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"tweet_eval/stance_atheism", "tweet_eval/stance_climate", "tweet_eval/stance_feminist", "tweet_eval/stance_hillary", "discovery/discovery", "pragmeval/squinky-informativeness", "pragmeval/switchboard", "pragmeval/mrda", "pragmeval/verifiability", "pragmeval/emobank-arousal", "pragmeval/emobank-dominance", "pragmeval/squinky-formality", "pragmeval/squinky-implicature", "pragmeval/emobank-valence", "pragmeval/persuasiveness-claimtype", "pragmeval/persuasiveness-eloquence", "pragmeval/emergent", "pragmeval/pdtb", "pragmeval/persuasiveness-strength", "pragmeval/persuasiveness-relevance", "pragmeval/persuasiveness-specificity", "pragmeval/persuasiveness-premisetype", "pragmeval/stac", "pragmeval/sarcasm", "pragmeval/gum", "silicone/oasis", "silicone/meld_e", "silicone/meld_s", "silicone/maptask", "silicone/dyda_e", "silicone/dyda_da", "silicone/iemocap", "silicone/sem", "lex_glue/eurlex", "lex_glue/scotus", "lex_glue/ledgar", "lex_glue/unfair_tos", "lex_glue/case_hold", 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"linguisticprobing/top_constituents", "linguisticprobing/subj_number", "crowdflower/political-media-message", "crowdflower/text_emotion", "crowdflower/corporate-messaging", "crowdflower/economic-news", "crowdflower/airline-sentiment", "crowdflower/tweet_global_warming", "crowdflower/sentiment_nuclear_power", "crowdflower/political-media-audience", "crowdflower/political-media-bias", "ethics/commonsense", "ethics/deontology", "ethics/justice", "ethics/virtue", "emo/emo2019", "google_wellformed_query", "tweets_hate_speech_detection", "has_part", "wnut_17/wnut_17", "ncbi_disease/ncbi_disease", "acronym_identification", "jnlpba/jnlpba", "ontonotes_english/SpeedOfMagic--ontonotes_english", "blog_authorship_corpus/gender", "blog_authorship_corpus/age", "blog_authorship_corpus/job", "open_question_type", "health_fact", "commonsense_qa", "mc_taco", "ade_corpus_v2/Ade_corpus_v2_classification", "discosense", "circa", "phrase_similarity", "scientific-exaggeration-detection", "quarel", "fever-evidence-related/mwong--fever-related", "numer_sense", "dynasent/dynabench.dynasent.r1.all/r1", "dynasent/dynabench.dynasent.r2.all/r2", "Sarcasm_News_Headline", "sem_eval_2010_task_8", "auditor_review/demo-org--auditor_review", "medmcqa", "Dynasent_Disagreement", "Politeness_Disagreement", "SBIC_Disagreement", "SChem_Disagreement", "Dilemmas_Disagreement", "logiqa", "wiki_qa", "cycic_classification", "cycic_multiplechoice", "sts-companion", "commonsense_qa_2.0", "lingnli", "monotonicity-entailment", "arct", "scinli", "naturallogic", "onestop_qa", "moral_stories/full", "prost", "dynahate", "syntactic-augmentation-nli", "autotnli", "CONDAQA", "webgpt_comparisons", "synthetic-instruct-gptj-pairwise", "scruples", "wouldyourather", "attempto-nli", "defeasible-nli/atomic", "defeasible-nli/snli", "help-nli", "nli-veridicality-transitivity", "natural-language-satisfiability", "lonli", "dadc-limit-nli", "FLUTE", "strategy-qa", "summarize_from_feedback/comparisons", "folio", "tomi-nli", "avicenna", "SHP", "MedQA-USMLE-4-options-hf", "wikimedqa/medwiki", "cicero", "CREAK", "mutual", "NeQA", "quote-repetition", "redefine-math", "puzzte", "implicatures", "race/middle", "race/high", "race-c", "spartqa-yn", "spartqa-mchoice", "temporal-nli", "riddle_sense", "clcd-english", "twentyquestions", "reclor", "counterfactually-augmented-imdb", "counterfactually-augmented-snli", "cnli", "boolq-natural-perturbations", "acceptability-prediction", "equate", "ScienceQA_text_only", "ekar_english", "implicit-hate-stg1", "chaos-mnli-ambiguity", "headline_cause/en_simple", "logiqa-2.0-nli", "oasst2_dense_flat/quality", "oasst2_dense_flat/toxicity", "oasst2_dense_flat/helpfulness", "mindgames", "universal_dependencies/en_partut/deprel", "universal_dependencies/en_lines/deprel", "universal_dependencies/en_ewt/deprel", "universal_dependencies/en_gum/deprel", "ambient", "path-naturalness-prediction", "civil_comments/toxicity", "civil_comments/severe_toxicity", "civil_comments/obscene", "civil_comments/threat", "civil_comments/insult", "civil_comments/identity_attack", "civil_comments/sexual_explicit", "cloth", "dgen", "I2D2", "args_me", "Touche23-ValueEval", "starcon", "banking77", "lsat_qa/all", "ConTRoL-nli", "tracie", "sherliic", "sen-making/1", "sen-making/2", "winowhy", "mbib-base/cognitive-bias", "mbib-base/fake-news", "mbib-base/gender-bias", "mbib-base/hate-speech", "mbib-base/linguistic-bias", "mbib-base/political-bias", "mbib-base/racial-bias", "mbib-base/text-level-bias", "robustLR", "v1/gen_train234_test2to10", "logical-fallacy", "parade", "cladder", "subjectivity", "MOH", "VUAC", "TroFi", "sharc_modified/mod", "conceptrules_v2", "disrpt/eng.dep.scidtb.rels", "conll2000", "few-nerd/supervised", "finer-139", "zero-shot-label-nli", "com2sense", "scone", "winodict", "fool-me-twice", "monli", "corr2cause", "lsat_qa/all", "apt", "twitter-financial-news-sentiment", "icl-symbol-tuning-instruct", "SpaceNLI", "propsegment/nli", "HatemojiBuild", "regset", "esci", "chatbot_arena_conversations", "dnd_style_intents", "FLD.v2", "SDOH-NLI", "scifact_entailment", "feasibilityQA", "simple_pair", "AdjectiveScaleProbe-nli", "resnli", "SpaRTUN", "ReSQ", "semantic_fragments_nli", "dataset_train_nli", "stepgame", "nlgraph", "oasst2_pairwise_rlhf_reward", "hh-rlhf/helpful-online", "hh-rlhf/helpful-base", "hh-rlhf/helpful-rejection-sampled", "hh-rlhf/harmless-base", "ruletaker", "PARARULE-Plus", "proofwriter", "logical-entailment", "nope", "LogicNLI", "babi_nli", "gen_debiased_nli", "imppres/presupposition", "/prag", "blimp-2", "mmlu-4" ], "torch_dtype": "float32", "transformers_version": "4.34.1", "type_vocab_size": 0, "vocab_size": 128100 }