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deberta-v3-base-tasksource-nli

Zero-Shot Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
text-classification
deberta-v3-base
deberta-v3
deberta
nli
natural-language-inference
multitask
multi-task
pipeline
extreme-multi-task
extreme-mtl
tasksource
zero-shot
rlhf
Eval Results
Inference Endpoints
Model card Files Community
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sileod commited on
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Upload DebertaV2ForSequenceClassification

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Files changed (2) hide show
  1. config.json +651 -2045
  2. pytorch_model.bin +2 -2
config.json CHANGED
@@ -1,1802 +1,439 @@
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  {
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- "_name_or_path": "deberta-tasksource-full",
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  "architectures": [
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  "DebertaV2ForSequenceClassification"
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  ],
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- "id2label": {
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- "0": "entailment",
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- "1": "neutral",
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- "2": "contradiction"
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- "label2id": {
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- "entailment": 0,
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- "neutral": 1,
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- "contradiction": 2
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- },
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  "attention_probs_dropout_prob": 0.1,
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  "classifiers_size": [
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1790
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1794
  ],
1795
  "hidden_act": "gelu",
1796
  "hidden_dropout_prob": 0.1,
1797
  "hidden_size": 768,
 
 
 
 
 
1798
  "initializer_range": 0.02,
1799
  "intermediate_size": 3072,
 
 
 
 
 
1800
  "layer_norm_eps": 1e-07,
1801
  "max_position_embeddings": 512,
1802
  "max_relative_positions": -1,
@@ -1817,47 +454,39 @@
1817
  "relative_attention": true,
1818
  "share_att_key": true,
1819
  "tasks": [
1820
- "babi_nli/counting",
1821
- "babi_nli/indefinite-knowledge",
1822
- "babi_nli/simple-negation",
1823
- "babi_nli/three-arg-relations",
1824
- "babi_nli/basic-induction",
1825
- "babi_nli/time-reasoning",
1826
- "babi_nli/compound-coreference",
1827
- "babi_nli/path-finding",
1828
- "babi_nli/positional-reasoning",
1829
- "babi_nli/conjunction",
1830
- "babi_nli/size-reasoning",
1831
- "babi_nli/yes-no-questions",
1832
- "babi_nli/basic-coreference",
1833
- "babi_nli/two-supporting-facts",
1834
- "babi_nli/lists-sets",
1835
- "babi_nli/two-arg-relations",
1836
- "babi_nli/three-supporting-facts",
1837
- "babi_nli/basic-deduction",
1838
- "babi_nli/single-supporting-fact",
1839
  "anli/a1",
1840
  "anli/a2",
1841
  "anli/a3",
1842
  "sick/label",
1843
  "sick/relatedness",
1844
  "sick/entailment_AB",
1845
- "sick/entailment_BA",
1846
  "snli",
1847
  "scitail/snli_format",
1848
  "hans",
1849
  "WANLI",
1850
- "recast/recast_kg_relations",
1851
- "recast/recast_puns",
1852
  "recast/recast_factuality",
1853
- "recast/recast_megaveridicality",
1854
  "recast/recast_verbcorner",
1855
- "recast/recast_verbnet",
 
1856
  "recast/recast_ner",
1857
  "recast/recast_sentiment",
 
 
1858
  "probability_words_nli/usnli",
1859
- "probability_words_nli/reasoning_1hop",
1860
  "probability_words_nli/reasoning_2hop",
 
1861
  "nan-nli/joey234--nan-nli",
1862
  "nli_fever",
1863
  "breaking_nli",
@@ -1882,35 +511,13 @@
1882
  "robust_nli/ST_LM",
1883
  "robust_nli_is_sd",
1884
  "robust_nli_li_ts",
1885
- "gen_debiased_nli/snli_seq_z",
1886
- "gen_debiased_nli/snli_z_aug",
1887
- "gen_debiased_nli/snli_par_z",
1888
- "gen_debiased_nli/mnli_par_z",
1889
- "gen_debiased_nli/mnli_z_aug",
1890
- "gen_debiased_nli/mnli_seq_z",
1891
  "add_one_rte",
1892
- "imppres/presupposition_cleft_uniqueness/presupposition",
1893
- "imppres/presupposition_possessed_definites_uniqueness/presupposition",
1894
- "imppres/presupposition_possessed_definites_existence/presupposition",
1895
- "imppres/presupposition_only_presupposition/presupposition",
1896
- "imppres/presupposition_all_n_presupposition/presupposition",
1897
- "imppres/presupposition_both_presupposition/presupposition",
1898
- "imppres/presupposition_change_of_state/presupposition",
1899
- "imppres/presupposition_cleft_existence/presupposition",
1900
- "imppres/presupposition_question_presupposition/presupposition",
1901
- "imppres/implicature_modals/prag",
1902
- "imppres/implicature_numerals_10_100/prag",
1903
- "imppres/implicature_numerals_2_3/prag",
1904
- "imppres/implicature_gradable_adjective/prag",
1905
- "imppres/implicature_quantifiers/prag",
1906
- "imppres/implicature_gradable_verb/prag",
1907
- "imppres/implicature_connectives/prag",
1908
- "imppres/implicature_gradable_adjective/log",
1909
- "imppres/implicature_gradable_verb/log",
1910
  "imppres/implicature_numerals_2_3/log",
1911
  "imppres/implicature_numerals_10_100/log",
1912
  "imppres/implicature_modals/log",
1913
- "imppres/implicature_quantifiers/log",
 
1914
  "imppres/implicature_connectives/log",
1915
  "glue_diagnostics/diagnostics",
1916
  "hlgd",
@@ -1925,108 +532,106 @@
1925
  "model-written-evals",
1926
  "truthful_qa/multiple_choice",
1927
  "fig-qa",
1928
- "bigbench/fantasy_reasoning",
 
 
 
 
 
 
 
 
 
 
 
 
1929
  "bigbench/nonsense_words_grammar",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1930
  "bigbench/analytic_entailment",
1931
- "bigbench/logic_grid_puzzle",
1932
- "bigbench/geometric_shapes",
1933
- "bigbench/key_value_maps",
1934
- "bigbench/analogical_similarity",
1935
- "bigbench/metaphor_understanding",
 
 
 
 
 
 
1936
  "bigbench/metaphor_boolean",
1937
- "bigbench/ruin_names",
1938
- "bigbench/cs_algorithms",
1939
- "bigbench/physical_intuition",
1940
- "bigbench/mnist_ascii",
1941
- "bigbench/moral_permissibility",
 
 
 
 
 
 
 
1942
  "bigbench/emoji_movie",
1943
- "bigbench/snarks",
1944
- "bigbench/timedial",
1945
  "bigbench/dark_humor_detection",
1946
- "bigbench/gre_reading_comprehension",
1947
- "bigbench/empirical_judgments",
1948
- "bigbench/causal_judgment",
1949
- "bigbench/fact_checker",
1950
  "bigbench/logical_fallacy_detection",
1951
- "bigbench/identify_math_theorems",
1952
- "bigbench/dyck_languages",
1953
- "bigbench/winowhy",
1954
- "bigbench/logical_sequence",
1955
  "bigbench/strategyqa",
1956
- "bigbench/unit_interpretation",
1957
- "bigbench/authorship_verification",
1958
- "bigbench/undo_permutation",
1959
  "bigbench/epistemic_reasoning",
1960
- "bigbench/human_organs_senses",
1961
- "bigbench/misconceptions",
1962
- "bigbench/international_phonetic_alphabet_nli",
1963
- "bigbench/identify_odd_metaphor",
1964
- "bigbench/mathematical_induction",
1965
- "bigbench/odd_one_out",
1966
- "bigbench/reasoning_about_colored_objects",
1967
- "bigbench/strange_stories",
1968
- "bigbench/evaluating_information_essentiality",
1969
- "bigbench/figure_of_speech_detection",
1970
- "bigbench/english_proverbs",
1971
- "bigbench/general_knowledge",
1972
- "bigbench/tracking_shuffled_objects",
1973
- "bigbench/physics",
1974
  "bigbench/anachronisms",
 
 
 
 
1975
  "bigbench/simple_ethical_questions",
1976
- "bigbench/logical_args",
1977
- "bigbench/suicide_risk",
1978
- "bigbench/sentence_ambiguity",
1979
- "bigbench/temporal_sequences",
1980
- "bigbench/penguins_in_a_table",
1981
- "bigbench/sports_understanding",
1982
  "bigbench/hyperbaton",
1983
- "bigbench/code_line_description",
 
 
 
 
 
 
 
1984
  "bigbench/question_selection",
1985
- "bigbench/disambiguation_qa",
1986
- "bigbench/date_understanding",
1987
- "bigbench/play_dialog_same_or_different",
1988
- "bigbench/salient_translation_error_detection",
1989
- "bigbench/irony_identification",
1990
- "bigbench/emojis_emotion_prediction",
1991
- "bigbench/hindu_knowledge",
1992
- "bigbench/conceptual_combinations",
1993
  "bigbench/implicatures",
 
 
 
1994
  "bigbench/movie_dialog_same_or_different",
1995
- "bigbench/social_support",
1996
- "bigbench/presuppositions_as_nli",
1997
- "bigbench/vitaminc_fact_verification",
1998
- "bigbench/hhh_alignment",
1999
- "bigbench/implicit_relations",
2000
  "bigbench/bbq_lite_json",
2001
- "bigbench/phrase_relatedness",
2002
- "bigbench/logical_deduction",
2003
- "bigbench/discourse_marker_prediction",
2004
- "bigbench/movie_recommendation",
2005
- "bigbench/real_or_fake_text",
2006
- "bigbench/formal_fallacies_syllogisms_negation",
2007
- "bigbench/crass_ai",
2008
- "blimp/inchoative",
2009
- "blimp/principle_A_c_command",
2010
- "blimp/matrix_question_npi_licensor_present",
2011
- "blimp/wh_questions_subject_gap_long_distance",
2012
- "blimp/sentential_subject_island",
2013
- "blimp/existential_there_quantifiers_2",
2014
- "blimp/sentential_negation_npi_scope",
2015
- "blimp/complex_NP_island",
2016
- "blimp/principle_A_reconstruction",
2017
- "blimp/animate_subject_passive",
2018
- "blimp/tough_vs_raising_1",
2019
- "blimp/wh_vs_that_with_gap",
2020
- "blimp/principle_A_domain_2",
2021
- "blimp/npi_present_1",
2022
- "blimp/wh_vs_that_with_gap_long_distance",
2023
- "blimp/superlative_quantifiers_1",
2024
- "blimp/npi_present_2",
2025
- "blimp/wh_questions_object_gap",
2026
- "blimp/coordinate_structure_constraint_complex_left_branch",
2027
- "blimp/coordinate_structure_constraint_object_extraction",
2028
- "blimp/left_branch_island_echo_question",
2029
- "blimp/drop_argument",
2030
  "cos_e/v1.0",
2031
  "cosmos_qa",
2032
  "dream",
@@ -2042,72 +647,22 @@
2042
  "piqa",
2043
  "hellaswag",
2044
  "super_glue/copa",
 
 
2045
  "art",
2046
- "hendrycks_test/moral_disputes",
2047
- "hendrycks_test/moral_scenarios",
2048
- "hendrycks_test/nutrition",
2049
- "hendrycks_test/philosophy",
2050
- "hendrycks_test/prehistory",
2051
- "hendrycks_test/professional_accounting",
2052
- "hendrycks_test/professional_law",
2053
- "hendrycks_test/world_religions",
2054
- "hendrycks_test/professional_psychology",
2055
- "hendrycks_test/public_relations",
2056
- "hendrycks_test/security_studies",
2057
- "hendrycks_test/sociology",
2058
- "hendrycks_test/us_foreign_policy",
2059
- "hendrycks_test/virology",
2060
- "hendrycks_test/miscellaneous",
2061
- "hendrycks_test/professional_medicine",
2062
- "hendrycks_test/medical_genetics",
2063
- "hendrycks_test/college_mathematics",
2064
- "hendrycks_test/management",
2065
- "hendrycks_test/high_school_computer_science",
2066
- "hendrycks_test/astronomy",
2067
- "hendrycks_test/high_school_chemistry",
2068
- "hendrycks_test/high_school_biology",
2069
- "hendrycks_test/global_facts",
2070
- "hendrycks_test/formal_logic",
2071
- "hendrycks_test/elementary_mathematics",
2072
- "hendrycks_test/high_school_european_history",
2073
- "hendrycks_test/electrical_engineering",
2074
- "hendrycks_test/conceptual_physics",
2075
- "hendrycks_test/computer_security",
2076
- "hendrycks_test/college_physics",
2077
- "hendrycks_test/college_medicine",
2078
- "hendrycks_test/college_computer_science",
2079
- "hendrycks_test/college_chemistry",
2080
- "hendrycks_test/college_biology",
2081
- "hendrycks_test/econometrics",
2082
- "hendrycks_test/clinical_knowledge",
2083
- "hendrycks_test/anatomy",
2084
- "hendrycks_test/marketing",
2085
- "hendrycks_test/machine_learning",
2086
- "hendrycks_test/logical_fallacies",
2087
- "hendrycks_test/jurisprudence",
2088
- "hendrycks_test/international_law",
2089
- "hendrycks_test/human_sexuality",
2090
- "hendrycks_test/human_aging",
2091
- "hendrycks_test/high_school_world_history",
2092
- "hendrycks_test/abstract_algebra",
2093
- "hendrycks_test/high_school_us_history",
2094
- "hendrycks_test/high_school_psychology",
2095
- "hendrycks_test/high_school_physics",
2096
- "hendrycks_test/high_school_microeconomics",
2097
- "hendrycks_test/high_school_mathematics",
2098
- "hendrycks_test/high_school_macroeconomics",
2099
- "hendrycks_test/high_school_government_and_politics",
2100
- "hendrycks_test/high_school_geography",
2101
- "hendrycks_test/high_school_statistics",
2102
- "hendrycks_test/business_ethics",
2103
  "winogrande/winogrande_xl",
2104
  "codah/codah",
2105
- "ai2_arc/ARC-Challenge/challenge",
2106
  "ai2_arc/ARC-Easy/challenge",
 
2107
  "definite_pronoun_resolution",
2108
  "swag",
2109
  "math_qa",
 
 
2110
  "utilitarianism",
 
 
 
2111
  "TuringBench",
2112
  "trec",
2113
  "vitaminc/tals--vitaminc",
@@ -2115,57 +670,52 @@
2115
  "rumoureval_2019/RumourEval2019",
2116
  "ethos/binary",
2117
  "ethos/multilabel",
2118
- "glue/cola",
2119
- "glue/sst2",
2120
- "glue/mrpc",
2121
- "glue/qqp",
2122
- "glue/stsb",
2123
- "glue/mnli",
2124
- "glue/qnli",
2125
- "glue/rte",
2126
- "glue/wnli",
2127
- "super_glue/boolq",
2128
- "super_glue/cb",
2129
- "super_glue/multirc",
2130
- "super_glue/wic",
2131
- "super_glue/axg",
2132
- "tweet_eval/stance_feminist",
2133
  "tweet_eval/stance_atheism",
 
2134
  "tweet_eval/stance_hillary",
 
2135
  "tweet_eval/stance_abortion",
2136
- "tweet_eval/sentiment",
2137
- "tweet_eval/offensive",
2138
- "tweet_eval/stance_climate",
2139
- "tweet_eval/irony",
2140
- "tweet_eval/emotion",
2141
- "tweet_eval/emoji",
2142
- "tweet_eval/hate",
2143
  "discovery/discovery",
2144
- "pragmeval/switchboard",
2145
  "pragmeval/squinky-informativeness",
2146
- "pragmeval/emobank-arousal",
2147
- "pragmeval/emobank-dominance",
2148
- "pragmeval/emobank-valence",
2149
- "pragmeval/mrda",
2150
  "pragmeval/verifiability",
2151
- "pragmeval/squinky-implicature",
2152
  "pragmeval/squinky-formality",
2153
- "pragmeval/gum",
2154
- "pragmeval/emergent",
 
 
 
 
2155
  "pragmeval/persuasiveness-premisetype",
 
2156
  "pragmeval/pdtb",
2157
- "pragmeval/persuasiveness-eloquence",
2158
- "pragmeval/persuasiveness-specificity",
2159
  "pragmeval/persuasiveness-strength",
2160
  "pragmeval/sarcasm",
2161
- "pragmeval/stac",
 
2162
  "pragmeval/persuasiveness-claimtype",
2163
- "pragmeval/persuasiveness-relevance",
 
 
 
 
 
 
 
 
 
2164
  "lex_glue/eurlex",
2165
  "lex_glue/scotus",
2166
  "lex_glue/ledgar",
2167
  "lex_glue/unfair_tos",
2168
  "lex_glue/case_hold",
 
2169
  "imdb",
2170
  "rotten_tomatoes",
2171
  "ag_news",
@@ -2182,34 +732,36 @@
2182
  "snips_built_in_intents",
2183
  "banking77",
2184
  "hate_speech_offensive",
2185
- "hyperpartisan_news_detection/byarticle",
2186
- "hyperpartisan_news_detection/bypublisher",
 
 
 
2187
  "go_emotions/simplified",
2188
  "scicite",
2189
  "liar",
2190
- "lexical_relation_classification/ROOT09",
2191
- "lexical_relation_classification/EVALution",
2192
  "lexical_relation_classification/CogALexV",
2193
- "lexical_relation_classification/BLESS",
2194
  "lexical_relation_classification/K&H+N",
2195
- "linguisticprobing/coordination_inversion",
2196
- "linguisticprobing/odd_man_out",
2197
- "linguisticprobing/word_content",
2198
- "linguisticprobing/obj_number",
2199
- "linguisticprobing/past_present",
2200
- "linguisticprobing/tree_depth",
2201
- "linguisticprobing/sentence_length",
2202
  "linguisticprobing/top_constituents",
2203
  "linguisticprobing/bigram_shift",
 
 
 
 
 
2204
  "linguisticprobing/subj_number",
 
 
 
 
2205
  "crowdflower/sentiment_nuclear_power",
 
 
2206
  "crowdflower/tweet_global_warming",
2207
  "crowdflower/airline-sentiment",
2208
- "crowdflower/economic-news",
2209
- "crowdflower/political-media-audience",
2210
- "crowdflower/political-media-bias",
2211
- "crowdflower/political-media-message",
2212
- "crowdflower/text_emotion",
2213
  "crowdflower/corporate-messaging",
2214
  "ethics/commonsense",
2215
  "ethics/deontology",
@@ -2218,18 +770,11 @@
2218
  "emo/emo2019",
2219
  "google_wellformed_query",
2220
  "tweets_hate_speech_detection",
2221
- "adv_glue/adv_sst2",
2222
- "adv_glue/adv_qqp",
2223
- "adv_glue/adv_mnli",
2224
- "adv_glue/adv_mnli_mismatched",
2225
- "adv_glue/adv_qnli",
2226
- "adv_glue/adv_rte",
2227
  "has_part",
2228
  "wnut_17/wnut_17",
2229
  "ncbi_disease/ncbi_disease",
2230
  "acronym_identification",
2231
  "jnlpba/jnlpba",
2232
- "species_800/species_800",
2233
  "ontonotes_english/SpeedOfMagic--ontonotes_english",
2234
  "blog_authorship_corpus/gender",
2235
  "blog_authorship_corpus/age",
@@ -2242,9 +787,6 @@
2242
  "ade_corpus_v2/Ade_corpus_v2_classification",
2243
  "discosense",
2244
  "circa",
2245
- "code_x_glue_cc_defect_detection",
2246
- "code_x_glue_cc_clone_detection_big_clone_bench",
2247
- "code_x_glue_cc_code_refinement/medium",
2248
  "EffectiveFeedbackStudentWriting",
2249
  "promptSentiment",
2250
  "promptNLI",
@@ -2260,10 +802,74 @@
2260
  "dynasent/dynabench.dynasent.r1.all/r1",
2261
  "dynasent/dynabench.dynasent.r2.all/r2",
2262
  "Sarcasm_News_Headline",
2263
- "sem_eval_2010_task_8"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2264
  ],
2265
  "torch_dtype": "float32",
2266
- "transformers_version": "4.25.1",
2267
  "type_vocab_size": 0,
2268
  "vocab_size": 128100
2269
  }
 
1
  {
2
+ "_name_or_path": "microsoft/deberta-v3-base",
3
  "architectures": [
4
  "DebertaV2ForSequenceClassification"
5
  ],
 
 
 
 
 
 
 
 
 
 
6
  "attention_probs_dropout_prob": 0.1,
7
  "classifiers_size": [
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421
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422
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423
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424
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425
+ "id2label": {
426
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427
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428
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430
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439
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454
  "relative_attention": true,
455
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456
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457
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458
+ "glue/qnli",
459
+ "glue/rte",
460
+ "glue/wnli",
461
+ "glue/mrpc",
462
+ "glue/qqp",
463
+ "glue/stsb",
464
+ "super_glue/boolq",
465
+ "super_glue/cb",
466
+ "super_glue/multirc",
467
+ "super_glue/wic",
468
+ "super_glue/axg",
 
 
 
 
 
 
 
469
  "anli/a1",
470
  "anli/a2",
471
  "anli/a3",
472
  "sick/label",
473
  "sick/relatedness",
474
  "sick/entailment_AB",
 
475
  "snli",
476
  "scitail/snli_format",
477
  "hans",
478
  "WANLI",
 
 
479
  "recast/recast_factuality",
 
480
  "recast/recast_verbcorner",
481
+ "recast/recast_puns",
482
+ "recast/recast_kg_relations",
483
  "recast/recast_ner",
484
  "recast/recast_sentiment",
485
+ "recast/recast_megaveridicality",
486
+ "recast/recast_verbnet",
487
  "probability_words_nli/usnli",
 
488
  "probability_words_nli/reasoning_2hop",
489
+ "probability_words_nli/reasoning_1hop",
490
  "nan-nli/joey234--nan-nli",
491
  "nli_fever",
492
  "breaking_nli",
 
511
  "robust_nli/ST_LM",
512
  "robust_nli_is_sd",
513
  "robust_nli_li_ts",
 
 
 
 
 
 
514
  "add_one_rte",
515
+ "imppres/implicature_quantifiers/log",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
516
  "imppres/implicature_numerals_2_3/log",
517
  "imppres/implicature_numerals_10_100/log",
518
  "imppres/implicature_modals/log",
519
+ "imppres/implicature_gradable_verb/log",
520
+ "imppres/implicature_gradable_adjective/log",
521
  "imppres/implicature_connectives/log",
522
  "glue_diagnostics/diagnostics",
523
  "hlgd",
 
532
  "model-written-evals",
533
  "truthful_qa/multiple_choice",
534
  "fig-qa",
535
+ "bigbench/similarities_abstraction",
536
+ "bigbench/tracking_shuffled_objects",
537
+ "bigbench/dyck_languages",
538
+ "bigbench/cause_and_effect",
539
+ "bigbench/contextual_parametric_knowledge_conflicts",
540
+ "bigbench/logical_deduction",
541
+ "bigbench/movie_recommendation",
542
+ "bigbench/hhh_alignment",
543
+ "bigbench/checkmate_in_one",
544
+ "bigbench/discourse_marker_prediction",
545
+ "bigbench/identify_odd_metaphor",
546
+ "bigbench/entailed_polarity",
547
+ "bigbench/novel_concepts",
548
  "bigbench/nonsense_words_grammar",
549
+ "bigbench/goal_step_wikihow",
550
+ "bigbench/sports_understanding",
551
+ "bigbench/moral_permissibility",
552
+ "bigbench/code_line_description",
553
+ "bigbench/odd_one_out",
554
+ "bigbench/empirical_judgments",
555
+ "bigbench/gre_reading_comprehension",
556
+ "bigbench/reasoning_about_colored_objects",
557
+ "bigbench/identify_math_theorems",
558
+ "bigbench/abstract_narrative_understanding",
559
+ "bigbench/date_understanding",
560
+ "bigbench/play_dialog_same_or_different",
561
+ "bigbench/real_or_fake_text",
562
+ "bigbench/crass_ai",
563
+ "bigbench/international_phonetic_alphabet_nli",
564
+ "bigbench/presuppositions_as_nli",
565
+ "bigbench/ruin_names",
566
+ "bigbench/sentence_ambiguity",
567
+ "bigbench/intent_recognition",
568
  "bigbench/analytic_entailment",
569
+ "bigbench/conceptual_combinations",
570
+ "bigbench/implicit_relations",
571
+ "bigbench/emojis_emotion_prediction",
572
+ "bigbench/hindu_knowledge",
573
+ "bigbench/elementary_math_qa",
574
+ "bigbench/mathematical_induction",
575
+ "bigbench/irony_identification",
576
+ "bigbench/authorship_verification",
577
+ "bigbench/disambiguation_qa",
578
+ "bigbench/general_knowledge",
579
+ "bigbench/known_unknowns",
580
  "bigbench/metaphor_boolean",
581
+ "bigbench/logical_args",
582
+ "bigbench/metaphor_understanding",
583
+ "bigbench/arithmetic",
584
+ "bigbench/salient_translation_error_detection",
585
+ "bigbench/human_organs_senses",
586
+ "bigbench/formal_fallacies_syllogisms_negation",
587
+ "bigbench/fantasy_reasoning",
588
+ "bigbench/fact_checker",
589
+ "bigbench/unit_interpretation",
590
+ "bigbench/vitaminc_fact_verification",
591
+ "bigbench/cifar10_classification",
592
+ "bigbench/social_iqa",
593
  "bigbench/emoji_movie",
 
 
594
  "bigbench/dark_humor_detection",
595
+ "bigbench/understanding_fables",
596
+ "bigbench/symbol_interpretation",
597
+ "bigbench/social_support",
 
598
  "bigbench/logical_fallacy_detection",
599
+ "bigbench/causal_judgment",
 
 
 
600
  "bigbench/strategyqa",
 
 
 
601
  "bigbench/epistemic_reasoning",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
602
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603
+ "bigbench/mnist_ascii",
604
+ "bigbench/crash_blossom",
605
+ "bigbench/english_proverbs",
606
+ "bigbench/cs_algorithms",
607
  "bigbench/simple_ethical_questions",
 
 
 
 
 
 
608
  "bigbench/hyperbaton",
609
+ "bigbench/key_value_maps",
610
+ "bigbench/physics",
611
+ "bigbench/figure_of_speech_detection",
612
+ "bigbench/undo_permutation",
613
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614
+ "bigbench/geometric_shapes",
615
+ "bigbench/analogical_similarity",
616
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617
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618
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619
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620
+ "bigbench/logic_grid_puzzle",
621
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622
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623
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624
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625
+ "bigbench/riddle_sense",
626
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627
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628
+ "bigbench/suicide_risk",
629
+ "bigbench/physical_intuition",
630
  "bigbench/movie_dialog_same_or_different",
631
+ "bigbench/navigate",
632
+ "bigbench/penguins_in_a_table",
633
+ "bigbench/strange_stories",
 
 
634
  "bigbench/bbq_lite_json",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
635
  "cos_e/v1.0",
636
  "cosmos_qa",
637
  "dream",
 
647
  "piqa",
648
  "hellaswag",
649
  "super_glue/copa",
650
+ "balanced-copa",
651
+ "e-CARE",
652
  "art",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
653
  "winogrande/winogrande_xl",
654
  "codah/codah",
 
655
  "ai2_arc/ARC-Easy/challenge",
656
+ "ai2_arc/ARC-Challenge/challenge",
657
  "definite_pronoun_resolution",
658
  "swag",
659
  "math_qa",
660
+ "glue/cola",
661
+ "glue/sst2",
662
  "utilitarianism",
663
+ "amazon_counterfactual/en",
664
+ "insincere-questions",
665
+ "toxic_conversations",
666
  "TuringBench",
667
  "trec",
668
  "vitaminc/tals--vitaminc",
 
670
  "rumoureval_2019/RumourEval2019",
671
  "ethos/binary",
672
  "ethos/multilabel",
673
+ "tweet_eval/emoji",
674
+ "tweet_eval/emotion",
675
+ "tweet_eval/hate",
676
+ "tweet_eval/offensive",
677
+ "tweet_eval/sentiment",
678
+ "tweet_eval/irony",
 
 
 
 
 
 
 
 
 
679
  "tweet_eval/stance_atheism",
680
+ "tweet_eval/stance_climate",
681
  "tweet_eval/stance_hillary",
682
+ "tweet_eval/stance_feminist",
683
  "tweet_eval/stance_abortion",
 
 
 
 
 
 
 
684
  "discovery/discovery",
 
685
  "pragmeval/squinky-informativeness",
 
 
 
 
686
  "pragmeval/verifiability",
 
687
  "pragmeval/squinky-formality",
688
+ "pragmeval/squinky-implicature",
689
+ "pragmeval/emobank-dominance",
690
+ "pragmeval/emobank-arousal",
691
+ "pragmeval/switchboard",
692
+ "pragmeval/mrda",
693
+ "pragmeval/emobank-valence",
694
  "pragmeval/persuasiveness-premisetype",
695
+ "pragmeval/persuasiveness-relevance",
696
  "pragmeval/pdtb",
697
+ "pragmeval/stac",
 
698
  "pragmeval/persuasiveness-strength",
699
  "pragmeval/sarcasm",
700
+ "pragmeval/gum",
701
+ "pragmeval/persuasiveness-eloquence",
702
  "pragmeval/persuasiveness-claimtype",
703
+ "pragmeval/persuasiveness-specificity",
704
+ "pragmeval/emergent",
705
+ "silicone/maptask",
706
+ "silicone/oasis",
707
+ "silicone/meld_s",
708
+ "silicone/meld_e",
709
+ "silicone/iemocap",
710
+ "silicone/dyda_e",
711
+ "silicone/dyda_da",
712
+ "silicone/sem",
713
  "lex_glue/eurlex",
714
  "lex_glue/scotus",
715
  "lex_glue/ledgar",
716
  "lex_glue/unfair_tos",
717
  "lex_glue/case_hold",
718
+ "language-identification",
719
  "imdb",
720
  "rotten_tomatoes",
721
  "ag_news",
 
732
  "snips_built_in_intents",
733
  "banking77",
734
  "hate_speech_offensive",
735
+ "yahoo_answers_topics",
736
+ "stackoverflow-questions",
737
+ "hyperpartisan_news",
738
+ "sciie",
739
+ "citation_intent",
740
  "go_emotions/simplified",
741
  "scicite",
742
  "liar",
 
 
743
  "lexical_relation_classification/CogALexV",
744
+ "lexical_relation_classification/EVALution",
745
  "lexical_relation_classification/K&H+N",
746
+ "lexical_relation_classification/ROOT09",
747
+ "lexical_relation_classification/BLESS",
 
 
 
 
 
748
  "linguisticprobing/top_constituents",
749
  "linguisticprobing/bigram_shift",
750
+ "linguisticprobing/odd_man_out",
751
+ "linguisticprobing/coordination_inversion",
752
+ "linguisticprobing/sentence_length",
753
+ "linguisticprobing/past_present",
754
+ "linguisticprobing/obj_number",
755
  "linguisticprobing/subj_number",
756
+ "linguisticprobing/tree_depth",
757
+ "crowdflower/economic-news",
758
+ "crowdflower/text_emotion",
759
+ "crowdflower/political-media-message",
760
  "crowdflower/sentiment_nuclear_power",
761
+ "crowdflower/political-media-bias",
762
+ "crowdflower/political-media-audience",
763
  "crowdflower/tweet_global_warming",
764
  "crowdflower/airline-sentiment",
 
 
 
 
 
765
  "crowdflower/corporate-messaging",
766
  "ethics/commonsense",
767
  "ethics/deontology",
 
770
  "emo/emo2019",
771
  "google_wellformed_query",
772
  "tweets_hate_speech_detection",
 
 
 
 
 
 
773
  "has_part",
774
  "wnut_17/wnut_17",
775
  "ncbi_disease/ncbi_disease",
776
  "acronym_identification",
777
  "jnlpba/jnlpba",
 
778
  "ontonotes_english/SpeedOfMagic--ontonotes_english",
779
  "blog_authorship_corpus/gender",
780
  "blog_authorship_corpus/age",
 
787
  "ade_corpus_v2/Ade_corpus_v2_classification",
788
  "discosense",
789
  "circa",
 
 
 
790
  "EffectiveFeedbackStudentWriting",
791
  "promptSentiment",
792
  "promptNLI",
 
802
  "dynasent/dynabench.dynasent.r1.all/r1",
803
  "dynasent/dynabench.dynasent.r2.all/r2",
804
  "Sarcasm_News_Headline",
805
+ "sem_eval_2010_task_8",
806
+ "auditor_review/demo-org--auditor_review",
807
+ "medmcqa",
808
+ "aqua_rat/tokenized",
809
+ "Dynasent_Disagreement",
810
+ "Politeness_Disagreement",
811
+ "SBIC_Disagreement",
812
+ "SChem_Disagreement",
813
+ "Dilemmas_Disagreement",
814
+ "logiqa",
815
+ "wiki_qa",
816
+ "cycic_classification",
817
+ "cycic_multiplechoice",
818
+ "sts-companion",
819
+ "commonsense_qa_2.0",
820
+ "lingnli",
821
+ "monotonicity-entailment",
822
+ "arct",
823
+ "scinli",
824
+ "naturallogic",
825
+ "onestop_qa",
826
+ "moral_stories/full",
827
+ "prost",
828
+ "dynahate",
829
+ "syntactic-augmentation-nli",
830
+ "autotnli",
831
+ "CONDAQA",
832
+ "webgpt_comparisons",
833
+ "synthetic-instruct-gptj-pairwise",
834
+ "scruples",
835
+ "wouldyourather",
836
+ "attempto-nli",
837
+ "defeasible-nli/atomic",
838
+ "defeasible-nli/snli",
839
+ "nli-veridicality-transitivity",
840
+ "natural-language-satisfiability",
841
+ "lonli",
842
+ "dadc-limit-nli",
843
+ "FLUTE",
844
+ "strategy-qa",
845
+ "summarize_from_feedback/comparisons",
846
+ "folio",
847
+ "tomi-nli",
848
+ "avicenna",
849
+ "SHP",
850
+ "MedQA-USMLE-4-options-hf",
851
+ "wikimedqa/medwiki",
852
+ "cicero",
853
+ "CREAK",
854
+ "mutual",
855
+ "NeQA",
856
+ "quote-repetition",
857
+ "redefine-math",
858
+ "puzzte",
859
+ "implicatures",
860
+ "race/high",
861
+ "race/middle",
862
+ "spartqa-yn",
863
+ "spartqa-mchoice",
864
+ "babi_nli",
865
+ "gen_debiased_nli",
866
+ "imppres/presupposition",
867
+ "/prag",
868
+ "blimp-2",
869
+ "mmlu-4"
870
  ],
871
  "torch_dtype": "float32",
872
+ "transformers_version": "4.26.1",
873
  "type_vocab_size": 0,
874
  "vocab_size": 128100
875
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