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    "babi_nli/basic-coreference",
    "babi_nli/two-supporting-facts",
    "babi_nli/lists-sets",
    "babi_nli/two-arg-relations",
    "babi_nli/three-supporting-facts",
    "babi_nli/basic-deduction",
    "babi_nli/single-supporting-fact",
    "anli/a1",
    "anli/a2",
    "anli/a3",
    "sick/label",
    "sick/relatedness",
    "sick/entailment_AB",
    "sick/entailment_BA",
    "snli",
    "scitail/snli_format",
    "hans",
    "WANLI",
    "recast/recast_kg_relations",
    "recast/recast_puns",
    "recast/recast_factuality",
    "recast/recast_megaveridicality",
    "recast/recast_verbcorner",
    "recast/recast_verbnet",
    "recast/recast_ner",
    "recast/recast_sentiment",
    "probability_words_nli/usnli",
    "probability_words_nli/reasoning_1hop",
    "probability_words_nli/reasoning_2hop",
    "nan-nli/joey234--nan-nli",
    "nli_fever",
    "breaking_nli",
    "conj_nli",
    "fracas",
    "dialogue_nli",
    "mpe",
    "dnc",
    "gpt3_nli",
    "recast_white/fnplus",
    "recast_white/sprl",
    "recast_white/dpr",
    "joci",
    "contrast_nli",
    "robust_nli/IS_CS",
    "robust_nli/LI_LI",
    "robust_nli/ST_WO",
    "robust_nli/PI_SP",
    "robust_nli/PI_CD",
    "robust_nli/ST_SE",
    "robust_nli/ST_NE",
    "robust_nli/ST_LM",
    "robust_nli_is_sd",
    "robust_nli_li_ts",
    "gen_debiased_nli/snli_seq_z",
    "gen_debiased_nli/snli_z_aug",
    "gen_debiased_nli/snli_par_z",
    "gen_debiased_nli/mnli_par_z",
    "gen_debiased_nli/mnli_z_aug",
    "gen_debiased_nli/mnli_seq_z",
    "add_one_rte",
    "imppres/presupposition_cleft_uniqueness/presupposition",
    "imppres/presupposition_possessed_definites_uniqueness/presupposition",
    "imppres/presupposition_possessed_definites_existence/presupposition",
    "imppres/presupposition_only_presupposition/presupposition",
    "imppres/presupposition_all_n_presupposition/presupposition",
    "imppres/presupposition_both_presupposition/presupposition",
    "imppres/presupposition_change_of_state/presupposition",
    "imppres/presupposition_cleft_existence/presupposition",
    "imppres/presupposition_question_presupposition/presupposition",
    "imppres/implicature_modals/prag",
    "imppres/implicature_numerals_10_100/prag",
    "imppres/implicature_numerals_2_3/prag",
    "imppres/implicature_gradable_adjective/prag",
    "imppres/implicature_quantifiers/prag",
    "imppres/implicature_gradable_verb/prag",
    "imppres/implicature_connectives/prag",
    "imppres/implicature_gradable_adjective/log",
    "imppres/implicature_gradable_verb/log",
    "imppres/implicature_numerals_2_3/log",
    "imppres/implicature_numerals_10_100/log",
    "imppres/implicature_modals/log",
    "imppres/implicature_quantifiers/log",
    "imppres/implicature_connectives/log",
    "glue_diagnostics/diagnostics",
    "hlgd",
    "paws/labeled_final",
    "paws/labeled_swap",
    "quora",
    "medical_questions_pairs",
    "conll2003/pos_tags",
    "conll2003/chunk_tags",
    "conll2003/ner_tags",
    "hh-rlhf",
    "model-written-evals",
    "truthful_qa/multiple_choice",
    "fig-qa",
    "bigbench/fantasy_reasoning",
    "bigbench/nonsense_words_grammar",
    "bigbench/analytic_entailment",
    "bigbench/logic_grid_puzzle",
    "bigbench/geometric_shapes",
    "bigbench/key_value_maps",
    "bigbench/analogical_similarity",
    "bigbench/metaphor_understanding",
    "bigbench/metaphor_boolean",
    "bigbench/ruin_names",
    "bigbench/cs_algorithms",
    "bigbench/physical_intuition",
    "bigbench/mnist_ascii",
    "bigbench/moral_permissibility",
    "bigbench/emoji_movie",
    "bigbench/snarks",
    "bigbench/timedial",
    "bigbench/dark_humor_detection",
    "bigbench/gre_reading_comprehension",
    "bigbench/empirical_judgments",
    "bigbench/causal_judgment",
    "bigbench/fact_checker",
    "bigbench/logical_fallacy_detection",
    "bigbench/identify_math_theorems",
    "bigbench/dyck_languages",
    "bigbench/winowhy",
    "bigbench/logical_sequence",
    "bigbench/strategyqa",
    "bigbench/unit_interpretation",
    "bigbench/authorship_verification",
    "bigbench/undo_permutation",
    "bigbench/epistemic_reasoning",
    "bigbench/human_organs_senses",
    "bigbench/misconceptions",
    "bigbench/international_phonetic_alphabet_nli",
    "bigbench/identify_odd_metaphor",
    "bigbench/mathematical_induction",
    "bigbench/odd_one_out",
    "bigbench/reasoning_about_colored_objects",
    "bigbench/strange_stories",
    "bigbench/evaluating_information_essentiality",
    "bigbench/figure_of_speech_detection",
    "bigbench/english_proverbs",
    "bigbench/general_knowledge",
    "bigbench/tracking_shuffled_objects",
    "bigbench/physics",
    "bigbench/anachronisms",
    "bigbench/simple_ethical_questions",
    "bigbench/logical_args",
    "bigbench/suicide_risk",
    "bigbench/sentence_ambiguity",
    "bigbench/temporal_sequences",
    "bigbench/penguins_in_a_table",
    "bigbench/sports_understanding",
    "bigbench/hyperbaton",
    "bigbench/code_line_description",
    "bigbench/question_selection",
    "bigbench/disambiguation_qa",
    "bigbench/date_understanding",
    "bigbench/play_dialog_same_or_different",
    "bigbench/salient_translation_error_detection",
    "bigbench/irony_identification",
    "bigbench/emojis_emotion_prediction",
    "bigbench/hindu_knowledge",
    "bigbench/conceptual_combinations",
    "bigbench/implicatures",
    "bigbench/movie_dialog_same_or_different",
    "bigbench/social_support",
    "bigbench/presuppositions_as_nli",
    "bigbench/vitaminc_fact_verification",
    "bigbench/hhh_alignment",
    "bigbench/implicit_relations",
    "bigbench/bbq_lite_json",
    "bigbench/phrase_relatedness",
    "bigbench/logical_deduction",
    "bigbench/discourse_marker_prediction",
    "bigbench/movie_recommendation",
    "bigbench/real_or_fake_text",
    "bigbench/formal_fallacies_syllogisms_negation",
    "bigbench/crass_ai",
    "blimp/inchoative",
    "blimp/principle_A_c_command",
    "blimp/matrix_question_npi_licensor_present",
    "blimp/wh_questions_subject_gap_long_distance",
    "blimp/sentential_subject_island",
    "blimp/existential_there_quantifiers_2",
    "blimp/sentential_negation_npi_scope",
    "blimp/complex_NP_island",
    "blimp/principle_A_reconstruction",
    "blimp/animate_subject_passive",
    "blimp/tough_vs_raising_1",
    "blimp/wh_vs_that_with_gap",
    "blimp/principle_A_domain_2",
    "blimp/npi_present_1",
    "blimp/wh_vs_that_with_gap_long_distance",
    "blimp/superlative_quantifiers_1",
    "blimp/npi_present_2",
    "blimp/wh_questions_object_gap",
    "blimp/coordinate_structure_constraint_complex_left_branch",
    "blimp/coordinate_structure_constraint_object_extraction",
    "blimp/left_branch_island_echo_question",
    "blimp/drop_argument",
    "cos_e/v1.0",
    "cosmos_qa",
    "dream",
    "openbookqa",
    "qasc",
    "quartz",
    "quail",
    "head_qa/en",
    "sciq",
    "social_i_qa",
    "wiki_hop",
    "wiqa",
    "piqa",
    "hellaswag",
    "super_glue/copa",
    "art",
    "hendrycks_test/moral_disputes",
    "hendrycks_test/moral_scenarios",
    "hendrycks_test/nutrition",
    "hendrycks_test/philosophy",
    "hendrycks_test/prehistory",
    "hendrycks_test/professional_accounting",
    "hendrycks_test/professional_law",
    "hendrycks_test/world_religions",
    "hendrycks_test/professional_psychology",
    "hendrycks_test/public_relations",
    "hendrycks_test/security_studies",
    "hendrycks_test/sociology",
    "hendrycks_test/us_foreign_policy",
    "hendrycks_test/virology",
    "hendrycks_test/miscellaneous",
    "hendrycks_test/professional_medicine",
    "hendrycks_test/medical_genetics",
    "hendrycks_test/college_mathematics",
    "hendrycks_test/management",
    "hendrycks_test/high_school_computer_science",
    "hendrycks_test/astronomy",
    "hendrycks_test/high_school_chemistry",
    "hendrycks_test/high_school_biology",
    "hendrycks_test/global_facts",
    "hendrycks_test/formal_logic",
    "hendrycks_test/elementary_mathematics",
    "hendrycks_test/high_school_european_history",
    "hendrycks_test/electrical_engineering",
    "hendrycks_test/conceptual_physics",
    "hendrycks_test/computer_security",
    "hendrycks_test/college_physics",
    "hendrycks_test/college_medicine",
    "hendrycks_test/college_computer_science",
    "hendrycks_test/college_chemistry",
    "hendrycks_test/college_biology",
    "hendrycks_test/econometrics",
    "hendrycks_test/clinical_knowledge",
    "hendrycks_test/anatomy",
    "hendrycks_test/marketing",
    "hendrycks_test/machine_learning",
    "hendrycks_test/logical_fallacies",
    "hendrycks_test/jurisprudence",
    "hendrycks_test/international_law",
    "hendrycks_test/human_sexuality",
    "hendrycks_test/human_aging",
    "hendrycks_test/high_school_world_history",
    "hendrycks_test/abstract_algebra",
    "hendrycks_test/high_school_us_history",
    "hendrycks_test/high_school_psychology",
    "hendrycks_test/high_school_physics",
    "hendrycks_test/high_school_microeconomics",
    "hendrycks_test/high_school_mathematics",
    "hendrycks_test/high_school_macroeconomics",
    "hendrycks_test/high_school_government_and_politics",
    "hendrycks_test/high_school_geography",
    "hendrycks_test/high_school_statistics",
    "hendrycks_test/business_ethics",
    "winogrande/winogrande_xl",
    "codah/codah",
    "ai2_arc/ARC-Challenge/challenge",
    "ai2_arc/ARC-Easy/challenge",
    "definite_pronoun_resolution",
    "swag",
    "math_qa",
    "utilitarianism",
    "TuringBench",
    "trec",
    "vitaminc/tals--vitaminc",
    "hope_edi/english",
    "rumoureval_2019/RumourEval2019",
    "ethos/binary",
    "ethos/multilabel",
    "glue/cola",
    "glue/sst2",
    "glue/mrpc",
    "glue/qqp",
    "glue/stsb",
    "glue/mnli",
    "glue/qnli",
    "glue/rte",
    "glue/wnli",
    "super_glue/boolq",
    "super_glue/cb",
    "super_glue/multirc",
    "super_glue/wic",
    "super_glue/axg",
    "tweet_eval/stance_feminist",
    "tweet_eval/stance_atheism",
    "tweet_eval/stance_hillary",
    "tweet_eval/stance_abortion",
    "tweet_eval/sentiment",
    "tweet_eval/offensive",
    "tweet_eval/stance_climate",
    "tweet_eval/irony",
    "tweet_eval/emotion",
    "tweet_eval/emoji",
    "tweet_eval/hate",
    "discovery/discovery",
    "pragmeval/switchboard",
    "pragmeval/squinky-informativeness",
    "pragmeval/emobank-arousal",
    "pragmeval/emobank-dominance",
    "pragmeval/emobank-valence",
    "pragmeval/mrda",
    "pragmeval/verifiability",
    "pragmeval/squinky-implicature",
    "pragmeval/squinky-formality",
    "pragmeval/gum",
    "pragmeval/emergent",
    "pragmeval/persuasiveness-premisetype",
    "pragmeval/pdtb",
    "pragmeval/persuasiveness-eloquence",
    "pragmeval/persuasiveness-specificity",
    "pragmeval/persuasiveness-strength",
    "pragmeval/sarcasm",
    "pragmeval/stac",
    "pragmeval/persuasiveness-claimtype",
    "pragmeval/persuasiveness-relevance",
    "lex_glue/eurlex",
    "lex_glue/scotus",
    "lex_glue/ledgar",
    "lex_glue/unfair_tos",
    "lex_glue/case_hold",
    "imdb",
    "rotten_tomatoes",
    "ag_news",
    "yelp_review_full/yelp_review_full",
    "financial_phrasebank/sentences_allagree",
    "poem_sentiment",
    "dbpedia_14/dbpedia_14",
    "amazon_polarity/amazon_polarity",
    "app_reviews",
    "hate_speech18",
    "sms_spam",
    "humicroedit/subtask-1",
    "humicroedit/subtask-2",
    "snips_built_in_intents",
    "banking77",
    "hate_speech_offensive",
    "hyperpartisan_news_detection/byarticle",
    "hyperpartisan_news_detection/bypublisher",
    "go_emotions/simplified",
    "scicite",
    "liar",
    "lexical_relation_classification/ROOT09",
    "lexical_relation_classification/EVALution",
    "lexical_relation_classification/CogALexV",
    "lexical_relation_classification/BLESS",
    "lexical_relation_classification/K&H+N",
    "linguisticprobing/coordination_inversion",
    "linguisticprobing/odd_man_out",
    "linguisticprobing/word_content",
    "linguisticprobing/obj_number",
    "linguisticprobing/past_present",
    "linguisticprobing/tree_depth",
    "linguisticprobing/sentence_length",
    "linguisticprobing/top_constituents",
    "linguisticprobing/bigram_shift",
    "linguisticprobing/subj_number",
    "crowdflower/sentiment_nuclear_power",
    "crowdflower/tweet_global_warming",
    "crowdflower/airline-sentiment",
    "crowdflower/economic-news",
    "crowdflower/political-media-audience",
    "crowdflower/political-media-bias",
    "crowdflower/political-media-message",
    "crowdflower/text_emotion",
    "crowdflower/corporate-messaging",
    "ethics/commonsense",
    "ethics/deontology",
    "ethics/justice",
    "ethics/virtue",
    "emo/emo2019",
    "google_wellformed_query",
    "tweets_hate_speech_detection",
    "adv_glue/adv_sst2",
    "adv_glue/adv_qqp",
    "adv_glue/adv_mnli",
    "adv_glue/adv_mnli_mismatched",
    "adv_glue/adv_qnli",
    "adv_glue/adv_rte",
    "has_part",
    "wnut_17/wnut_17",
    "ncbi_disease/ncbi_disease",
    "acronym_identification",
    "jnlpba/jnlpba",
    "species_800/species_800",
    "ontonotes_english/SpeedOfMagic--ontonotes_english",
    "blog_authorship_corpus/gender",
    "blog_authorship_corpus/age",
    "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",
    "code_x_glue_cc_defect_detection",
    "code_x_glue_cc_clone_detection_big_clone_bench",
    "code_x_glue_cc_code_refinement/medium",
    "EffectiveFeedbackStudentWriting",
    "promptSentiment",
    "promptNLI",
    "promptSpoke",
    "promptProficiency",
    "promptGrammar",
    "promptCoherence",
    "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"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.25.1",
  "type_vocab_size": 0,
  "vocab_size": 128100
}