dataset_rank = {'glue': 0,
 'super_glue': 12,
 'tweet_eval': 23,
 'blimp': 34,
 'imdb': 101,
 'wikitext': 102,
 'squad': 106,
 'trec': 107,
 'openwebtext': 108,
 'rotten_tomatoes': 109,
 'anli': 110,
 'adversarial_qa': 111,
 'ai2_arc': 115,
 'xsum': 117,
 'amazon_reviews_multi': 118,
 'ag_news': 125,
 'yelp_review_full': 126,
 'wino_bias': 127,
 'piqa': 131,
 'duorc': 132,
 'quail': 134,
 'trivia_qa': 135,
 'cnn_dailymail': 143,
 'common_gen': 146,
 'sst': 147,
 'conll2003': 150,
 'financial_phrasebank': 151,
 'babi_qa': 155,
 'poem_sentiment': 163,
 'dream': 164,
 'paws': 165,
 'emotion': 168,
 'kilt_tasks': 169,
 'sciq': 180,
 'cos_e': 181,
 'dbpedia_14': 183,
 'newsgroup': 184,
 'cosmos_qa': 244,
 'squad_v2': 245,
 'samsum': 246,
 'amazon_polarity': 247,
 'multi_news': 248,
 'wiki_hop': 249,
 'quartz': 251,
 'qasc': 252,
 'wiki_qa': 253,
 'openbookqa': 254,
 'ropes': 256,
 'quoref': 257,
 'snli': 258,
 'app_reviews': 259,
 'gigaword': 260,
 'wiki_bio': 261,
 'amazon_us_reviews': 262,
 'scan': 308,
 'race': 320,
 'swag': 323,
 'codah': 325,
 'ccdv/arxiv-summarization': 331,
 'subjqa': 333,
 'universal_morphologies': 339,
 'hans': 447,
 'sst2': 448,
 'guardian_authorship': 449,
 'math_qa': 465,
 'librispeech_asr': 466,
 'hendrycks_test': 469,
 'openai_humaneval': 526,
 'ptb_text_only': 527,
 'pubmed_qa': 528,
 'head_qa': 531,
 'ought/raft': 533,
 'ade_corpus_v2': 544,
 'cbt': 547,
 'bookcorpus': 552,
 'squadshifts': 553,
 'story_cloze': 557,
 'multi_nli': 559,
 'qanta': 560,
 'hate_speech18': 564,
 'gem': 565,
 'lex_glue': 599,
 'deepmind/code_contests': 606,
 'imagenet-1k': 607,
 'blended_skill_talk': 608,
 'sms_spam': 609,
 'asset': 610,
 'fever': 612,
 'commonsense_qa': 615,
 'scientific_papers': 616,
 'evidence_infer_treatment': 618,
 'hotpot_qa': 620,
 'superb': 622,
 'sick': 628,
 'humicroedit': 629,
 'snips_built_in_intents': 631,
 'winograd_wsc': 632,
 'bigbench': 634,
 'multi_woz_v22': 801,
 'lambada': 803,
 'banking77': 804,
 'hate_speech_offensive': 805,
 'yahoo_answers_topics': 806,
 'ccdv/cnn_dailymail': 807,
 'hyperpartisan_news_detection': 810,
 'gsm8k': 812,
 'wikisql': 814,
 'the_pile': 815,
 'health_fact': 825,
 'mdd': 826,
 'web_questions': 830,
 'ethos': 831,
 'wnut_17': 833,
 'medical_questions_pairs': 834,
 'scitldr': 835,
 'drop': 838,
 'squad_adversarial': 839,
 'e2e_nlg_cleaned': 841,
 'onestop_english': 842,
 'pragmeval': 843,
 'relbert/analogy_questions': 863,
 'nq_open': 869,
 'daily_dialog': 870,
 'mc_taco': 871,
 'crows_pairs': 872,
 'go_emotions': 873,
 'ncbi_disease': 875,
 'boolq': 876,
 'movie_rationales': 877,
 'climate_fever': 878,
 'discovery': 879,
 'lama': 881,
 'ecthr_cases': 885,
 'jfleg': 887,
 'selqa': 888,
 'acronym_identification': 892,
 'scicite': 893,
 'tab_fact': 894,
 'wiki_asp': 896,
 'enriched_web_nlg': 916,
 'svhn': 918,
 'docred': 920,
 'conllpp': 921,
 'liar': 922,
 'multi_x_science_sum': 923,
 'discofuse': 924,
 'competition_math': 926,
 'biosses': 927,
 'jnlpba': 928,
 'web_nlg': 929,
 'qa_srl': 937,
 'neural_code_search': 938,
 'conv_ai_2': 940,
 'craigslist_bargains': 941,
 'qed': 942,
 'conv_ai_3': 943,
 'conv_ai': 944,
 'turk': 945,
 'covid_qa_castorini': 946,
 'sem_eval_2014_task_1': 947,
 'mwsc': 948,
 'gutenberg_time': 949,
 'billsum': 950,
 'riddle_sense': 951,
 'species_800': 952,
 'hlgd': 953,
 'definite_pronoun_resolution': 954,
 'tmu_gfm_dataset': 955,
 'relbert/semeval2012_relational_similarity_v4': 956,
 'clinc_oos': 957,
 'imppres': 960,
 'mrqa': 976,
 'cc_news': 977,
 'lmqg/qag_tweetqa': 978,
 'aeslc': 979,
 'big_patent': 980,
 'eli5': 990,
 'scene_parse_150': 991,
 'circa': 993,
 'aqua_rat': 994,
 'nlu_evaluation_data': 996,
 'newspop': 997,
 'relbert/lexical_relation_classification': 998,
 'yahoo_answers_qa': 1003,
 'emo': 1004,
 'silicone': 1005,
 'cord19': 1015,
 'tweet_qa': 1018,
 'meta_woz': 1019,
 'md_gender_bias': 1021,
 'art': 1031,
 'google_wellformed_query': 1032,
 'ambig_qa': 1033,
 'taskmaster2': 1035,
 'quac': 1042,
 'freebase_qa': 1043,
 'quora': 1044,
 'numer_sense': 1045,
 'narrativeqa': 1046,
 'ccdv/pubmed-summarization': 1047,
 'qa_zre': 1049,
 'limit': 1050,
 'tweets_hate_speech_detection': 1051,
 'mocha': 1052,
 'hatexplain': 1053,
 'bing_coronavirus_query_set': 1054,
 'great_code': 1055,
 'medal': 1056,
 'sent_comp': 1057,
 'kelm': 1058,
 'natural_questions': 1059,
 'wiki_split': 1061,
 'zest': 1062,
 'cfq': 1063,
 'multi_re_qa': 1071,
 'stereoset': 1080,
 'coqa': 1082,
 'cuad': 1083,
 'break_data': 1084,
 'mbpp': 1089,
 'knkarthick/dialogsum': 1091,
 'wiki_auto': 1092,
 'pile-of-law/pile-of-law': 1097,
 'pg19': 1132,
 'DFKI-SLT/few-nerd': 1133,
 'wikicorpus': 1136,
 'e2e_nlg': 1142,
 'anton-l/superb': 1143,
 'ghomasHudson/muld': 1144,
 'Exr0n/wiki-entity-similarity': 1150,
 'BeIR/nfcorpus': 1156,
 'ccdv/govreport-summarization': 1158,
 'woz_dialogue': 1159,
 'reddit': 1164,
 'EMBO/sd-nlp': 1165,
 'empathetic_dialogues': 1170,
 'BeIR/fiqa': 1171,
 'generics_kb': 1173,
 'swda': 1177,
 'wikitablequestions': 1178,
 'pubmed': 1183,
 'chr_en': 1184,
 'sharc': 1185,
 'sharc_modified': 1186,
 'BeIR/scifact': 1190,
 'nell': 1192,
 'patriziobellan/PET': 1196,
 'EMBO/biolang': 1198,
 'dynabench/qa': 1202,
 'reddit_tifu': 1206,
 'BeIR/scidocs': 1208,
 'pec': 1210,
 'tner/tweetner7': 1213,
 'BeIR/arguana': 1214,
 'multidoc2dial': 1216,
 'taskmaster1': 1219,
 'spider': 1221,
 'adv_glue': 1222,
 'allenai/mslr2022': 1228,
 'conceptnet5': 1230,
 'tyqiangz/multilingual-sentiments': 1233,
 'newsqa': 1246,
 'metashift': 1249,
 'so_stacksample': 1250,
 'doc2dial': 1253,
 'search_qa': 1256,
 'yhavinga/mc4_nl_cleaned': 1258,
 'hope_edi': 1270,
 'proto_qa': 1273,
 'tuple_ie': 1276,
 'simple_questions_v2': 1279,
 'nlpaueb/finer-139': 1282,
 'bookcorpusopen': 1283,
 'tner/ontonotes5': 1284,
 'crd3': 1285,
 'ucberkeley-dlab/measuring-hate-speech': 1286,
 'gap': 1287,
 'recipe_nlg': 1288,
 'schema_guided_dstc8': 1289,
 'BeIR/beir': 1291,
 'sagnikrayc/mctest': 1294,
 'eurlex': 1296,
 'corypaik/coda': 1297,
 'bc2gm_corpus': 1298,
 'ascent_kb': 1299,
 'curiosity_dialogs': 1301,
 'covid_qa_deepset': 1302,
 'air_dialogue': 1303,
 'taskmaster3': 1305,
 'xsum_factuality': 1306,
 'medical_dialog': 1308,
 'BeIR/trec-covid': 1312,
 'lhoestq/test': 1314,
 'newsroom': 1315,
 'tne': 1316,
 'covid_qa_ucsd': 1317,
 'fhamborg/news_sentiment_newsmtsc': 1319,
 'prachathai67k': 1321,
 'cardiffnlp/tweet_topic_multi': 1322,
 'datacommons_factcheck': 1323,
 'deal_or_no_dialog': 1325,
 'ubuntu_dialogs_corpus': 1327,
 'eu_regulatory_ir': 1329,
 'scifact': 1331,
 'wi_locness': 1333,
 'relbert/relation_mapping': 1335,
 'coastalcph/fairlex': 1336,
 'asnq': 1340,
 'peer_read': 1341,
 'metaeval/linguisticprobing': 1343,
 'jigsaw_unintended_bias': 1353,
 'totto': 1354,
 'irc_disentangle': 1355,
 'med_hop': 1357,
 'numeric_fused_head': 1359,
 'ollie': 1361,
 'per_sent': 1363,
 'SocialGrep/ten-million-reddit-answers': 1364,
 'lmqg/qg_squad': 1366,
 's2orc': 1367,
 'Hellisotherpeople/DebateSum': 1368,
 'SocialGrep/reddit-crypto-aug-2021': 1369,
 'jigsaw_toxicity_pred': 1371,
 'GroNLP/ik-nlp-22_slp': 1372,
 'SocialGrep/reddit-nonewnormal-complete': 1374,
 'SocialGrep/reddit-wallstreetbets-aug-2021': 1376,
 'SocialGrep/the-reddit-covid-dataset': 1378,
 'SocialGrep/top-american-universities-on-reddit': 1380,
 'BeIR/beir-corpus': 1382,
 'SocialGrep/one-year-of-r-india': 1384,
 'BritishLibraryLabs/EThOS-PhD-metadata': 1386,
 'librispeech_lm': 1388,
 'few_rel': 1389,
 'arxiv_dataset': 1390,
 'lc_quad': 1391,
 'diplomacy_detection': 1392,
 'lmqg/qa_squadshifts_pseudo': 1393,
 'grail_qa': 1461,
 'tner/wnut2017': 1462,
 'demo-org/auditor_review': 1463,
 'allenai/real-toxicity-prompts': 1464,
 'BeIR/nfcorpus-qrels': 1465,
 'onestop_qa': 1466,
 'demelin/moral_stories': 1467,
 'atomic': 1493,
 'crawl_domain': 1494,
 'BeIR/quora': 1495,
 'Abirate/english_quotes': 1497,
 'narrativeqa_manual': 1498,
 'BeIR/fiqa-qrels': 1499,
 'social_bias_frames': 1500,
 'pkavumba/balanced-copa': 1501,
 'eraser_multi_rc': 1502,
 'sled-umich/TRIP': 1503,
 'opinosis': 1504,
 'PiC/phrase_sense_disambiguation': 1505,
 'enwik8': 1506,
 'sem_eval_2020_task_11': 1508,
 'gooaq': 1509,
 'linnaeus': 1510,
 'hover': 1511,
 'GonzaloA/fake_news': 1512,
 'consumer-finance-complaints': 1513,
 'ohsumed': 1514,
 'casino': 1515,
 'gfissore/arxiv-abstracts-2021': 1516,
 'conv_questions': 1517,
 'hate_offensive': 1518,
 'sofc_materials_articles': 1519,
 'wanyu/IteraTeR_human_sent': 1520,
 'dialog_re': 1521,
 'fake_news_english': 1522,
 'dart': 1523,
 'blog_authorship_corpus': 1524,
 'msr_zhen_translation_parity': 1525,
 'cryptonite': 1526,
 'disfl_qa': 1527,
 'olm/olm-CC-MAIN-2022-21-sampling-ratio-0.14775510204': 1528,
 'olm/olm-CC-MAIN-2022-33-sampling-ratio-0.20': 1529,
 'coarse_discourse': 1530,
 'eth_py150_open': 1531,
 'event2Mind': 1532,
 'Paul/hatecheck': 1533,
 'eli5_category': 1534,
 'hippocorpus': 1535,
 'the_pile_books3': 1536,
 'coached_conv_pref': 1537,
 'has_part': 1538,
 'times_of_india_news_headlines': 1539,
 'medmcqa': 1540,
 'Babelscape/rebel-dataset': 1541,
 'glucose': 1542,
 'msr_text_compression': 1543,
 'msr_genomics_kbcomp': 1544,
 'SpeedOfMagic/ontonotes_english': 1545,
 'msr_sqa': 1546,
 'wiki_movies': 1547,
 'hybrid_qa': 1548,
 'metooma': 1549,
 'multi_nli_mismatch': 1550,
 'text2log': 1551,
 'the_pile_stack_exchange': 1552,
 're_dial': 1553,
 'inquisitive_qg': 1554,
 'SocialGrep/one-million-reddit-jokes': 1555,
 'time_dial': 1556,
 'BeIR/scifact-qrels': 1557,
 'sede': 1558,
 'mutual_friends': 1559,
 'pass': 1560,
 'allenai/multi_lexsum': 1561,
 'youtube_caption_corrections': 1562,
 'NbAiLab/norec_agg': 1563,
 'DanL/scientific-challenges-and-directions-dataset': 1564,
 'SocialGrep/one-million-reddit-questions': 1565,
 'Motahar/github-issues': 1566,
 'SocialGrep/the-2022-trucker-strike-on-reddit': 1567,
 'allenai/qasper': 1568,
 'CyranoB/polarity': 1569,
 'SocialGrep/one-million-reddit-confessions': 1570,
 'debatelab/deepa2': 1571,
 'bhavnicksm/sentihood': 1572,
 'debatelab/aaac': 1573,
 'jgammack/SAE-door-abstracts': 1574,
 'erwanlc/cocktails_recipe': 1575,
 'erwanlc/cocktails_recipe_no_brand': 1576,
 'BeIR/arguana-qrels': 1577,
 'tner/fin': 1578,
 'BeIR/scidocs-qrels': 1579,
 'tner/bc5cdr': 1580,
 'olm/olm-CC-MAIN-2022-27-sampling-ratio-0.16142697881': 1581,
 'BeIR/fever': 1582,
 'cardiffnlp/tweet_topic_single': 1584,
 'speechcolab/gigaspeech': 1585,
 'BeIR/webis-touche2020': 1586,
 'aquamuse': 1588,
 'olm/olm-CC-MAIN-2022-40-sampling-ratio-0.15894621295': 1590,
 'tner/btc': 1591,
 'truthful_qa': 1592,
 'McGill-NLP/FaithDial': 1594,
 'ekinakyurek/ftrace': 1595,
 'tomasg25/scientific_lay_summarisation': 1597,
 'tner/mit_restaurant': 1599,
 'bigscience-biomedical/bioasq_task_b': 1600,
 'strombergnlp/broad_twitter_corpus': 1619,
 'tner/bionlp2004': 1620,
 'metaeval/recast': 1621,
 'the_pile_openwebtext2': 1629,
 'taln-ls2n/inspec': 1630,
 'lmqg/qa_squadshifts': 1631,
 'BeIR/hotpotqa': 1636,
 'jpwahle/machine-paraphrase-dataset': 1638,
 'tner/mit_movie_trivia': 1639,
 'tner/conll2003': 1640,
 'OxAISH-AL-LLM/wiki_toxic': 1641,
 'ccdv/WCEP-10': 1642,
 'BeIR/trec-covid-qrels': 1646,
 'g8a9/europarl_en-it': 1647,
 'carblacac/twitter-sentiment-analysis': 1648,
 'usc-isi/WikiConvert': 1649,
 'visual_genome': 1650,
 'florianbussmann/FUNSD-vu2020revising': 1660,
 'Felix-ML/quoteli3': 1661,
 'allenai/scico': 1662,
 'drAbreu/bc4chemd_ner': 1663,
 'tner/tweebank_ner': 1664,
 'alisawuffles/WANLI': 1665,
 'Team-PIXEL/rendered-bookcorpus': 1666,
 'Team-PIXEL/rendered-wikipedia-english': 1667,
 'wanyu/IteraTeR_full_sent': 1668,
 'EMBO/BLURB': 1669,
 'metaeval/crowdflower': 1676,
 'AlexaAI/bold': 1685,
 'metaeval/ethics': 1686,
 'sileod/movie_recommendation': 1691,
 'lmqg/qg_subjqa': 1692,
 'copenlu/scientific-exaggeration-detection': 1699,
 'esb/datasets': 1700,
 'BeIR/msmarco': 1701,
 'biwi_kinect_head_pose': 1703,
 'BeIR/quora-qrels': 1704,
 'wardenga/lsoie': 1705,
 'nlphuji/vasr': 1707,
 'BeIR/nq': 1708,
 'BeIR/dbpedia-entity': 1710,
 'sadrasabouri/ShahNegar': 1712,
 'knkarthick/xsum': 1713,
 'ColumbiaNLP/FLUTE': 1714,
 'bigscience-biomedical/scitail': 1715,
 'lmqg/qg_squadshifts': 1717,
 'BeIR/climate-fever': 1722,
 'PiC/phrase_retrieval': 1724,
 'bdotloh/empathetic-dialogues-contexts': 1726,
 'ccdv/mediasum': 1727,
 'BeIR/msmarco-qrels': 1735,
 'alexfabbri/answersumm': 1736,
 'pszemraj/text2image-multi-prompt': 1737,
 'shibing624/source_code': 1738,
 'kensho/spgispeech': 1741,
 'jamescalam/channel-metadata': 1742,
 'EMBO/sd-nlp-non-tokenized': 1743,
 'facebook/pmd': 1748,
 'drt/kqa_pro': 1749,
 'BeIR/fever-qrels': 1751,
 'TheFusion21/PokemonCards': 1752,
 'zeroshot/twitter-financial-news-sentiment': 1753,
 'bigscience-biomedical/blurb': 1754,
 'mteb/bucc-bitext-mining': 1759,
 'pinecone/core-2020-05-10-deduplication': 1763,
 'tals/vitaminc': 1764,
 'BeIR/hotpotqa-qrels': 1765,
 'gigant/ted_descriptions': 1766,
 'jpwahle/autoencoder-paraphrase-dataset': 1767,
 'beki/privy': 1768,
 'Muennighoff/P3': 1770,
 'jpwahle/dblp-discovery-dataset': 1771,
 'taln-ls2n/kp20k': 1773,
 'bigscience-biomedical/biosses': 1774,
 'allenai/prosocial-dialog': 1776,
 'pacovaldez/stackoverflow-questions': 1777,
 'kasnerz/hitab': 1778,
 'relbert/semeval2012_relational_similarity': 1779,
 'sagnikrayc/snli-cf-kaushik': 1780,
 'mwritescode/slither-audited-smart-contracts': 1781,
 'BeIR/webis-touche2020-qrels': 1787,
 'bigscience-biomedical/mednli': 1788,
 'pinecone/movielens-recent-ratings': 1790,
 'BeIR/dbpedia-entity-qrels': 1791,
 'shanya/crd3': 1792,
 'knkarthick/samsum': 1793,
 'BeIR/climate-fever-qrels': 1794,
 'BeIR/nq-qrels': 1795,
 'sanchit-gandhi/librispeech_asr_dummy': 1796,
 'taln-ls2n/semeval-2010-pre': 1797,
 'Bingsu/openwebtext_20p': 1798,
 'PolyAI/banking77': 1799,
 'JulesBelveze/tldr_news': 1800,
 'Freed-Wu/kodak': 1801,
 'biglam/gutenberg-poetry-corpus': 1802,
 'SocialGrep/reddit-r-bitcoin-data-for-jun-2022': 1803,
 'taln-ls2n/kptimes': 1805,
 'biglam/old_bailey_proceedings': 1806,
 'launch/gov_report': 1807,
 'knkarthick/AMI': 1810,
 'voidful/NMSQA': 1811,
 'DTU54DL/dmeo': 1812,
 'FinanceInc/auditor_sentiment': 1813,
 'jamescalam/unsplash-25k-photos': 1814,
 'Tidrael/tsl_news': 1815,
 'DTU54DL/common3k-train': 1816,
 'okite97/news-data': 1817,
 'lmqg/qa_squad': 1818,
 'ConvLab/woz': 1819,
 'ConvLab/camrest': 1820,
 'ConvLab/metalwoz': 1821,
 'kakaobrain/coyo-700m': 1822,
 'taln-ls2n/kpbiomed': 1823,
 'abhinavk/openpi_v2': 1826,
 'mwong/fever-claim-related': 1831,
 'ConvLab/tm1': 1832,
 'joey234/nan-nli': 1833,
 'ConvLab/tm2': 1834,
 'ConvLab/tm3': 1835,
 'ConvLab/kvret': 1836,
 'ConvLab/sgd': 1837,
 'relbert/semeval2012_relational_similarity_v5': 1838,
 'cmudrc/wave-energy': 1839,
 'llangnickel/long-covid-classification-data': 1840,
 'webis/args_me': 1841,
 'HuggingFaceM4/something_something_v2': 1844,
 'ConvLab/dailydialog': 1845,
 'huanggab/reddit_haiku': 1846,
 'relbert/semeval2012_relational_similarity_v6': 1847,
 'pszemraj/riddlesense_plusplus': 1848,
 'rungalileo/20_Newsgroups_Fixed': 1849,
 'DTU54DL/common-voice-test16k': 1850,
 'lhoestq/custom_squad': 1851,
 'merve/poetry': 1852,
 'yoshitomo-matsubara/srsd-feynman_easy': 1853,
 'nightingal3/fig-qa': 1854,
 'matejklemen/vuamc': 1855,
 'strombergnlp/twitter_pos': 1856,
 'nlphuji/winogavil': 1858,
 'DFKI-SLT/tacred': 1859,
 'valurank/News_Articles_Categorization': 1861,
 'nbroad/mediasum': 1862,
 'asapp/slue': 1863,
 'zbnsl/emoteModified': 1865,
 'adsabs/WIESP2022-NER': 1866,
 'arize-ai/ecommerce_reviews_with_language_drift': 1867,
 'UCL-DARK/ludwig': 1868,
 'Aunsiels/InfantBooks': 1874,
 'openclimatefix/uk_pv': 1875,
 'copenlu/fever_gold_evidence': 1876,
 'rungalileo/mit_movies_fixed_connll_format': 1877,
 'jamescalam/youtube-transcriptions': 1878,
 'lmqg/qa_harvesting_from_wikipedia': 1879,
 'qanastek/Biosses-BLUE': 1880,
 'zeronix1020/Strawberry-Disease': 1881,
 'dferndz/cSQuAD2': 1882,
 'taln-ls2n/pubmed': 1883,
 'BeIR/scidocs-generated-queries': 1884,
 'jmhessel/newyorker_caption_contest': 1885,
 'inverse-scaling/NeQA': 1915,
 'DTU54DL/common-voice': 1916,
 'turingbench/TuringBench': 1917,
 'demelin/understanding_fables': 1937,
 'RUCAIBox/Open-Dialogue': 1938,
 'allenai/multinews_sparse_max': 1939,
 'RamAnanth1/lex-fridman-podcasts': 1940,
 'sled-umich/Conversation-Entailment': 1941,
 'stevhliu/demo': 1942,
 'svakulenk0/qrecc': 1943,
 'arize-ai/movie_reviews_with_context_drift': 1944,
 'launch/ampere': 1945,
 'AnonymousSub/recipe_RL_data_roberta-base': 1946,
 'dreamproit/bill_summary_us': 1947,
 'bgstud/libri-whisper-raw': 1948,
 'jpwahle/etpc': 1949,
 'DTU54DL/common-native-proc': 1950,
 'mbartolo/synQA': 1951,
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 'orieg/elsevier-oa-cc-by': 1954,
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 'KGraph/FB15k-237': 1958,
 'KheemDH/data': 1959,
 'mwong/fever-evidence-related': 1960,
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 'RUCAIBox/Data-to-text-Generation': 1966,
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 'Tidrael/finance-headlines': 1968,
 'lmqg/qag_squad': 1969,
 'pacovaldez/stackoverflow-questions-2016': 1970,
 'BeIR/fiqa-generated-queries': 1971,
 'BeIR/signal1m-generated-queries': 1972,
 'MicPie/unpredictable_msdn-microsoft-com': 1973,
 'zeroshot/twitter-financial-news-topic': 1974,
 'inverse-scaling/quote-repetition': 1975,
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 'jakartaresearch/causalqa': 1982,
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 'arka0821/multi_document_summarization': 2006,
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 'rongzhangibm/NaturalQuestionsV2': 2008,
 'Muennighoff/mbpp': 2009,
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 'olm/olm-wikipedia-20220701': 2013,
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 'jpwahle/autoregressive-paraphrase-dataset': 2015,
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 'MicPie/unpredictable_mmo-champion-com': 2022,
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 'allenai/multinews_sparse_mean': 2024,
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 'gart-labor/pumpnli': 2030,
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 'BeIR/robust04-generated-queries': 2056,
 'BeIR/quora-generated-queries': 2057,
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 'yuningm/citesum': 2061,
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 'fever/feverous': 2225,
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 'wkrl/cord': 2227,
 'launch/reddit_qg': 2228,
 'arize-ai/xtreme_en': 2229}

dataset_rank['Anthropic/model-written-evals']=13
dataset_rank['Anthropic/hh-rlhf']=14