arxiv.org/abs/2005.14165;13 super_glue;record;GPT-3;model;;61.0;;data-based;https://arxiv.org/abs/2005.14165;13 winograd_wsc;;GPT-3;model;;;60.0;data-based;https://arxiv.org/abs/2005.14165;13 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facebook/anli;test_r1;GPT-3;model;;;20.0;data-based;https://arxiv.org/abs/2005.14165;13 facebook/anli;test_r2;GPT-3;model;;;18.0;data-based;https://arxiv.org/abs/2005.14165;13 mandarjoshi/trivia_qa;;GPT-3;model;;17.0;;data-based;https://arxiv.org/abs/2005.14165;13 facebook/anli;test_r3;GPT-3;model;;;16.0;data-based;https://arxiv.org/abs/2005.14165;13 wmt/wmt16;fr-en;GPT-3;model;;;14.0;data-based;https://arxiv.org/abs/2005.14165;13 wmt/wmt16;en-fr;GPT-3;model;;;14.0;data-based;https://arxiv.org/abs/2005.14165;13 super_glue;rte;GPT-3;model;;8.0;;data-based;https://arxiv.org/abs/2005.14165;13 super_glue;wic;GPT-3;model;;8.0;;data-based;https://arxiv.org/abs/2005.14165;13 super_glue;cb;GPT-3;model;;7.0;;data-based;https://arxiv.org/abs/2005.14165;13 Reversed Words;;GPT-3;model;;7.0;;data-based;https://arxiv.org/abs/2005.14165;13 Anagrams 2;;GPT-3;model;;7.0;;data-based;https://arxiv.org/abs/2005.14165;13 allenai/openbookqa;;GPT-3;model;;;6.0;data-based;https://arxiv.org/abs/2005.14165;13 ibragim-bad/arc_easy;;GPT-3;model;;;4.0;data-based;https://arxiv.org/abs/2005.14165;13 Anagrams 1;;GPT-3;model;;3.0;;data-based;https://arxiv.org/abs/2005.14165;13 ibragim-bad/arc_challenge;;GPT-3;model;;;3.0;data-based;https://arxiv.org/abs/2005.14165;13 super_glue;copa;GPT-3;model;;3.0;;data-based;https://arxiv.org/abs/2005.14165;13 Rowan/hellaswag;;GPT-3;model;;2.0;;data-based;https://arxiv.org/abs/2005.14165;13 natural_questions;;GPT-3;model;;;1.0;data-based;https://arxiv.org/abs/2005.14165;13 Cycled Letters;;GPT-3;model;;1.0;;data-based;https://arxiv.org/abs/2005.14165;13 SAT Analogies;;GPT-3;model;;1.0;;data-based;https://arxiv.org/abs/2005.14165;13 EdinburghNLP/xsum;;PaLM 2;model;;;42.0;data-based;https://arxiv.org/abs/2305.10403;13 csebuetnlp/xlsum;;PaLM 2;model;;;46.9;data-based;https://arxiv.org/abs/2305.10403;13 wiki_lingua;;PaLM 2;model;;;9.0;data-based;https://arxiv.org/abs/2305.10403;13 winograd_wsc;;PaLM;model;;;38.5;data-based;https://arxiv.org/abs/2204.02311;13 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facebook/anli;dev_r1;GLaM;model;;96.2;;data-based;https://arxiv.org/abs/2112.06905;13 winogrande;;FLAN;model;;;0.2;data-based;https://arxiv.org/abs/2109.01652;13 mandarjoshi/trivia_qa;;FLAN;model;;22.8;;data-based;https://arxiv.org/abs/2109.01652;13 story_cloze;;FLAN;model;;0.4;;data-based;https://arxiv.org/abs/2109.01652;13 rajpurkar/squad_v2;;FLAN;model;;99.1;;data-based;https://arxiv.org/abs/2109.01652;13 wmt/wmt16;ro-en;FLAN;model;;;12.4;data-based;https://arxiv.org/abs/2109.01652;13 super_glue;record;FLAN;model;;68.0;;data-based;https://arxiv.org/abs/2109.01652;13 super_glue;rte;FLAN;model;;33.9;;data-based;https://arxiv.org/abs/2109.01652;13 piqa;;FLAN;model;;51.3;;data-based;https://arxiv.org/abs/2109.01652;13 allenai/openbookqa;;FLAN;model;;15.0;;data-based;https://arxiv.org/abs/2109.01652;13 natural_questions;;FLAN;model;;3.2;;data-based;https://arxiv.org/abs/2109.01652;13 super_glue;multirc;FLAN;model;;59.3;;data-based;https://arxiv.org/abs/2109.01652;13 Rowan/hellaswag;;FLAN;model;;34.5;;data-based;https://arxiv.org/abs/2109.01652;13 wmt/wmt16;fr-en;FLAN;model;;;25.3;data-based;https://arxiv.org/abs/2109.01652;13 wmt/wmt16;en-ro;FLAN;model;;;12.4;data-based;https://arxiv.org/abs/2109.01652;13 wmt/wmt16;en-fr;FLAN;model;;;25.3;data-based;https://arxiv.org/abs/2109.01652;13 wmt/wmt16;en-de;FLAN;model;;;14.3;data-based;https://arxiv.org/abs/2109.01652;13 wmt/wmt16;de-en;FLAN;model;;;14.3;data-based;https://arxiv.org/abs/2109.01652;13 ucinlp/drop;;FLAN;model;;99.4;;data-based;https://arxiv.org/abs/2109.01652;13 super_glue;copa;FLAN;model;;9.0;;data-based;https://arxiv.org/abs/2109.01652;13 super_glue;cb;FLAN;model;;5.4;;data-based;https://arxiv.org/abs/2109.01652;13 super_glue;boolq;FLAN;model;;23.1;;data-based;https://arxiv.org/abs/2109.01652;13 ibragim-bad/arc_easy;;FLAN;model;;20.2;;data-based;https://arxiv.org/abs/2109.01652;13 ibragim-bad/arc_challenge;;FLAN;model;;15.6;;data-based;https://arxiv.org/abs/2109.01652;13 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