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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
openai_humaneval;;GPT-3.5-turbo/0613;model;;;23.79;model-based;https://arxiv.org/abs/2402.15938;16
openai_humaneval;;GPT-3.5-turbo/1106;model;;;41.47;model-based;https://arxiv.org/abs/2402.15938;16
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
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math_dataset;algebra__linear_2d;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
math_dataset;algebra__linear_2d;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
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math_dataset;algebra__linear_2d_composed;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
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super_glue;copa;togethercomputer/RedPajama-Data-V2;corpus;;;100.0;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;multirc;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;multirc;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;multirc;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;multirc;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;record;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;record;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;record;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;record;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;rte;allenai/c4;corpus;;;0.2;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;rte;oscar-corpus/OSCAR-2301;corpus;;;0.17;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;rte;EleutherAI/pile;corpus;;;0.13;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;rte;togethercomputer/RedPajama-Data-V2;corpus;;;67.47;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;wic;allenai/c4;corpus;;;64.43;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;wic;oscar-corpus/OSCAR-2301;corpus;;;49.43;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;wic;EleutherAI/pile;corpus;;;18.57;data-based;https://arxiv.org/abs/2310.20707;2
super_glue;wic;togethercomputer/RedPajama-Data-V2;corpus;;;60.21;data-based;https://arxiv.org/abs/2310.20707;2
swag;regular;allenai/c4;corpus;;;2.48;data-based;https://arxiv.org/abs/2310.20707;2
swag;regular;oscar-corpus/OSCAR-2301;corpus;;;1.65;data-based;https://arxiv.org/abs/2310.20707;2
swag;regular;EleutherAI/pile;corpus;;;2.21;data-based;https://arxiv.org/abs/2310.20707;2
swag;regular;togethercomputer/RedPajama-Data-V2;corpus;;;2.79;data-based;https://arxiv.org/abs/2310.20707;2
tab_fact;tab_fact;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
tab_fact;tab_fact;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
tab_fact;tab_fact;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
tab_fact;tab_fact;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
wiki_qa;;allenai/c4;corpus;;;0.24;data-based;https://arxiv.org/abs/2310.20707;2
wiki_qa;;oscar-corpus/OSCAR-2301;corpus;;;0.18;data-based;https://arxiv.org/abs/2310.20707;2
wiki_qa;;EleutherAI/pile;corpus;;;0.19;data-based;https://arxiv.org/abs/2310.20707;2
wiki_qa;;togethercomputer/RedPajama-Data-V2;corpus;;;0.91;data-based;https://arxiv.org/abs/2310.20707;2
winograd_wsc;wsc273;allenai/c4;corpus;;;29.3;data-based;https://arxiv.org/abs/2310.20707;2
winograd_wsc;wsc273;oscar-corpus/OSCAR-2301;corpus;;;30.4;data-based;https://arxiv.org/abs/2310.20707;2
winograd_wsc;wsc273;EleutherAI/pile;corpus;;;32.23;data-based;https://arxiv.org/abs/2310.20707;2
winograd_wsc;wsc273;togethercomputer/RedPajama-Data-V2;corpus;;;58.24;data-based;https://arxiv.org/abs/2310.20707;2
winogrande;winogrande_xl;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
winogrande;winogrande_xl;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
winogrande;winogrande_xl;EleutherAI/pile;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
winogrande;winogrande_xl;togethercomputer/RedPajama-Data-V2;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
xnli;en;allenai/c4;corpus;;;0.12;data-based;https://arxiv.org/abs/2310.20707;2
xnli;en;oscar-corpus/OSCAR-2301;corpus;;;0.24;data-based;https://arxiv.org/abs/2310.20707;2
xnli;en;EleutherAI/pile;corpus;;;0.36;data-based;https://arxiv.org/abs/2310.20707;2
xnli;en;togethercomputer/RedPajama-Data-V2;corpus;;;0.44;data-based;https://arxiv.org/abs/2310.20707;2
xsum;;allenai/c4;corpus;;;2.13;data-based;https://arxiv.org/abs/2310.20707;2
xsum;;oscar-corpus/OSCAR-2301;corpus;;;0.13;data-based;https://arxiv.org/abs/2310.20707;2
xsum;;EleutherAI/pile;corpus;;;3.3;data-based;https://arxiv.org/abs/2310.20707;2
xsum;;togethercomputer/RedPajama-Data-V2;corpus;;;4.28;data-based;https://arxiv.org/abs/2310.20707;2
zest;;allenai/c4;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
zest;;oscar-corpus/OSCAR-2301;corpus;;;0.0;data-based;https://arxiv.org/abs/2310.20707;2
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
nyu-mll/glue;wnli;GPT-3.5;model;0.0;;0.0;model-based;https://arxiv.org/abs/2308.08493;3
samsum;;GPT-4;model;0.0;;0.0;model-based;https://arxiv.org/abs/2308.08493;3
samsum;;GPT-3.5;model;0.0;;0.0;model-based;https://arxiv.org/abs/2308.08493;3
EdinburghNLP/xsum;;GPT-4;model;0.0;;100.0;model-based;https://arxiv.org/abs/2308.08493;3
EdinburghNLP/xsum;;GPT-3.5;model;0.0;;100.0;model-based;https://arxiv.org/abs/2308.08493;3
bigbio/mednli;;GPT-4;model;0.0;0.0;0.0;model-based;https://arxiv.org/abs/2308.08493;8
bigbio/mednli;;GPT-3.5;model;0.0;0.0;0.0;model-based;https://arxiv.org/abs/2308.08493;8
RadNLI;;GPT-4;model;0.0;0.0;0.0;model-based;https://arxiv.org/pdf/2308.08493;8
RadNLI;;GPT-3.5;model;0.0;0.0;0.0;model-based;https://arxiv.org/pdf/2308.08493;8
openai_humaneval;;GPT-4;model;;;25.0;data-based;https://arxiv.org/abs/2303.08774;11
ucinlp/drop;;GPT-4;model;;21.0;;data-based;https://arxiv.org/abs/2303.08774;11
bigbench;;GPT-4;model;;;100.0;data-based;https://arxiv.org/abs/2303.08774;11
gsm8k;;GPT-4;model;100.0;;1.0;data-based;https://arxiv.org/abs/2303.08774;11
EleutherAI/hendrycks_math;;GPT-4;model;100.0;;;data-based;https://arxiv.org/abs/2303.08774;11
cais/mmlu;;GPT-4;model;;;0.6;data-based;https://arxiv.org/abs/2303.08774;11
ibragim-bad/arc_challenge;;GPT-4;model;;;3.4;data-based;https://arxiv.org/abs/2303.08774;11
winogrande;;GPT-4;model;;;0.9;data-based;https://arxiv.org/abs/2303.08774;11
cais/mmlu;;GPT-3.5;model;;;52.0;model-based;https://arxiv.org/abs/2311.09783;10
winogrande;;GPT-3.5;model;;;9.0;model-based;https://arxiv.org/abs/2311.09783;10
truthful_qa;;GPT-3.5;model;;;12.0;model-based;https://arxiv.org/abs/2311.09783;10
allenai/openbookqa;;GPT-3.5;model;;;1.0;model-based;https://arxiv.org/abs/2311.09783;10
cais/mmlu;;GPT-4;model;;;57.0;model-based;https://arxiv.org/abs/2311.09783;10
truthful_qa;;GPT-4;model;;;10.0;model-based;https://arxiv.org/abs/2311.09783;10
winogrande;;GPT-4;model;;;12.0;model-based;https://arxiv.org/abs/2311.09783;10
allenai/openbookqa;;GPT-4;model;;;1.0;model-based;https://arxiv.org/abs/2311.09783;10
Rowan/hellaswag;;GPT-4;model;;;2.0;model-based;https://arxiv.org/abs/2311.09783;10
allenai/openbookqa;;LLaMa 2-13B;model;;;4.0;model-based;https://arxiv.org/abs/2311.09783;10
truthful_qa;;LLaMa 2-13B;model;;;2.0;model-based;https://arxiv.org/abs/2311.09783;10
winogrande;;LLaMa 2-13B;model;;;1.0;model-based;https://arxiv.org/abs/2311.09783;10
truthful_qa;;Mistral-7B;model;;;15.0;model-based;https://arxiv.org/abs/2311.09783;10
allenai/openbookqa;;Mistral-7B;model;;;10.0;model-based;https://arxiv.org/abs/2311.09783;10
winogrande;;Mistral-7B;model;;;3.0;model-based;https://arxiv.org/abs/2311.09783;10
cais/mmlu;;Mistral-7B;model;;;1.0;model-based;https://arxiv.org/abs/2311.09783;10
RadNLI;;GPT-4;model;0.0;0.0;0.0;model-based;https://arxiv.org/abs/2308.08493;8
RadNLI;;GPT-3.5;model;0.0;0.0;0.0;model-based;https://arxiv.org/abs/2308.08493;8
RadNLI;;GPT-4;model;0.0;0.0;0.0;model-based;https://arxiv.org/abs/2308.08493;8
RadNLI;;GPT-3.5;model;0.0;0.0;0.0;model-based;https://arxiv.org/abs/2308.08493;8
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
super_glue;boolq;GPT-3;model;;60.0;;data-based;https://arxiv.org/abs/2005.14165;13
super_glue;multirc;GPT-3;model;;59.0;;data-based;https://arxiv.org/abs/2005.14165;13
race;high;GPT-3;model;;;45.0;data-based;https://arxiv.org/abs/2005.14165;13
cimec/lambada;;GPT-3;model;;;43.0;data-based;https://arxiv.org/abs/2005.14165;13
super_glue;wsc;GPT-3;model;;40.0;;data-based;https://arxiv.org/abs/2005.14165;13
piqa;;GPT-3;model;;29.0;;data-based;https://arxiv.org/abs/2005.14165;13
wmt/wmt16;en-de;GPT-3;model;;;25.0;data-based;https://arxiv.org/abs/2005.14165;13
wmt/wmt16;de-en;GPT-3;model;;;25.0;data-based;https://arxiv.org/abs/2005.14165;13
race;middle;GPT-3;model;;;25.0;data-based;https://arxiv.org/abs/2005.14165;13
rmanluo/RoG-webqsp;;GPT-3;model;;;21.0;data-based;https://arxiv.org/abs/2005.14165;13
wmt/wmt16;en-ro;GPT-3;model;;;21.0;data-based;https://arxiv.org/abs/2005.14165;13
wmt/wmt16;ro-en;GPT-3;model;;;21.0;data-based;https://arxiv.org/abs/2005.14165;13
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
rmanluo/RoG-webqsp;;PaLM;model;;;26.7;data-based;https://arxiv.org/abs/2204.02311;13
super_glue;wsc;PaLM;model;;;36.8;data-based;https://arxiv.org/abs/2204.02311;13
mandarjoshi/trivia_qa;;PaLM;model;;19.9;;data-based;https://arxiv.org/abs/2204.02311;13
rajpurkar/squad_v2;;PaLM;model;;85.2;;data-based;https://arxiv.org/abs/2204.02311;13
super_glue;record;PaLM;model;;43.4;;data-based;https://arxiv.org/abs/2204.02311;13
cimec/lambada;;PaLM;model;;;29.3;data-based;https://arxiv.org/abs/2204.02311;13
super_glue;cb;PaLM;model;;48.2;;data-based;https://arxiv.org/abs/2204.02311;13
ibragim-bad/arc_easy;;PaLM;model;;;30.4;data-based;https://arxiv.org/abs/2204.02311;13
ibragim-bad/arc_challenge;;PaLM;model;;;24.7;data-based;https://arxiv.org/abs/2204.02311;13
winograd_wsc;;GLaM;model;;67.3;;data-based;https://arxiv.org/abs/2112.06905;13
winogrande;;GLaM;model;;;0.3;data-based;https://arxiv.org/abs/2112.06905;13
super_glue;wic;GLaM;model;;8.2;;data-based;https://arxiv.org/abs/2112.06905;13
super_glue;wsc;GLaM;model;;57.5;;data-based;https://arxiv.org/abs/2112.06905;13
mandarjoshi/trivia_qa;;GLaM;model;;18.8;;data-based;https://arxiv.org/abs/2112.06905;13
story_cloze;;GLaM;model;;100.0;;data-based;https://arxiv.org/abs/2112.06905;13
rajpurkar/squad_v2;;GLaM;model;;94.6;;data-based;https://arxiv.org/abs/2112.06905;13
super_glue;record;GLaM;model;;98.6;;data-based;https://arxiv.org/abs/2112.06905;13
super_glue;rte;GLaM;model;;54.9;;data-based;https://arxiv.org/abs/2112.06905;13
race;middle;GLaM;model;;58.4;;data-based;https://arxiv.org/abs/2112.06905;13
race;high;GLaM;model;;74.0;;data-based;https://arxiv.org/abs/2112.06905;13
quac;;GLaM;model;;99.9;;data-based;https://arxiv.org/abs/2112.06905;13
piqa;;GLaM;model;;49.8;;data-based;https://arxiv.org/abs/2112.06905;13
allenai/openbookqa;;GLaM;model;;20.0;;data-based;https://arxiv.org/abs/2112.06905;13
natural_questions;;GLaM;model;;3.9;;data-based;https://arxiv.org/abs/2112.06905;13
super_glue;multirc;GLaM;model;;68.8;;data-based;https://arxiv.org/abs/2112.06905;13
cimec/lambada;;GLaM;model;;;21.8;data-based;https://arxiv.org/abs/2112.06905;13
Rowan/hellaswag;;GLaM;model;;19.8;;data-based;https://arxiv.org/abs/2112.06905;13
stanfordnlp/coqa;;GLaM;model;;;75.0;data-based;https://arxiv.org/abs/2112.06905;13
super_glue;copa;GLaM;model;;3.0;;data-based;https://arxiv.org/abs/2112.06905;13
super_glue;cb;GLaM;model;;26.8;;data-based;https://arxiv.org/abs/2112.06905;13
super_glue;boolq;GLaM;model;;92.1;;data-based;https://arxiv.org/abs/2112.06905;13
ibragim-bad/arc_easy;;GLaM;model;;32.5;;data-based;https://arxiv.org/abs/2112.06905;13
ibragim-bad/arc_challenge;;GLaM;model;;31.8;;data-based;https://arxiv.org/abs/2112.06905;13
facebook/anli;dev_r3;GLaM;model;;40.7;;data-based;https://arxiv.org/abs/2112.06905;13
facebook/anli;dev_r2;GLaM;model;;96.8;;data-based;https://arxiv.org/abs/2112.06905;13
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
facebook/anli;dev_r3;FLAN;model;;40.2;;data-based;https://arxiv.org/abs/2109.01652;13
facebook/anli;dev_r2;FLAN;model;;97.9;;data-based;https://arxiv.org/abs/2109.01652;13
facebook/anli;dev_r1;FLAN;model;;98.6;;data-based;https://arxiv.org/abs/2109.01652;13
ibragim-bad/arc_easy;;mistralai/Mistral-7B-v0.1;model;;;100.0;model-based;https://arxiv.org/abs/2310.17623;14
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