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added_tokens.json

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config.json

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+    "robust_nli/ST_SE",
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+    "robust_nli/ST_LM",
+    "robust_nli_is_sd",
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+    "imppres/implicature_modals/log",
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+    "bigbench/gre_reading_comprehension",
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+    "bigbench/code_line_description",
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+    "bigbench/hhh_alignment",
+    "bigbench/english_proverbs",
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+    "bigbench/tracking_shuffled_objects",
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+    "bigbench/odd_one_out",
+    "bigbench/international_phonetic_alphabet_nli",
+    "bigbench/social_iqa",
+    "bigbench/logical_fallacy_detection",
+    "bigbench/hyperbaton",
+    "bigbench/novel_concepts",
+    "bigbench/similarities_abstraction",
+    "bigbench/timedial",
+    "bigbench/salient_translation_error_detection",
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+    "bigbench/winowhy",
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+    "bigbench/real_or_fake_text",
+    "bigbench/epistemic_reasoning",
+    "bigbench/riddle_sense",
+    "bigbench/identify_odd_metaphor",
+    "bigbench/human_organs_senses",
+    "bigbench/emojis_emotion_prediction",
+    "bigbench/logical_args",
+    "bigbench/anachronisms",
+    "bigbench/bbq_lite_json",
+    "bigbench/general_knowledge",
+    "bigbench/logical_sequence",
+    "bigbench/navigate",
+    "bigbench/analogical_similarity",
+    "bigbench/authorship_verification",
+    "bigbench/elementary_math_qa",
+    "bigbench/goal_step_wikihow",
+    "bigbench/empirical_judgments",
+    "bigbench/question_selection",
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+    "bigbench/contextual_parametric_knowledge_conflicts",
+    "bigbench/ruin_names",
+    "bigbench/abstract_narrative_understanding",
+    "bigbench/physics",
+    "bigbench/understanding_fables",
+    "bigbench/identify_math_theorems",
+    "bigbench/penguins_in_a_table",
+    "bigbench/vitaminc_fact_verification",
+    "bigbench/social_support",
+    "bigbench/strange_stories",
+    "bigbench/dark_humor_detection",
+    "bigbench/fantasy_reasoning",
+    "bigbench/logic_grid_puzzle",
+    "bigbench/emoji_movie",
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+    "bigbench/symbol_interpretation",
+    "bigbench/presuppositions_as_nli",
+    "bigbench/dyck_languages",
+    "bigbench/implicatures",
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+    "bigbench/intent_recognition",
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+    "utilitarianism",
+    "amazon_counterfactual/en",
+    "insincere-questions",
+    "toxic_conversations",
+    "TuringBench",
+    "trec",
+    "vitaminc",
+    "hope_edi/english",
+    "rumoureval_2019/RumourEval2019",
+    "ethos/binary",
+    "ethos/multilabel",
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+    "tweet_eval/offensive",
+    "tweet_eval/emotion",
+    "tweet_eval/hate",
+    "tweet_eval/irony",
+    "tweet_eval/sentiment",
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+    "tweet_eval/stance_climate",
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+    "lex_glue/case_hold",
+    "language-identification",
+    "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",
+    "hate_speech_offensive",
+    "yahoo_answers_topics",
+    "stackoverflow-questions",
+    "hyperpartisan_news",
+    "sciie",
+    "citation_intent",
+    "go_emotions/simplified",
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+    "linguisticprobing/subj_number",
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+    "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",
+    "defeasible-nli/atomic",
+    "defeasible-nli/snli",
+    "help-nli",
+    "nli-veridicality-transitivity",
+    "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",
+    "oasst2_dense_flat/quality",
+    "oasst2_dense_flat/toxicity",
+    "oasst2_dense_flat/helpfulness",
+    "mindgames",
+    "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",
+    "ConTRoL-nli",
+    "tracie",
+    "sherliic",
+    "sen-making/1",
+    "sen-making/2",
+    "winowhy",
+    "robustLR",
+    "v1/gen_train234_test2to10",
+    "logical-fallacy",
+    "parade",
+    "cladder",
+    "subjectivity",
+    "MOH",
+    "VUAC",
+    "sharc_modified/mod",
+    "conceptrules_v2",
+    "disrpt/eng.dep.scidtb.rels",
+    "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/default",
+    "FLD.v2/star",
+    "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-rejection-sampled",
+    "hh-rlhf/helpful-base",
+    "hh-rlhf/harmless-base",
+    "ruletaker",
+    "PARARULE-Plus",
+    "proofwriter",
+    "logical-entailment",
+    "nope",
+    "LogicNLI",
+    "contract-nli/contractnli_a/seg",
+    "contract-nli/contractnli_b/full",
+    "nli4ct_semeval2024",
+    "lsat-ar",
+    "lsat-rc",
+    "biosift-nli",
+    "brainteasers/SP",
+    "brainteasers/WP",
+    "persuasion",
+    "AmbigNQ-clarifying-question",
+    "SIGA-nli",
+    "FOL-nli",
+    "goal-step-wikihow/order",
+    "PARADISE",
+    "doc-nli",
+    "mctest-nli",
+    "patent-phrase-similarity",
+    "natural-language-satisfiability",
+    "idioms-nli",
+    "lifecycle-entailment",
+    "HelpSteer/helpfulness",
+    "HelpSteer/correctness",
+    "HelpSteer/coherence",
+    "HelpSteer/complexity",
+    "HelpSteer/verbosity",
+    "HelpSteer2/helpfulness",
+    "HelpSteer2/correctness",
+    "HelpSteer2/coherence",
+    "HelpSteer2/complexity",
+    "HelpSteer2/verbosity",
+    "MSciNLI",
+    "UltraFeedback-paired",
+    "AES2-essay-scoring",
+    "english-grading/cohesion",
+    "english-grading/syntax",
+    "english-grading/vocabulary",
+    "english-grading/phraseology",
+    "english-grading/grammar",
+    "english-grading/conventions",
+    "wice",
+    "hover",
+    "tasksource_dpo_pairs",
+    "seahorse_summarization_evaluation",
+    "babi_nli",
+    "gen_debiased_nli",
+    "imppres/presupposition",
+    "/prag",
+    "blimp-2"
+  ],
+  "transformers_version": "4.43.4",
+  "type_vocab_size": 0,
+  "vocab_size": 128100
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