"configs/vqa/re/layoutlmv2.yml" did not exist on "d8571bdb2ae5551466b1e56782580f0a304dd9cd"
__init__.py 17.2 KB
Newer Older
&'s avatar
& committed
1
from pprint import pprint
2
from typing import List, Union
&'s avatar
& committed
3

&'s avatar
& committed
4
import sacrebleu
5
import lm_eval.base
&'s avatar
& committed
6

Niklas Muennighoff's avatar
v1  
Niklas Muennighoff committed
7
from . import babi
Jason Phang's avatar
Jason Phang committed
8
9
from . import superglue
from . import glue
Leo Gao's avatar
Leo Gao committed
10
from . import arc
thefazzer's avatar
thefazzer committed
11
from . import coqa
Leo Gao's avatar
Leo Gao committed
12
from . import race
Leo Gao's avatar
Leo Gao committed
13
from . import webqs
Leo Gao's avatar
Leo Gao committed
14
from . import anli
15
from . import wsc273
Charles Foster's avatar
Charles Foster committed
16
from . import winogrande
Charles Foster's avatar
Charles Foster committed
17
from . import quac
Charles Foster's avatar
Charles Foster committed
18
from . import hellaswag
jon-tow's avatar
jon-tow committed
19
from . import swag
Charles Foster's avatar
Charles Foster committed
20
from . import openbookqa
Charles Foster's avatar
Charles Foster committed
21
from . import squad
22
from . import naturalqs
23
from . import sat
24
from . import arithmetic
Leo Gao's avatar
Leo Gao committed
25
from . import lambada
Leo Gao's avatar
Leo Gao committed
26
from . import piqa
Jonathan Tow's avatar
Jonathan Tow committed
27
from . import prost
Jonathan Tow's avatar
Jonathan Tow committed
28
from . import mc_taco
29
from . import triviaqa
jeffhsu3's avatar
jeffhsu3 committed
30
from . import pubmedqa
31
from . import sciq
32
from . import qasper
33
from . import qa4mre
&'s avatar
& committed
34
from . import translation
35
36
from . import headqa
from . import mathqa
Leo Gao's avatar
Leo Gao committed
37
from . import hendrycks_ethics
Jon Tow's avatar
Jon Tow committed
38
from . import drop
39
from . import unscramble
40
from . import logiqa
Andy Zou's avatar
Andy Zou committed
41
from . import hendrycks_test
Leo Gao's avatar
Leo Gao committed
42
from . import hendrycks_math
43
from . import cbt
44
from . import lambada_cloze
Jason Phang's avatar
Jason Phang committed
45
from . import pile
Leo Gao's avatar
Leo Gao committed
46
from . import wikitext
sdtblck's avatar
sdtblck committed
47
from . import lambada_multilingual
Jonathan Tow's avatar
Jonathan Tow committed
48
from . import mutual
49
from . import truthfulqa
Igor Ostrovsky's avatar
Igor Ostrovsky committed
50
from . import blimp
rokosbasilisk's avatar
rokosbasilisk committed
51
from . import asdiv
Jonathan Tow's avatar
Jonathan Tow committed
52
from . import gsm8k
Jonathan Tow's avatar
Jonathan Tow committed
53
from . import storycloze
Tom Hartvigsen's avatar
Tom Hartvigsen committed
54
from . import toxigen
Aflah's avatar
Aflah committed
55
from . import crowspairs
56
from . import json
57
from . import xcopa
58
from . import bigbench
59
60
61
62
63
from . import xstorycloze
from . import xwinograd
from . import pawsx
from . import xnli
from . import mgsm
64
from . import scrolls
hyz's github's avatar
hyz's github committed
65
from . import ceval
guijinSON's avatar
guijinSON committed
66
from . import csatqa
GUIJIN SON's avatar
GUIJIN SON committed
67
from . import haerae
68

&'s avatar
& committed
69
70
71
72
73
74
########################################
# Translation tasks
########################################

# 6 total
gpt3_translation_benchmarks = {
Fabrizio Milo's avatar
Fabrizio Milo committed
75
76
    "wmt14": ["en-fr", "fr-en"],  # French
    "wmt16": ["en-ro", "ro-en", "de-en", "en-de"],  # German, Romanian
&'s avatar
& committed
77
78
79
80
81
82
83
}


# 28 total
selected_translation_benchmarks = {
    **gpt3_translation_benchmarks,
    "wmt20": sacrebleu.get_langpairs_for_testset("wmt20"),
Fabrizio Milo's avatar
Fabrizio Milo committed
84
    "iwslt17": ["en-ar", "ar-en"],  # Arabic
&'s avatar
& committed
85
86
87
88
89
90
91
92
93
94
95
96
97
98
}

# 319 total
all_translation_benchmarks = {
    ts: sacrebleu.get_langpairs_for_testset(ts)
    for ts in sacrebleu.get_available_testsets()
}


########################################
# All tasks
########################################


Jason Phang's avatar
Jason Phang committed
99
TASK_REGISTRY = {
Niklas Muennighoff's avatar
Niklas Muennighoff committed
100
    "babi": babi.Babi,
Jason Phang's avatar
multirc  
Jason Phang committed
101
    # GLUE
Jason Phang's avatar
Jason Phang committed
102
103
    "cola": glue.CoLA,
    "mnli": glue.MNLI,
Jason Phang's avatar
Jason Phang committed
104
    "mnli_mismatched": glue.MNLIMismatched,
Jason Phang's avatar
Jason Phang committed
105
106
107
108
    "mrpc": glue.MRPC,
    "rte": glue.RTE,
    "qnli": glue.QNLI,
    "qqp": glue.QQP,
Fabrizio Milo's avatar
Fabrizio Milo committed
109
    # "stsb": glue.STSB, # not implemented yet
Jason Phang's avatar
Jason Phang committed
110
111
    "sst": glue.SST,
    "wnli": glue.WNLI,
Jason Phang's avatar
multirc  
Jason Phang committed
112
    # SuperGLUE
Jason Phang's avatar
Jason Phang committed
113
    "boolq": superglue.BoolQ,
thefazzer's avatar
thefazzer committed
114
    "cb": superglue.CommitmentBank,
Jason Phang's avatar
Jason Phang committed
115
    "copa": superglue.Copa,
Jason Phang's avatar
multirc  
Jason Phang committed
116
    "multirc": superglue.MultiRC,
Jason Phang's avatar
Jason Phang committed
117
    "record": superglue.ReCoRD,
Jason Phang's avatar
Jason Phang committed
118
    "wic": superglue.WordsInContext,
Jason Phang's avatar
wsc  
Jason Phang committed
119
    "wsc": superglue.SGWinogradSchemaChallenge,
Jason Phang's avatar
multirc  
Jason Phang committed
120
    # Order by benchmark/genre?
thefazzer's avatar
thefazzer committed
121
    "coqa": coqa.CoQA,
Jon Tow's avatar
Jon Tow committed
122
    "drop": drop.DROP,
jon-tow's avatar
jon-tow committed
123
124
125
126
    "lambada_openai": lambada.LambadaOpenAI,
    "lambada_standard": lambada.LambadaStandard,
    "lambada_openai_cloze": lambada_cloze.LambadaOpenAICloze,
    "lambada_standard_cloze": lambada_cloze.LambadaStandardCloze,
127
    # multilingual lambada
sdtblck's avatar
sdtblck committed
128
    **lambada_multilingual.construct_tasks(),
Leo Gao's avatar
Leo Gao committed
129
    "wikitext": wikitext.WikiText,
Leo Gao's avatar
Leo Gao committed
130
131
    # "cbt-cn": cbt.CBTCN, # disabled pending context length fix
    # "cbt-ne": cbt.CBTNE, # disabled pending context length fix
Leo Gao's avatar
Leo Gao committed
132
    "piqa": piqa.PiQA,
Jonathan Tow's avatar
Jonathan Tow committed
133
    "prost": prost.PROST,
Jonathan Tow's avatar
Jonathan Tow committed
134
    "mc_taco": mc_taco.MCTACO,
135
    # Science related
Fabrizio Milo's avatar
Fabrizio Milo committed
136
137
    "pubmedqa": pubmedqa.Pubmed_QA,
    "sciq": sciq.SciQ,
138
    "qasper": qasper.QASPER,
Fabrizio Milo's avatar
Fabrizio Milo committed
139
140
141
    "qa4mre_2011": qa4mre.QA4MRE_2011,
    "qa4mre_2012": qa4mre.QA4MRE_2012,
    "qa4mre_2013": qa4mre.QA4MRE_2013,
Leo Gao's avatar
Leo Gao committed
142
    "triviaqa": triviaqa.TriviaQA,
Jonathan Tow's avatar
Jonathan Tow committed
143
144
    "arc_easy": arc.ARCEasy,
    "arc_challenge": arc.ARCChallenge,
145
    # "quac": quac.QuAC, # not implemented yet
146
    "logiqa": logiqa.LogiQA,
Leo Gao's avatar
Leo Gao committed
147
    "hellaswag": hellaswag.HellaSwag,
jon-tow's avatar
jon-tow committed
148
    "swag": swag.SWAG,
Jon Tow's avatar
Jon Tow committed
149
    "openbookqa": openbookqa.OpenBookQA,
Leo Gao's avatar
Leo Gao committed
150
    "squad2": squad.SQuAD2,
Jon Tow's avatar
Jon Tow committed
151
    "race": race.RACE,
152
    # "naturalqs": naturalqs.NaturalQs, # not implemented yet
Fabrizio Milo's avatar
Fabrizio Milo committed
153
    "headqa": headqa.HeadQAEsDeprecated,  # for backwards compat - headqa used to default to es
154
155
    "headqa_es": headqa.HeadQAEs,
    "headqa_en": headqa.HeadQAEn,
156
    "mathqa": mathqa.MathQA,
157
    "webqs": webqs.WebQs,
158
    "wsc273": wsc273.WinogradSchemaChallenge273,
159
    "winogrande": winogrande.Winogrande,
Jonathan Tow's avatar
Jonathan Tow committed
160
161
162
    "anli_r1": anli.ANLIRound1,
    "anli_r2": anli.ANLIRound2,
    "anli_r3": anli.ANLIRound3,
Leo Gao's avatar
Leo Gao committed
163
164
165
166
167
168
    "ethics_cm": hendrycks_ethics.EthicsCM,
    "ethics_deontology": hendrycks_ethics.EthicsDeontology,
    "ethics_justice": hendrycks_ethics.EthicsJustice,
    "ethics_utilitarianism_original": hendrycks_ethics.EthicsUtilitarianismOriginal,
    "ethics_utilitarianism": hendrycks_ethics.EthicsUtilitarianism,
    "ethics_virtue": hendrycks_ethics.EthicsVirtue,
Fabrizio Milo's avatar
Fabrizio Milo committed
169
170
    "truthfulqa_mc": truthfulqa.TruthfulQAMultipleChoice,
    "truthfulqa_gen": truthfulqa.TruthfulQAGeneration,
Jonathan Tow's avatar
Jonathan Tow committed
171
172
173
    # dialogue
    "mutual": mutual.MuTual,
    "mutual_plus": mutual.MuTualPlus,
Eric Tang's avatar
Eric Tang committed
174
    # math
Leo Gao's avatar
Leo Gao committed
175
176
177
178
179
180
181
    "math_algebra": hendrycks_math.MathAlgebra,
    "math_counting_and_prob": hendrycks_math.MathCountingAndProbability,
    "math_geometry": hendrycks_math.MathGeometry,
    "math_intermediate_algebra": hendrycks_math.MathIntermediateAlgebra,
    "math_num_theory": hendrycks_math.MathNumberTheory,
    "math_prealgebra": hendrycks_math.MathPrealgebra,
    "math_precalc": hendrycks_math.MathPrecalculus,
rokosbasilisk's avatar
rokosbasilisk committed
182
    "math_asdiv": asdiv.Asdiv,
Jonathan Tow's avatar
Jonathan Tow committed
183
    "gsm8k": gsm8k.GradeSchoolMath8K,
184
185
186
187
188
189
190
191
192
193
194
    # arithmetic
    "arithmetic_2da": arithmetic.Arithmetic2DPlus,
    "arithmetic_2ds": arithmetic.Arithmetic2DMinus,
    "arithmetic_3da": arithmetic.Arithmetic3DPlus,
    "arithmetic_3ds": arithmetic.Arithmetic3DMinus,
    "arithmetic_4da": arithmetic.Arithmetic4DPlus,
    "arithmetic_4ds": arithmetic.Arithmetic4DMinus,
    "arithmetic_5da": arithmetic.Arithmetic5DPlus,
    "arithmetic_5ds": arithmetic.Arithmetic5DMinus,
    "arithmetic_2dm": arithmetic.Arithmetic2DMultiplication,
    "arithmetic_1dc": arithmetic.Arithmetic1DComposite,
&'s avatar
& committed
195
196
    # TODO Perhaps make these groups of tasks
    #   e.g. anli, arithmetic, openai_translations, harness_translations
Andy Zou's avatar
Andy Zou committed
197
    # hendrycksTest (57 tasks)
Andy Zou's avatar
Andy Zou committed
198
    **hendrycks_test.create_all_tasks(),
&'s avatar
...  
& committed
199
    # e.g. wmt14-fr-en
&'s avatar
& committed
200
201
202
    **translation.create_tasks_from_benchmarks(gpt3_translation_benchmarks),
    # chef's selection, mostly wmt20
    **translation.create_tasks_from_benchmarks(selected_translation_benchmarks),
Jon Tow's avatar
Jon Tow committed
203
    # Word Scrambling and Manipulation Tasks
204
205
206
207
208
    "anagrams1": unscramble.Anagrams1,
    "anagrams2": unscramble.Anagrams2,
    "cycle_letters": unscramble.CycleLetters,
    "random_insertion": unscramble.RandomInsertion,
    "reversed_words": unscramble.ReversedWords,
Jason Phang's avatar
Jason Phang committed
209
    # Pile
Leo Gao's avatar
Leo Gao committed
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
    "pile_arxiv": pile.PileArxiv,
    "pile_books3": pile.PileBooks3,
    "pile_bookcorpus2": pile.PileBookCorpus2,
    "pile_dm-mathematics": pile.PileDmMathematics,
    "pile_enron": pile.PileEnron,
    "pile_europarl": pile.PileEuroparl,
    "pile_freelaw": pile.PileFreeLaw,
    "pile_github": pile.PileGithub,
    "pile_gutenberg": pile.PileGutenberg,
    "pile_hackernews": pile.PileHackernews,
    "pile_nih-exporter": pile.PileNIHExporter,
    "pile_opensubtitles": pile.PileOpenSubtitles,
    "pile_openwebtext2": pile.PileOpenWebText2,
    "pile_philpapers": pile.PilePhilPapers,
    "pile_pile-cc": pile.PilePileCc,
    "pile_pubmed-abstracts": pile.PilePubmedAbstracts,
    "pile_pubmed-central": pile.PilePubmedCentral,
    "pile_stackexchange": pile.PileStackExchange,
    "pile_uspto": pile.PileUspto,
    "pile_ubuntu-irc": pile.PileUbuntuIrc,
    "pile_wikipedia": pile.PileWikipedia,
    "pile_youtubesubtitles": pile.PileYoutubeSubtitles,
Igor Ostrovsky's avatar
Igor Ostrovsky committed
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
    # BLiMP
    "blimp_adjunct_island": blimp.BlimpAdjunctIsland,
    "blimp_anaphor_gender_agreement": blimp.BlimpAnaphorGenderAgreement,
    "blimp_anaphor_number_agreement": blimp.BlimpAnaphorNumberAgreement,
    "blimp_animate_subject_passive": blimp.BlimpAnimateSubjectPassive,
    "blimp_animate_subject_trans": blimp.BlimpAnimateSubjectTrans,
    "blimp_causative": blimp.BlimpCausative,
    "blimp_complex_NP_island": blimp.BlimpComplex_NPIsland,
    "blimp_coordinate_structure_constraint_complex_left_branch": blimp.BlimpCoordinateStructureConstraintComplexLeftBranch,
    "blimp_coordinate_structure_constraint_object_extraction": blimp.BlimpCoordinateStructureConstraintObjectExtraction,
    "blimp_determiner_noun_agreement_1": blimp.BlimpDeterminerNounAgreement_1,
    "blimp_determiner_noun_agreement_2": blimp.BlimpDeterminerNounAgreement_2,
    "blimp_determiner_noun_agreement_irregular_1": blimp.BlimpDeterminerNounAgreementIrregular_1,
    "blimp_determiner_noun_agreement_irregular_2": blimp.BlimpDeterminerNounAgreementIrregular_2,
    "blimp_determiner_noun_agreement_with_adj_2": blimp.BlimpDeterminerNounAgreementWithAdj_2,
    "blimp_determiner_noun_agreement_with_adj_irregular_1": blimp.BlimpDeterminerNounAgreementWithAdjIrregular_1,
    "blimp_determiner_noun_agreement_with_adj_irregular_2": blimp.BlimpDeterminerNounAgreementWithAdjIrregular_2,
    "blimp_determiner_noun_agreement_with_adjective_1": blimp.BlimpDeterminerNounAgreementWithAdjective_1,
    "blimp_distractor_agreement_relational_noun": blimp.BlimpDistractorAgreementRelationalNoun,
    "blimp_distractor_agreement_relative_clause": blimp.BlimpDistractorAgreementRelativeClause,
    "blimp_drop_argument": blimp.BlimpDropArgument,
    "blimp_ellipsis_n_bar_1": blimp.BlimpEllipsisNBar_1,
    "blimp_ellipsis_n_bar_2": blimp.BlimpEllipsisNBar_2,
    "blimp_existential_there_object_raising": blimp.BlimpExistentialThereObjectRaising,
    "blimp_existential_there_quantifiers_1": blimp.BlimpExistentialThereQuantifiers_1,
    "blimp_existential_there_quantifiers_2": blimp.BlimpExistentialThereQuantifiers_2,
    "blimp_existential_there_subject_raising": blimp.BlimpExistentialThereSubjectRaising,
    "blimp_expletive_it_object_raising": blimp.BlimpExpletiveItObjectRaising,
    "blimp_inchoative": blimp.BlimpInchoative,
    "blimp_intransitive": blimp.BlimpIntransitive,
    "blimp_irregular_past_participle_adjectives": blimp.BlimpIrregularPastParticipleAdjectives,
    "blimp_irregular_past_participle_verbs": blimp.BlimpIrregularPastParticipleVerbs,
    "blimp_irregular_plural_subject_verb_agreement_1": blimp.BlimpIrregularPluralSubjectVerbAgreement_1,
    "blimp_irregular_plural_subject_verb_agreement_2": blimp.BlimpIrregularPluralSubjectVerbAgreement_2,
    "blimp_left_branch_island_echo_question": blimp.BlimpLeftBranchIslandEchoQuestion,
    "blimp_left_branch_island_simple_question": blimp.BlimpLeftBranchIslandSimpleQuestion,
    "blimp_matrix_question_npi_licensor_present": blimp.BlimpMatrixQuestionNpiLicensorPresent,
    "blimp_npi_present_1": blimp.BlimpNpiPresent_1,
    "blimp_npi_present_2": blimp.BlimpNpiPresent_2,
    "blimp_only_npi_licensor_present": blimp.BlimpOnlyNpiLicensorPresent,
    "blimp_only_npi_scope": blimp.BlimpOnlyNpiScope,
    "blimp_passive_1": blimp.BlimpPassive_1,
    "blimp_passive_2": blimp.BlimpPassive_2,
    "blimp_principle_A_c_command": blimp.BlimpPrinciple_ACCommand,
    "blimp_principle_A_case_1": blimp.BlimpPrinciple_ACase_1,
    "blimp_principle_A_case_2": blimp.BlimpPrinciple_ACase_2,
    "blimp_principle_A_domain_1": blimp.BlimpPrinciple_ADomain_1,
    "blimp_principle_A_domain_2": blimp.BlimpPrinciple_ADomain_2,
    "blimp_principle_A_domain_3": blimp.BlimpPrinciple_ADomain_3,
    "blimp_principle_A_reconstruction": blimp.BlimpPrinciple_AReconstruction,
    "blimp_regular_plural_subject_verb_agreement_1": blimp.BlimpRegularPluralSubjectVerbAgreement_1,
    "blimp_regular_plural_subject_verb_agreement_2": blimp.BlimpRegularPluralSubjectVerbAgreement_2,
    "blimp_sentential_negation_npi_licensor_present": blimp.BlimpSententialNegationNpiLicensorPresent,
    "blimp_sentential_negation_npi_scope": blimp.BlimpSententialNegationNpiScope,
    "blimp_sentential_subject_island": blimp.BlimpSententialSubjectIsland,
    "blimp_superlative_quantifiers_1": blimp.BlimpSuperlativeQuantifiers_1,
    "blimp_superlative_quantifiers_2": blimp.BlimpSuperlativeQuantifiers_2,
    "blimp_tough_vs_raising_1": blimp.BlimpToughVsRaising_1,
    "blimp_tough_vs_raising_2": blimp.BlimpToughVsRaising_2,
    "blimp_transitive": blimp.BlimpTransitive,
    "blimp_wh_island": blimp.BlimpWhIsland,
    "blimp_wh_questions_object_gap": blimp.BlimpWhQuestionsObjectGap,
    "blimp_wh_questions_subject_gap": blimp.BlimpWhQuestionsSubjectGap,
    "blimp_wh_questions_subject_gap_long_distance": blimp.BlimpWhQuestionsSubjectGapLongDistance,
    "blimp_wh_vs_that_no_gap": blimp.BlimpWhVsThatNoGap,
    "blimp_wh_vs_that_no_gap_long_distance": blimp.BlimpWhVsThatNoGapLongDistance,
    "blimp_wh_vs_that_with_gap": blimp.BlimpWhVsThatWithGap,
    "blimp_wh_vs_that_with_gap_long_distance": blimp.BlimpWhVsThatWithGapLongDistance,
Tom Hartvigsen's avatar
Tom Hartvigsen committed
300
    "toxigen": toxigen.ToxiGen,
Aflah's avatar
Aflah committed
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
    "crows_pairs_english": crowspairs.CrowsPairsEnglish,
    "crows_pairs_english_race_color": crowspairs.CrowsPairsEnglishRaceColor,
    "crows_pairs_english_socioeconomic": crowspairs.CrowsPairsEnglishSocioeconomic,
    "crows_pairs_english_gender": crowspairs.CrowsPairsEnglishGender,
    "crows_pairs_english_age": crowspairs.CrowsPairsEnglishAge,
    "crows_pairs_english_religion": crowspairs.CrowsPairsEnglishReligion,
    "crows_pairs_english_disability": crowspairs.CrowsPairsEnglishDisability,
    "crows_pairs_english_sexual_orientation": crowspairs.CrowsPairsEnglishSexualOrientation,
    "crows_pairs_english_nationality": crowspairs.CrowsPairsEnglishNationality,
    "crows_pairs_english_physical_appearance": crowspairs.CrowsPairsEnglishPhysicalAppearance,
    "crows_pairs_english_autre": crowspairs.CrowsPairsEnglishAutre,
    "crows_pairs_french": crowspairs.CrowsPairsFrench,
    "crows_pairs_french_race_color": crowspairs.CrowsPairsFrenchRaceColor,
    "crows_pairs_french_socioeconomic": crowspairs.CrowsPairsFrenchSocioeconomic,
    "crows_pairs_french_gender": crowspairs.CrowsPairsFrenchGender,
    "crows_pairs_french_age": crowspairs.CrowsPairsFrenchAge,
    "crows_pairs_french_religion": crowspairs.CrowsPairsFrenchReligion,
    "crows_pairs_french_disability": crowspairs.CrowsPairsFrenchDisability,
    "crows_pairs_french_sexual_orientation": crowspairs.CrowsPairsFrenchSexualOrientation,
    "crows_pairs_french_nationality": crowspairs.CrowsPairsFrenchNationality,
    "crows_pairs_french_physical_appearance": crowspairs.CrowsPairsFrenchPhysicalAppearance,
    "crows_pairs_french_autre": crowspairs.CrowsPairsFrenchAutre,
guijinSON's avatar
guijinSON committed
323
324
325
326
327
328
    "csatqa_wr": csatqa.WR,
    "csatqa_gr": csatqa.GR,
    "csatqa_rcs": csatqa.RCS,
    "csatqa_rcss": csatqa.RCSS,
    "csatqa_rch": csatqa.RCH,
    "csatqa_li": csatqa.LI,
GUIJIN SON's avatar
GUIJIN SON committed
329
330
331
332
333
334
    "haerae_hi": haerae.HI,
    "haerae_kgk":haerae.KGK,
    "haerae_lw":haerae.LW,
    "haerae_rc":haerae.RC,
    "haerae_rw":haerae.RW,
    "haerae_sn":haerae.SN,
guijinSON's avatar
guijinSON committed
335
    # Requires manual download
Jonathan Tow's avatar
Jonathan Tow committed
336
337
338
339
    # Requires manual download of data.
    # "storycloze_2016": storycloze.StoryCloze2016,
    # "storycloze_2018": storycloze.StoryCloze2018,
    # "sat": sat.SATAnalogies,
340
    **xcopa.construct_tasks(),
341
    **bigbench.create_all_tasks(),
342
343
344
345
346
    **xstorycloze.create_all_tasks(),
    **xwinograd.create_all_tasks(),
    **pawsx.construct_tasks(),
    **xnli.construct_tasks(),
    **mgsm.construct_tasks(),
hyz's github's avatar
hyz's github committed
347
348
    **scrolls.construct_tasks(),
    **ceval.create_all_tasks(),
Jason Phang's avatar
Jason Phang committed
349
}
Jason Phang's avatar
gpt3  
Jason Phang committed
350
351


Jason Phang's avatar
Jason Phang committed
352
ALL_TASKS = sorted(list(TASK_REGISTRY))
Jason Phang's avatar
Jason Phang committed
353

354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
_EXAMPLE_JSON_PATH = "split:key:/absolute/path/to/data.json"


def add_json_task(task_name):
    """Add a JSON perplexity task if the given task name matches the
    JSON task specification.

    See `json.JsonPerplexity`.
    """
    if not task_name.startswith("json"):
        return

    def create_json_task():
        splits = task_name.split("=", 1)
        if len(splits) != 2 or not splits[1]:
            raise ValueError(
                "json tasks need a path argument pointing to the local "
                "dataset, specified like this: json="
                + _EXAMPLE_JSON_PATH
                + ' (if there are no splits, use "train")'
            )

        json_path = splits[1]
        if json_path == _EXAMPLE_JSON_PATH:
            raise ValueError(
                "please do not copy the example path directly, but substitute "
                "it with a path to your local dataset"
            )
        return lambda: json.JsonPerplexity(json_path)

    TASK_REGISTRY[task_name] = create_json_task()

Jason Phang's avatar
Jason Phang committed
386

Jason Phang's avatar
cleanup  
Jason Phang committed
387
def get_task(task_name):
&'s avatar
& committed
388
    try:
389
        add_json_task(task_name)
&'s avatar
& committed
390
        return TASK_REGISTRY[task_name]
391
    except KeyError:
&'s avatar
& committed
392
393
394
        print("Available tasks:")
        pprint(TASK_REGISTRY)
        raise KeyError(f"Missing task {task_name}")
Jason Phang's avatar
cleanup  
Jason Phang committed
395
396


397
398
399
400
def get_task_name_from_object(task_object):
    for name, class_ in TASK_REGISTRY.items():
        if class_ is task_object:
            return name
Fabrizio Milo's avatar
Fabrizio Milo committed
401

402
    # this gives a mechanism for non-registered tasks to have a custom name anyways when reporting
Fabrizio Milo's avatar
Fabrizio Milo committed
403
404
405
406
407
    return (
        task_object.EVAL_HARNESS_NAME
        if hasattr(task_object, "EVAL_HARNESS_NAME")
        else type(task_object).__name__
    )
408
409
410


def get_task_dict(task_name_list: List[Union[str, lm_eval.base.Task]]):
411
    task_name_dict = {
Jason Phang's avatar
cleanup  
Jason Phang committed
412
        task_name: get_task(task_name)()
Fabrizio Milo's avatar
Fabrizio Milo committed
413
414
        for task_name in task_name_list
        if isinstance(task_name, str)
415
416
    }
    task_name_from_object_dict = {
417
        get_task_name_from_object(task_object): task_object
Fabrizio Milo's avatar
Fabrizio Milo committed
418
419
        for task_object in task_name_list
        if not isinstance(task_object, str)
Jason Phang's avatar
cleanup  
Jason Phang committed
420
    }
421
422
    assert set(task_name_dict.keys()).isdisjoint(set(task_name_from_object_dict.keys()))
    return {**task_name_dict, **task_name_from_object_dict}