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    "blog_authorship_corpus/horoscope",
    "blog_authorship_corpus/job",
    "open_question_type",
    "health_fact",
    "commonsense_qa",
    "mc_taco",
    "ade_corpus_v2/Ade_corpus_v2_classification",
    "discosense",
    "circa",
    "EffectiveFeedbackStudentWriting",
    "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/high",
    "race/middle",
    "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",
    "oasst1_dense_flat/quality",
    "oasst1_dense_flat/toxicity",
    "oasst1_dense_flat/helpfulness",
    "PARARULE-Plus",
    "mindgames",
    "universal_dependencies/en_partut/deprel",
    "universal_dependencies/en_lines/deprel",
    "universal_dependencies/en_gum/deprel",
    "universal_dependencies/en_ewt/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",
    "oasst1_pairwise_rlhf_reward",
    "I2D2",
    "args_me",
    "Touche23-ValueEval",
    "starcon",
    "banking77",
    "ruletaker",
    "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",
    "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",
    "babi_nli",
    "gen_debiased_nli",
    "imppres/presupposition",
    "/prag",
    "blimp-2",
    "mmlu-4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.30.2",
  "type_vocab_size": 0,
  "vocab_size": 128100
}