Upload 7 files

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "sileod/deberta-v3-base-tasksource-nli",
+  "_name_or_path": "tasksource/deberta-base-long-nli",
   "architectures": [
     "DebertaV2ForSequenceClassification"
   ],
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   "hidden_act": "gelu",
@@ -527,7 +551,7 @@
     "neutral": 1
   },
   "layer_norm_eps": 1e-07,
-  "max_position_embeddings": 512,
+  "max_position_embeddings": 1280,
   "max_relative_positions": -1,
   "model_type": "deberta-v2",
   "norm_rel_ebd": "layer_norm",
@@ -568,18 +592,18 @@
     "scitail/snli_format",
     "hans",
     "WANLI",
-    "recast/recast_verbnet",
+    "recast/recast_puns",
+    "recast/recast_factuality",
     "recast/recast_kg_relations",
+    "recast/recast_verbnet",
+    "recast/recast_verbcorner",
     "recast/recast_ner",
-    "recast/recast_factuality",
-    "recast/recast_puns",
     "recast/recast_megaveridicality",
     "recast/recast_sentiment",
-    "recast/recast_verbcorner",
-    "probability_words_nli/usnli",
     "probability_words_nli/reasoning_1hop",
+    "probability_words_nli/usnli",
     "probability_words_nli/reasoning_2hop",
-    "nan-nli/joey234--nan-nli",
+    "nan-nli",
     "nli_fever",
     "breaking_nli",
     "conj_nli",
@@ -602,125 +626,120 @@
     "robust_nli_is_sd",
     "robust_nli_li_ts",
     "add_one_rte",
+    "imppres/implicature_gradable_adjective/log",
+    "imppres/implicature_modals/log",
     "imppres/implicature_numerals_10_100/log",
+    "imppres/implicature_quantifiers/log",
     "imppres/implicature_connectives/log",
-    "imppres/implicature_modals/log",
     "imppres/implicature_gradable_verb/log",
-    "imppres/implicature_gradable_adjective/log",
     "imppres/implicature_numerals_2_3/log",
-    "imppres/implicature_quantifiers/log",
-    "glue_diagnostics/diagnostics",
     "hlgd",
     "paws/labeled_final",
     "paws/labeled_swap",
     "medical_questions_pairs",
-    "conll2003/pos_tags",
-    "conll2003/chunk_tags",
-    "conll2003/ner_tags",
-    "hh-rlhf",
     "model-written-evals",
     "truthful_qa/multiple_choice",
     "fig-qa",
+    "bigbench/discourse_marker_prediction",
+    "bigbench/gre_reading_comprehension",
+    "bigbench/simple_ethical_questions",
+    "bigbench/known_unknowns",
+    "bigbench/fact_checker",
+    "bigbench/phrase_relatedness",
+    "bigbench/irony_identification",
+    "bigbench/crash_blossom",
     "bigbench/physical_intuition",
-    "bigbench/authorship_verification",
-    "bigbench/implicit_relations",
-    "bigbench/dyck_languages",
-    "bigbench/novel_concepts",
-    "bigbench/moral_permissibility",
-    "bigbench/metaphor_understanding",
-    "bigbench/temporal_sequences",
-    "bigbench/sports_understanding",
     "bigbench/analytic_entailment",
-    "bigbench/social_support",
-    "bigbench/emoji_movie",
-    "bigbench/dark_humor_detection",
-    "bigbench/suicide_risk",
-    "bigbench/fact_checker",
+    "bigbench/play_dialog_same_or_different",
+    "bigbench/metaphor_boolean",
+    "bigbench/undo_permutation",
+    "bigbench/disambiguation_qa",
+    "bigbench/metaphor_understanding",
+    "bigbench/nonsense_words_grammar",
+    "bigbench/logical_deduction",
+    "bigbench/sentence_ambiguity",
+    "bigbench/key_value_maps",
+    "bigbench/checkmate_in_one",
+    "bigbench/code_line_description",
+    "bigbench/crass_ai",
+    "bigbench/movie_dialog_same_or_different",
+    "bigbench/strategyqa",
     "bigbench/hhh_alignment",
-    "bigbench/formal_fallacies_syllogisms_negation",
-    "bigbench/bbq_lite_json",
-    "bigbench/cause_and_effect",
-    "bigbench/logic_grid_puzzle",
-    "bigbench/empirical_judgments",
-    "bigbench/human_organs_senses",
-    "bigbench/misconceptions",
-    "bigbench/strange_stories",
-    "bigbench/logical_args",
-    "bigbench/known_unknowns",
+    "bigbench/english_proverbs",
     "bigbench/cs_algorithms",
-    "bigbench/emojis_emotion_prediction",
-    "bigbench/cifar10_classification",
-    "bigbench/penguins_in_a_table",
-    "bigbench/odd_one_out",
-    "bigbench/intent_recognition",
-    "bigbench/physics",
+    "bigbench/formal_fallacies_syllogisms_negation",
     "bigbench/conceptual_combinations",
-    "bigbench/logical_deduction",
-    "bigbench/causal_judgment",
-    "bigbench/winowhy",
+    "bigbench/geometric_shapes",
+    "bigbench/tracking_shuffled_objects",
     "bigbench/arithmetic",
-    "bigbench/undo_permutation",
-    "bigbench/analogical_similarity",
+    "bigbench/misconceptions",
+    "bigbench/odd_one_out",
+    "bigbench/international_phonetic_alphabet_nli",
     "bigbench/social_iqa",
-    "bigbench/key_value_maps",
-    "bigbench/implicatures",
-    "bigbench/real_or_fake_text",
-    "bigbench/disambiguation_qa",
+    "bigbench/logical_fallacy_detection",
+    "bigbench/hyperbaton",
+    "bigbench/novel_concepts",
     "bigbench/similarities_abstraction",
-    "bigbench/movie_dialog_same_or_different",
-    "bigbench/english_proverbs",
-    "bigbench/presuppositions_as_nli",
-    "bigbench/entailed_polarity",
-    "bigbench/snarks",
-    "bigbench/goal_step_wikihow",
-    "bigbench/crass_ai",
-    "bigbench/play_dialog_same_or_different",
-    "bigbench/hindu_knowledge",
-    "bigbench/international_phonetic_alphabet_nli",
-    "bigbench/understanding_fables",
-    "bigbench/geometric_shapes",
-    "bigbench/code_line_description",
+    "bigbench/timedial",
+    "bigbench/salient_translation_error_detection",
+    "bigbench/cifar10_classification",
+    "bigbench/winowhy",
+    "bigbench/mathematical_induction",
+    "bigbench/real_or_fake_text",
+    "bigbench/epistemic_reasoning",
     "bigbench/riddle_sense",
-    "bigbench/symbol_interpretation",
-    "bigbench/irony_identification",
+    "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/crash_blossom",
-    "bigbench/identify_odd_metaphor",
-    "bigbench/simple_ethical_questions",
-    "bigbench/contextual_parametric_knowledge_conflicts",
+    "bigbench/analogical_similarity",
+    "bigbench/authorship_verification",
+    "bigbench/elementary_math_qa",
+    "bigbench/goal_step_wikihow",
+    "bigbench/empirical_judgments",
+    "bigbench/question_selection",
+    "bigbench/temporal_sequences",
+    "bigbench/mnist_ascii",
+    "bigbench/color",
     "bigbench/date_understanding",
     "bigbench/figure_of_speech_detection",
-    "bigbench/question_selection",
-    "bigbench/elementary_math_qa",
-    "bigbench/nonsense_words_grammar",
-    "bigbench/salient_translation_error_detection",
-    "bigbench/epistemic_reasoning",
-    "bigbench/movie_recommendation",
-    "bigbench/strategyqa",
-    "bigbench/tracking_shuffled_objects",
-    "bigbench/unit_interpretation",
-    "bigbench/reasoning_about_colored_objects",
-    "bigbench/discourse_marker_prediction",
-    "bigbench/logical_fallacy_detection",
-    "bigbench/general_knowledge",
+    "bigbench/contextual_parametric_knowledge_conflicts",
+    "bigbench/ruin_names",
     "bigbench/abstract_narrative_understanding",
-    "bigbench/color",
-    "bigbench/hyperbaton",
-    "bigbench/logical_sequence",
-    "bigbench/mnist_ascii",
-    "bigbench/fantasy_reasoning",
-    "bigbench/mathematical_induction",
-    "bigbench/timedial",
+    "bigbench/physics",
+    "bigbench/understanding_fables",
     "bigbench/identify_math_theorems",
-    "bigbench/checkmate_in_one",
-    "bigbench/phrase_relatedness",
-    "bigbench/ruin_names",
-    "bigbench/gre_reading_comprehension",
-    "bigbench/metaphor_boolean",
-    "bigbench/sentence_ambiguity",
+    "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",
+    "bigbench/moral_permissibility",
+    "bigbench/symbol_interpretation",
+    "bigbench/presuppositions_as_nli",
+    "bigbench/dyck_languages",
+    "bigbench/implicatures",
+    "bigbench/suicide_risk",
+    "bigbench/unit_interpretation",
+    "bigbench/intent_recognition",
+    "bigbench/movie_recommendation",
+    "bigbench/snarks",
     "bigbench/evaluating_information_essentiality",
+    "bigbench/sports_understanding",
+    "bigbench/entailed_polarity",
+    "bigbench/causal_judgment",
+    "bigbench/cause_and_effect",
+    "bigbench/implicit_relations",
+    "bigbench/reasoning_about_colored_objects",
+    "bigbench/hindu_knowledge",
     "cos_e/v1.0",
     "cosmos_qa",
     "dream",
@@ -741,8 +760,8 @@
     "art",
     "winogrande/winogrande_xl",
     "codah/codah",
-    "ai2_arc/ARC-Challenge/challenge",
     "ai2_arc/ARC-Easy/challenge",
+    "ai2_arc/ARC-Challenge/challenge",
     "definite_pronoun_resolution",
     "swag/regular",
     "math_qa",
@@ -754,51 +773,51 @@
     "toxic_conversations",
     "TuringBench",
     "trec",
-    "vitaminc/tals--vitaminc",
+    "vitaminc",
     "hope_edi/english",
     "rumoureval_2019/RumourEval2019",
     "ethos/binary",
     "ethos/multilabel",
-    "tweet_eval/sentiment",
-    "tweet_eval/irony",
+    "tweet_eval/emoji",
     "tweet_eval/offensive",
-    "tweet_eval/hate",
     "tweet_eval/emotion",
-    "tweet_eval/emoji",
+    "tweet_eval/hate",
+    "tweet_eval/irony",
+    "tweet_eval/sentiment",
     "tweet_eval/stance_abortion",
     "tweet_eval/stance_atheism",
     "tweet_eval/stance_climate",
     "tweet_eval/stance_feminist",
     "tweet_eval/stance_hillary",
     "discovery/discovery",
-    "pragmeval/squinky-informativeness",
-    "pragmeval/emobank-arousal",
-    "pragmeval/switchboard",
-    "pragmeval/squinky-implicature",
-    "pragmeval/emobank-valence",
-    "pragmeval/mrda",
     "pragmeval/squinky-formality",
+    "pragmeval/switchboard",
     "pragmeval/verifiability",
+    "pragmeval/mrda",
+    "pragmeval/squinky-informativeness",
+    "pragmeval/squinky-implicature",
+    "pragmeval/emobank-arousal",
     "pragmeval/emobank-dominance",
-    "pragmeval/persuasiveness-specificity",
-    "pragmeval/persuasiveness-strength",
-    "pragmeval/persuasiveness-claimtype",
-    "pragmeval/pdtb",
+    "pragmeval/emobank-valence",
     "pragmeval/sarcasm",
-    "pragmeval/stac",
+    "pragmeval/pdtb",
+    "pragmeval/persuasiveness-claimtype",
+    "pragmeval/persuasiveness-relevance",
     "pragmeval/persuasiveness-premisetype",
     "pragmeval/persuasiveness-eloquence",
+    "pragmeval/persuasiveness-strength",
+    "pragmeval/stac",
+    "pragmeval/persuasiveness-specificity",
     "pragmeval/gum",
     "pragmeval/emergent",
-    "pragmeval/persuasiveness-relevance",
-    "silicone/dyda_da",
-    "silicone/dyda_e",
-    "silicone/maptask",
-    "silicone/meld_e",
-    "silicone/meld_s",
     "silicone/sem",
-    "silicone/oasis",
+    "silicone/meld_e",
     "silicone/iemocap",
+    "silicone/maptask",
+    "silicone/dyda_e",
+    "silicone/dyda_da",
+    "silicone/oasis",
+    "silicone/meld_s",
     "lex_glue/eurlex",
     "lex_glue/scotus",
     "lex_glue/ledgar",
@@ -828,29 +847,29 @@
     "go_emotions/simplified",
     "scicite",
     "liar",
-    "lexical_relation_classification/ROOT09",
-    "lexical_relation_classification/BLESS",
-    "lexical_relation_classification/CogALexV",
     "lexical_relation_classification/EVALution",
+    "lexical_relation_classification/ROOT09",
     "lexical_relation_classification/K&H+N",
-    "linguisticprobing/coordination_inversion",
-    "linguisticprobing/obj_number",
+    "lexical_relation_classification/CogALexV",
+    "lexical_relation_classification/BLESS",
+    "linguisticprobing/subj_number",
     "linguisticprobing/past_present",
+    "linguisticprobing/obj_number",
     "linguisticprobing/sentence_length",
-    "linguisticprobing/subj_number",
-    "linguisticprobing/odd_man_out",
-    "linguisticprobing/tree_depth",
     "linguisticprobing/top_constituents",
+    "linguisticprobing/tree_depth",
+    "linguisticprobing/coordination_inversion",
+    "linguisticprobing/odd_man_out",
     "linguisticprobing/bigram_shift",
     "crowdflower/political-media-message",
+    "crowdflower/text_emotion",
     "crowdflower/political-media-audience",
     "crowdflower/economic-news",
-    "crowdflower/text_emotion",
-    "crowdflower/political-media-bias",
+    "crowdflower/corporate-messaging",
     "crowdflower/airline-sentiment",
     "crowdflower/tweet_global_warming",
-    "crowdflower/corporate-messaging",
     "crowdflower/sentiment_nuclear_power",
+    "crowdflower/political-media-bias",
     "ethics/commonsense",
     "ethics/deontology",
     "ethics/justice",
@@ -859,11 +878,6 @@
     "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",
@@ -877,13 +891,13 @@
     "phrase_similarity",
     "scientific-exaggeration-detection",
     "quarel",
-    "fever-evidence-related/mwong--fever-related",
+    "fever-evidence-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",
+    "auditor_review",
     "medmcqa",
     "Dynasent_Disagreement",
     "Politeness_Disagreement",
@@ -912,12 +926,10 @@
     "synthetic-instruct-gptj-pairwise",
     "scruples",
     "wouldyourather",
-    "attempto-nli",
-    "defeasible-nli/snli",
     "defeasible-nli/atomic",
+    "defeasible-nli/snli",
     "help-nli",
     "nli-veridicality-transitivity",
-    "natural-language-satisfiability",
     "lonli",
     "dadc-limit-nli",
     "FLUTE",
@@ -959,15 +971,10 @@
     "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",
+    "oasst2_dense_flat/quality",
+    "oasst2_dense_flat/toxicity",
+    "oasst2_dense_flat/helpfulness",
     "mindgames",
-    "universal_dependencies/en_lines/deprel",
-    "universal_dependencies/en_partut/deprel",
-    "universal_dependencies/en_ewt/deprel",
-    "universal_dependencies/en_gum/deprel",
     "ambient",
     "path-naturalness-prediction",
     "civil_comments/toxicity",
@@ -979,28 +986,17 @@
     "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",
@@ -1009,13 +1005,9 @@
     "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",
@@ -1034,7 +1026,8 @@
     "esci",
     "chatbot_arena_conversations",
     "dnd_style_intents",
-    "FLD.v2",
+    "FLD.v2/default",
+    "FLD.v2/star",
     "SDOH-NLI",
     "scifact_entailment",
     "feasibilityQA",
@@ -1045,15 +1038,70 @@
     "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",
-    "mmlu-4"
+    "blimp-2"
   ],
   "torch_dtype": "float32",
-  "transformers_version": "4.40.2",
+  "transformers_version": "4.45.2",
   "type_vocab_size": 0,
   "vocab_size": 128100
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ab2e0c8ce7b17e5da51a9f8730c4189da5f86756462399c2408b28beb21d6785
+oid sha256:ec79161279746937d440ec246eab9237f18f326059f1831201a5922b23474058
 size 737722356

tokenizer.json

@@ -2,13 +2,13 @@
   "version": "1.0",
   "truncation": {
     "direction": "Right",
-    "max_length": 256,
+    "max_length": 1280,
     "strategy": "LongestFirst",
     "stride": 0
   },
   "padding": {
     "strategy": {
-      "Fixed": 256
+      "Fixed": 1280
     },
     "direction": "Right",
     "pad_to_multiple_of": null,

tokenizer_config.json

@@ -47,7 +47,7 @@
   "do_lower_case": false,
   "eos_token": "[SEP]",
   "mask_token": "[MASK]",
-  "max_length": 256,
+  "max_length": 1280,
   "model_max_length": 1000000000000000019884624838656,
   "pad_to_multiple_of": null,
   "pad_token": "[PAD]",