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added_tokens.json

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+    "bigbench/misconceptions",
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+    "bigbench/anachronisms",
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+    "bigbench/key_value_maps",
+    "bigbench/goal_step_wikihow",
+    "bigbench/vitaminc_fact_verification",
+    "bigbench/known_unknowns",
+    "bigbench/cs_algorithms",
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+    "bigbench/epistemic_reasoning",
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+    "bigbench/understanding_fables",
+    "bigbench/causal_judgment",
+    "bigbench/play_dialog_same_or_different",
+    "bigbench/conceptual_combinations",
+    "bigbench/sports_understanding",
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+    "bigbench/sentence_ambiguity",
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+    "bigbench/timedial",
+    "bigbench/ruin_names",
+    "bigbench/physical_intuition",
+    "bigbench/winowhy",
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+    "bigbench/dark_humor_detection",
+    "bigbench/moral_permissibility",
+    "bigbench/code_line_description",
+    "bigbench/temporal_sequences",
+    "bigbench/figure_of_speech_detection",
+    "bigbench/fantasy_reasoning",
+    "bigbench/fact_checker",
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+    "bigbench/presuppositions_as_nli",
+    "bigbench/physics",
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+    "ai2_arc/ARC-Easy/challenge",
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+    "amazon_counterfactual/en",
+    "insincere-questions",
+    "toxic_conversations",
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+    "vitaminc/tals--vitaminc",
+    "hope_edi/english",
+    "rumoureval_2019/RumourEval2019",
+    "ethos/binary",
+    "ethos/multilabel",
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+    "tweet_eval/irony",
+    "tweet_eval/offensive",
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+    "tweet_eval/hate",
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+    "pragmeval/gum",
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+    "lex_glue/case_hold",
+    "language-identification",
+    "imdb",
+    "rotten_tomatoes",
+    "ag_news",
+    "yelp_review_full/yelp_review_full",
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+    "poem_sentiment",
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+    "amazon_polarity/amazon_polarity",
+    "app_reviews",
+    "hate_speech18",
+    "sms_spam",
+    "humicroedit/subtask-1",
+    "humicroedit/subtask-2",
+    "snips_built_in_intents",
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+    "chaos-mnli-ambiguity",
+    "headline_cause/en_simple",
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+    "oasst1_dense_flat/quality",
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+    "twitter-financial-news-sentiment",
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onnx/model.onnx

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onnx/model_quantized.onnx

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quantize_config.json

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+{
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+}

special_tokens_map.json

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tokenizer_config.json

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+}