Convert dataset to Parquet

README.md

@@ -9,7 +9,6 @@ license:
 - cc-by-4.0
 multilinguality:
 - monolingual
-pretty_name: BLiMP
 size_categories:
 - 10K<n<100K
 source_datasets:
@@ -19,6 +18,7 @@ task_categories:
 task_ids:
 - acceptability-classification
 paperswithcode_id: blimp
+pretty_name: BLiMP
 dataset_info:
 - config_name: adjunct_island
   features:
@@ -44,10 +44,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 167289
+    num_bytes: 165894
     num_examples: 1000
-  download_size: 359284
-  dataset_size: 167289
+  download_size: 62231
+  dataset_size: 165894
 - config_name: anaphor_gender_agreement
   features:
   - name: sentence_good
@@ -72,10 +72,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 132313
+    num_bytes: 130918
     num_examples: 1000
-  download_size: 436749
-  dataset_size: 132313
+  download_size: 39201
+  dataset_size: 130918
 - config_name: anaphor_number_agreement
   features:
   - name: sentence_good
@@ -100,10 +100,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 141274
+    num_bytes: 139879
     num_examples: 1000
-  download_size: 450861
-  dataset_size: 141274
+  download_size: 41547
+  dataset_size: 139879
 - config_name: animate_subject_passive
   features:
   - name: sentence_good
@@ -128,10 +128,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 145818
+    num_bytes: 144423
     num_examples: 1000
-  download_size: 462292
-  dataset_size: 145818
+  download_size: 47282
+  dataset_size: 144423
 - config_name: animate_subject_trans
   features:
   - name: sentence_good
@@ -156,10 +156,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 129193
+    num_bytes: 127798
     num_examples: 1000
-  download_size: 433098
-  dataset_size: 129193
+  download_size: 49651
+  dataset_size: 127798
 - config_name: causative
   features:
   - name: sentence_good
@@ -184,10 +184,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 122772
     num_examples: 1000
-  download_size: 317162
-  dataset_size: 124167
+  download_size: 48963
+  dataset_size: 122772
 - config_name: complex_NP_island
   features:
   - name: sentence_good
@@ -212,10 +212,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 198972
     num_examples: 1000
-  download_size: 392362
-  dataset_size: 200367
+  download_size: 78211
+  dataset_size: 198972
 - config_name: coordinate_structure_constraint_complex_left_branch
   features:
   - name: sentence_good
@@ -240,10 +240,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 210912
     num_examples: 1000
-  download_size: 571696
-  dataset_size: 212307
+  download_size: 67908
+  dataset_size: 210912
 - config_name: coordinate_structure_constraint_object_extraction
   features:
   - name: sentence_good
@@ -268,10 +268,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 171655
     num_examples: 1000
-  download_size: 366045
-  dataset_size: 173050
+  download_size: 51584
+  dataset_size: 171655
 - config_name: determiner_noun_agreement_1
   features:
   - name: sentence_good
@@ -296,10 +296,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 156120
     num_examples: 1000
-  download_size: 468642
-  dataset_size: 157515
+  download_size: 49893
+  dataset_size: 156120
 - config_name: determiner_noun_agreement_2
   features:
   - name: sentence_good
@@ -324,10 +324,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 157599
+    num_bytes: 156204
     num_examples: 1000
-  download_size: 488856
-  dataset_size: 157599
+  download_size: 49527
+  dataset_size: 156204
 - config_name: determiner_noun_agreement_irregular_1
   features:
   - name: sentence_good
@@ -352,10 +352,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 164473
     num_examples: 1000
-  download_size: 474932
-  dataset_size: 165868
+  download_size: 47274
+  dataset_size: 164473
 - config_name: determiner_noun_agreement_irregular_2
   features:
   - name: sentence_good
@@ -380,10 +380,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 161074
     num_examples: 1000
-  download_size: 490854
-  dataset_size: 162469
+  download_size: 47422
+  dataset_size: 161074
 - config_name: determiner_noun_agreement_with_adj_2
   features:
   - name: sentence_good
@@ -408,10 +408,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 181061
+    num_bytes: 179666
     num_examples: 1000
-  download_size: 526806
-  dataset_size: 181061
+  download_size: 56346
+  dataset_size: 179666
 - config_name: determiner_noun_agreement_with_adj_irregular_1
   features:
   - name: sentence_good
@@ -436,10 +436,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 184529
     num_examples: 1000
-  download_size: 499664
-  dataset_size: 185924
+  download_size: 54405
+  dataset_size: 184529
 - config_name: determiner_noun_agreement_with_adj_irregular_2
   features:
   - name: sentence_good
@@ -464,10 +464,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 184396
     num_examples: 1000
-  download_size: 528528
-  dataset_size: 185791
+  download_size: 54064
+  dataset_size: 184396
 - config_name: determiner_noun_agreement_with_adjective_1
   features:
   - name: sentence_good
@@ -492,10 +492,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 185126
     num_examples: 1000
-  download_size: 504676
-  dataset_size: 186521
+  download_size: 55682
+  dataset_size: 185126
 - config_name: distractor_agreement_relational_noun
   features:
   - name: sentence_good
@@ -520,10 +520,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 191473
     num_examples: 1000
-  download_size: 525650
-  dataset_size: 192868
+  download_size: 59641
+  dataset_size: 191473
 - config_name: distractor_agreement_relative_clause
   features:
   - name: sentence_good
@@ -548,10 +548,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 216756
     num_examples: 1000
-  download_size: 564770
-  dataset_size: 218151
+  download_size: 77897
+  dataset_size: 216756
 - config_name: drop_argument
   features:
   - name: sentence_good
@@ -576,10 +576,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 111201
+    num_bytes: 109806
     num_examples: 1000
-  download_size: 304196
-  dataset_size: 111201
+  download_size: 39961
+  dataset_size: 109806
 - config_name: ellipsis_n_bar_1
   features:
   - name: sentence_good
@@ -604,10 +604,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 218985
+    num_bytes: 217590
     num_examples: 1000
-  download_size: 411980
-  dataset_size: 218985
+  download_size: 92776
+  dataset_size: 217590
 - config_name: ellipsis_n_bar_2
   features:
   - name: sentence_good
@@ -632,10 +632,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 233161
     num_examples: 1000
-  download_size: 427551
-  dataset_size: 234556
+  download_size: 98882
+  dataset_size: 233161
 - config_name: existential_there_object_raising
   features:
   - name: sentence_good
@@ -660,10 +660,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 223741
     num_examples: 1000
-  download_size: 550672
-  dataset_size: 225136
+  download_size: 76641
+  dataset_size: 223741
 - config_name: existential_there_quantifiers_1
   features:
   - name: sentence_good
@@ -688,10 +688,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 162931
     num_examples: 1000
-  download_size: 357321
-  dataset_size: 164326
+  download_size: 51576
+  dataset_size: 162931
 - config_name: existential_there_quantifiers_2
   features:
   - name: sentence_good
@@ -716,10 +716,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 164826
     num_examples: 1000
-  download_size: 359216
-  dataset_size: 166221
+  download_size: 52092
+  dataset_size: 164826
 - config_name: existential_there_subject_raising
   features:
   - name: sentence_good
@@ -744,10 +744,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 200063
     num_examples: 1000
-  download_size: 394453
-  dataset_size: 201458
+  download_size: 59519
+  dataset_size: 200063
 - config_name: expletive_it_object_raising
   features:
   - name: sentence_good
@@ -772,10 +772,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 238615
     num_examples: 1000
-  download_size: 587648
-  dataset_size: 240010
+  download_size: 88607
+  dataset_size: 238615
 - config_name: inchoative
   features:
   - name: sentence_good
@@ -800,10 +800,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 104319
     num_examples: 1000
-  download_size: 298709
-  dataset_size: 105714
+  download_size: 39842
+  dataset_size: 104319
 - config_name: intransitive
   features:
   - name: sentence_good
@@ -828,10 +828,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 111097
     num_examples: 1000
-  download_size: 305487
-  dataset_size: 112492
+  download_size: 42387
+  dataset_size: 111097
 - config_name: irregular_past_participle_adjectives
   features:
   - name: sentence_good
@@ -856,10 +856,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 144661
     num_examples: 1000
-  download_size: 444520
-  dataset_size: 146056
+  download_size: 36654
+  dataset_size: 144661
 - config_name: irregular_past_participle_verbs
   features:
   - name: sentence_good
@@ -884,10 +884,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 125692
     num_examples: 1000
-  download_size: 420119
-  dataset_size: 127087
+  download_size: 37297
+  dataset_size: 125692
 - config_name: irregular_plural_subject_verb_agreement_1
   features:
   - name: sentence_good
@@ -912,10 +912,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 165584
     num_examples: 1000
-  download_size: 460705
-  dataset_size: 166979
+  download_size: 50725
+  dataset_size: 165584
 - config_name: irregular_plural_subject_verb_agreement_2
   features:
   - name: sentence_good
@@ -940,10 +940,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 153843
     num_examples: 1000
-  download_size: 453376
-  dataset_size: 155238
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 - config_name: left_branch_island_echo_question
   features:
   - name: sentence_good
@@ -968,10 +968,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 147840
     num_examples: 1000
-  download_size: 482617
-  dataset_size: 149235
+  download_size: 50481
+  dataset_size: 147840
 - config_name: left_branch_island_simple_question
   features:
   - name: sentence_good
@@ -996,10 +996,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 150060
     num_examples: 1000
-  download_size: 343450
-  dataset_size: 151455
+  download_size: 50293
+  dataset_size: 150060
 - config_name: matrix_question_npi_licensor_present
   features:
   - name: sentence_good
@@ -1024,10 +1024,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 153262
     num_examples: 1000
-  download_size: 457806
-  dataset_size: 154657
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 - config_name: npi_present_1
   features:
   - name: sentence_good
@@ -1052,10 +1052,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 138465
     num_examples: 1000
-  download_size: 438013
-  dataset_size: 139860
+  download_size: 51981
+  dataset_size: 138465
 - config_name: npi_present_2
   features:
   - name: sentence_good
@@ -1080,10 +1080,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 127636
     num_examples: 1000
-  download_size: 422136
-  dataset_size: 129031
+  download_size: 51661
+  dataset_size: 127636
 - config_name: only_npi_licensor_present
   features:
   - name: sentence_good
@@ -1108,10 +1108,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 148516
     num_examples: 1000
-  download_size: 459170
-  dataset_size: 149911
+  download_size: 51361
+  dataset_size: 148516
 - config_name: only_npi_scope
   features:
   - name: sentence_good
@@ -1136,10 +1136,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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     num_examples: 1000
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-  dataset_size: 210297
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 - config_name: passive_1
   features:
   - name: sentence_good
@@ -1164,10 +1164,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 145882
     num_examples: 1000
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 - config_name: passive_2
   features:
   - name: sentence_good
@@ -1192,10 +1192,10 @@ dataset_info:
     dtype: int32
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   - name: train
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     num_examples: 1000
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 - config_name: principle_A_c_command
   features:
   - name: sentence_good
@@ -1220,10 +1220,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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+    num_bytes: 188490
     num_examples: 1000
-  download_size: 527689
-  dataset_size: 189885
+  download_size: 67867
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 - config_name: principle_A_case_1
   features:
   - name: sentence_good
@@ -1248,10 +1248,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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     num_examples: 1000
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 - config_name: principle_A_case_2
   features:
   - name: sentence_good
@@ -1276,10 +1276,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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     num_examples: 1000
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 - config_name: principle_A_domain_1
   features:
   - name: sentence_good
@@ -1304,10 +1304,10 @@ dataset_info:
     dtype: int32
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   - name: train
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     num_examples: 1000
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 - config_name: principle_A_domain_2
   features:
   - name: sentence_good
@@ -1332,10 +1332,10 @@ dataset_info:
     dtype: int32
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   - name: train
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     num_examples: 1000
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-  dataset_size: 166728
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 - config_name: principle_A_domain_3
   features:
   - name: sentence_good
@@ -1360,10 +1360,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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     num_examples: 1000
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 - config_name: principle_A_reconstruction
   features:
   - name: sentence_good
@@ -1388,10 +1388,10 @@ dataset_info:
     dtype: int32
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   - name: train
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     num_examples: 1000
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 - config_name: regular_plural_subject_verb_agreement_1
   features:
   - name: sentence_good
@@ -1416,10 +1416,10 @@ dataset_info:
     dtype: int32
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   - name: train
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     num_examples: 1000
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 - config_name: regular_plural_subject_verb_agreement_2
   features:
   - name: sentence_good
@@ -1444,10 +1444,10 @@ dataset_info:
     dtype: int32
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   - name: train
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     num_examples: 1000
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 - config_name: sentential_negation_npi_licensor_present
   features:
   - name: sentence_good
@@ -1472,10 +1472,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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     num_examples: 1000
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 - config_name: sentential_negation_npi_scope
   features:
   - name: sentence_good
@@ -1500,10 +1500,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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     num_examples: 1000
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 - config_name: sentential_subject_island
   features:
   - name: sentence_good
@@ -1528,10 +1528,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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     num_examples: 1000
-  download_size: 365822
-  dataset_size: 173827
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 - config_name: superlative_quantifiers_1
   features:
   - name: sentence_good
@@ -1556,10 +1556,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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     num_examples: 1000
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 - config_name: superlative_quantifiers_2
   features:
   - name: sentence_good
@@ -1584,10 +1584,10 @@ dataset_info:
     dtype: int32
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   - name: train
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     num_examples: 1000
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 - config_name: tough_vs_raising_1
   features:
   - name: sentence_good
@@ -1612,10 +1612,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
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     num_examples: 1000
-  download_size: 343026
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 - config_name: tough_vs_raising_2
   features:
   - name: sentence_good
@@ -1640,10 +1640,10 @@ dataset_info:
     dtype: int32
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   - name: train
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     num_examples: 1000
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 - config_name: transitive
   features:
   - name: sentence_good
@@ -1668,10 +1668,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 134499
+    num_bytes: 133104
     num_examples: 1000
-  download_size: 460291
-  dataset_size: 134499
+  download_size: 55090
+  dataset_size: 133104
 - config_name: wh_island
   features:
   - name: sentence_good
@@ -1696,10 +1696,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 143735
+    num_bytes: 142340
     num_examples: 1000
-  download_size: 448630
-  dataset_size: 143735
+  download_size: 52808
+  dataset_size: 142340
 - config_name: wh_questions_object_gap
   features:
   - name: sentence_good
@@ -1724,10 +1724,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 194440
+    num_bytes: 193045
     num_examples: 1000
-  download_size: 387435
-  dataset_size: 194440
+  download_size: 70049
+  dataset_size: 193045
 - config_name: wh_questions_subject_gap
   features:
   - name: sentence_good
@@ -1752,10 +1752,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 196988
+    num_bytes: 195593
     num_examples: 1000
-  download_size: 389983
-  dataset_size: 196988
+  download_size: 71632
+  dataset_size: 195593
 - config_name: wh_questions_subject_gap_long_distance
   features:
   - name: sentence_good
@@ -1780,10 +1780,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 269665
+    num_bytes: 268270
     num_examples: 1000
-  download_size: 462660
-  dataset_size: 269665
+  download_size: 98913
+  dataset_size: 268270
 - config_name: wh_vs_that_no_gap
   features:
   - name: sentence_good
@@ -1808,10 +1808,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 190267
+    num_bytes: 188872
     num_examples: 1000
-  download_size: 383262
-  dataset_size: 190267
+  download_size: 71710
+  dataset_size: 188872
 - config_name: wh_vs_that_no_gap_long_distance
   features:
   - name: sentence_good
@@ -1836,10 +1836,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 248434
+    num_bytes: 247039
     num_examples: 1000
-  download_size: 441429
-  dataset_size: 248434
+  download_size: 95504
+  dataset_size: 247039
 - config_name: wh_vs_that_with_gap
   features:
   - name: sentence_good
@@ -1864,10 +1864,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 174781
+    num_bytes: 173386
     num_examples: 1000
-  download_size: 367776
-  dataset_size: 174781
+  download_size: 60291
+  dataset_size: 173386
 - config_name: wh_vs_that_with_gap_long_distance
   features:
   - name: sentence_good
@@ -1892,10 +1892,279 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 232990
+    num_bytes: 231595
     num_examples: 1000
-  download_size: 425985
-  dataset_size: 232990
+  download_size: 84147
+  dataset_size: 231595
+configs:
+- config_name: adjunct_island
+  data_files:
+  - split: train
+    path: adjunct_island/train-*
+- config_name: anaphor_gender_agreement
+  data_files:
+  - split: train
+    path: anaphor_gender_agreement/train-*
+- config_name: anaphor_number_agreement
+  data_files:
+  - split: train
+    path: anaphor_number_agreement/train-*
+- config_name: animate_subject_passive
+  data_files:
+  - split: train
+    path: animate_subject_passive/train-*
+- config_name: animate_subject_trans
+  data_files:
+  - split: train
+    path: animate_subject_trans/train-*
+- config_name: causative
+  data_files:
+  - split: train
+    path: causative/train-*
+- config_name: complex_NP_island
+  data_files:
+  - split: train
+    path: complex_NP_island/train-*
+- config_name: coordinate_structure_constraint_complex_left_branch
+  data_files:
+  - split: train
+    path: coordinate_structure_constraint_complex_left_branch/train-*
+- config_name: coordinate_structure_constraint_object_extraction
+  data_files:
+  - split: train
+    path: coordinate_structure_constraint_object_extraction/train-*
+- config_name: determiner_noun_agreement_1
+  data_files:
+  - split: train
+    path: determiner_noun_agreement_1/train-*
+- config_name: determiner_noun_agreement_2
+  data_files:
+  - split: train
+    path: determiner_noun_agreement_2/train-*
+- config_name: determiner_noun_agreement_irregular_1
+  data_files:
+  - split: train
+    path: determiner_noun_agreement_irregular_1/train-*
+- config_name: determiner_noun_agreement_irregular_2
+  data_files:
+  - split: train
+    path: determiner_noun_agreement_irregular_2/train-*
+- config_name: determiner_noun_agreement_with_adj_2
+  data_files:
+  - split: train
+    path: determiner_noun_agreement_with_adj_2/train-*
+- config_name: determiner_noun_agreement_with_adj_irregular_1
+  data_files:
+  - split: train
+    path: determiner_noun_agreement_with_adj_irregular_1/train-*
+- config_name: determiner_noun_agreement_with_adj_irregular_2
+  data_files:
+  - split: train
+    path: determiner_noun_agreement_with_adj_irregular_2/train-*
+- config_name: determiner_noun_agreement_with_adjective_1
+  data_files:
+  - split: train
+    path: determiner_noun_agreement_with_adjective_1/train-*
+- config_name: distractor_agreement_relational_noun
+  data_files:
+  - split: train
+    path: distractor_agreement_relational_noun/train-*
+- config_name: distractor_agreement_relative_clause
+  data_files:
+  - split: train
+    path: distractor_agreement_relative_clause/train-*
+- config_name: drop_argument
+  data_files:
+  - split: train
+    path: drop_argument/train-*
+- config_name: ellipsis_n_bar_1
+  data_files:
+  - split: train
+    path: ellipsis_n_bar_1/train-*
+- config_name: ellipsis_n_bar_2
+  data_files:
+  - split: train
+    path: ellipsis_n_bar_2/train-*
+- config_name: existential_there_object_raising
+  data_files:
+  - split: train
+    path: existential_there_object_raising/train-*
+- config_name: existential_there_quantifiers_1
+  data_files:
+  - split: train
+    path: existential_there_quantifiers_1/train-*
+- config_name: existential_there_quantifiers_2
+  data_files:
+  - split: train
+    path: existential_there_quantifiers_2/train-*
+- config_name: existential_there_subject_raising
+  data_files:
+  - split: train
+    path: existential_there_subject_raising/train-*
+- config_name: expletive_it_object_raising
+  data_files:
+  - split: train
+    path: expletive_it_object_raising/train-*
+- config_name: inchoative
+  data_files:
+  - split: train
+    path: inchoative/train-*
+- config_name: intransitive
+  data_files:
+  - split: train
+    path: intransitive/train-*
+- config_name: irregular_past_participle_adjectives
+  data_files:
+  - split: train
+    path: irregular_past_participle_adjectives/train-*
+- config_name: irregular_past_participle_verbs
+  data_files:
+  - split: train
+    path: irregular_past_participle_verbs/train-*
+- config_name: irregular_plural_subject_verb_agreement_1
+  data_files:
+  - split: train
+    path: irregular_plural_subject_verb_agreement_1/train-*
+- config_name: irregular_plural_subject_verb_agreement_2
+  data_files:
+  - split: train
+    path: irregular_plural_subject_verb_agreement_2/train-*
+- config_name: left_branch_island_echo_question
+  data_files:
+  - split: train
+    path: left_branch_island_echo_question/train-*
+- config_name: left_branch_island_simple_question
+  data_files:
+  - split: train
+    path: left_branch_island_simple_question/train-*
+- config_name: matrix_question_npi_licensor_present
+  data_files:
+  - split: train
+    path: matrix_question_npi_licensor_present/train-*
+- config_name: npi_present_1
+  data_files:
+  - split: train
+    path: npi_present_1/train-*
+- config_name: npi_present_2
+  data_files:
+  - split: train
+    path: npi_present_2/train-*
+- config_name: only_npi_licensor_present
+  data_files:
+  - split: train
+    path: only_npi_licensor_present/train-*
+- config_name: only_npi_scope
+  data_files:
+  - split: train
+    path: only_npi_scope/train-*
+- config_name: passive_1
+  data_files:
+  - split: train
+    path: passive_1/train-*
+- config_name: passive_2
+  data_files:
+  - split: train
+    path: passive_2/train-*
+- config_name: principle_A_c_command
+  data_files:
+  - split: train
+    path: principle_A_c_command/train-*
+- config_name: principle_A_case_1
+  data_files:
+  - split: train
+    path: principle_A_case_1/train-*
+- config_name: principle_A_case_2
+  data_files:
+  - split: train
+    path: principle_A_case_2/train-*
+- config_name: principle_A_domain_1
+  data_files:
+  - split: train
+    path: principle_A_domain_1/train-*
+- config_name: principle_A_domain_2
+  data_files:
+  - split: train
+    path: principle_A_domain_2/train-*
+- config_name: principle_A_domain_3
+  data_files:
+  - split: train
+    path: principle_A_domain_3/train-*
+- config_name: principle_A_reconstruction
+  data_files:
+  - split: train
+    path: principle_A_reconstruction/train-*
+- config_name: regular_plural_subject_verb_agreement_1
+  data_files:
+  - split: train
+    path: regular_plural_subject_verb_agreement_1/train-*
+- config_name: regular_plural_subject_verb_agreement_2
+  data_files:
+  - split: train
+    path: regular_plural_subject_verb_agreement_2/train-*
+- config_name: sentential_negation_npi_licensor_present
+  data_files:
+  - split: train
+    path: sentential_negation_npi_licensor_present/train-*
+- config_name: sentential_negation_npi_scope
+  data_files:
+  - split: train
+    path: sentential_negation_npi_scope/train-*
+- config_name: sentential_subject_island
+  data_files:
+  - split: train
+    path: sentential_subject_island/train-*
+- config_name: superlative_quantifiers_1
+  data_files:
+  - split: train
+    path: superlative_quantifiers_1/train-*
+- config_name: superlative_quantifiers_2
+  data_files:
+  - split: train
+    path: superlative_quantifiers_2/train-*
+- config_name: tough_vs_raising_1
+  data_files:
+  - split: train
+    path: tough_vs_raising_1/train-*
+- config_name: tough_vs_raising_2
+  data_files:
+  - split: train
+    path: tough_vs_raising_2/train-*
+- config_name: transitive
+  data_files:
+  - split: train
+    path: transitive/train-*
+- config_name: wh_island
+  data_files:
+  - split: train
+    path: wh_island/train-*
+- config_name: wh_questions_object_gap
+  data_files:
+  - split: train
+    path: wh_questions_object_gap/train-*
+- config_name: wh_questions_subject_gap
+  data_files:
+  - split: train
+    path: wh_questions_subject_gap/train-*
+- config_name: wh_questions_subject_gap_long_distance
+  data_files:
+  - split: train
+    path: wh_questions_subject_gap_long_distance/train-*
+- config_name: wh_vs_that_no_gap
+  data_files:
+  - split: train
+    path: wh_vs_that_no_gap/train-*
+- config_name: wh_vs_that_no_gap_long_distance
+  data_files:
+  - split: train
+    path: wh_vs_that_no_gap_long_distance/train-*
+- config_name: wh_vs_that_with_gap
+  data_files:
+  - split: train
+    path: wh_vs_that_with_gap/train-*
+- config_name: wh_vs_that_with_gap_long_distance
+  data_files:
+  - split: train
+    path: wh_vs_that_with_gap_long_distance/train-*
 ---
 
 # Dataset Card for "blimp"

adjunct_island/train-00000-of-00001.parquet

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+oid sha256:094b1a6c4d8e88d2a193d25b6a8eaf6dc746158c14eec537802dd2b67f57847b
+size 62231

anaphor_gender_agreement/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:3c3f1d8d9e6aa071151e6455bf121c097ca4f7d9a0a7349ebfc9ec0e193c3472
+size 39201

anaphor_number_agreement/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5dc16d19b9b3694589a11a66c7d0d0ca5707d3762a45d8cf0306133151575784
+size 41547

animate_subject_passive/train-00000-of-00001.parquet

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+oid sha256:d4c957edec77c6fb5b8afc3cee3b5b54c759458e0a19bca54ba1c35570c1d84e
+size 47282

animate_subject_trans/train-00000-of-00001.parquet

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ef2f412c3f47a8bddc0a365aba51c7ce0678bc2a0d52874df923e008ea32bf2d
+size 49651

blimp.py

@@ -1,182 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Lint as: python3
-"""BLiMP dataset with minimal pairs of grammatical phenomena in English."""
-
-
-import json
-
-import datasets
-
-
-_CITATION = """
-@article{warstadt2019blimp,
-  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},
-  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},
-  journal={arXiv preprint arXiv:1912.00582},
-  year={2019}
-}
-"""
-
-_DESCRIPTION = """
-BLiMP is a challenge set for evaluating what language models (LMs) know about
-major grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each
-containing 1000 minimal pairs isolating specific contrasts in syntax,
-morphology, or semantics. The data is automatically generated according to
-expert-crafted grammars.
-"""
-
-_PROJECT_URL = "https://github.com/alexwarstadt/blimp/tree/master/"
-_DOWNLOAD_URL = "https://raw.githubusercontent.com/alexwarstadt/blimp/master/"
-
-
-class BlimpConfig(datasets.BuilderConfig):
-    """BuilderConfig for Blimp."""
-
-    def __init__(self, name, version=datasets.Version("0.1.0"), **kwargs):
-        """BuilderConfig for Blimp.
-
-        Args:
-          name (str): UID of the linguistic paradigm
-          **kwargs: keyword arguments forwarded to super.
-        """
-        description = _DESCRIPTION
-        description += f"This configuration includes the paradigm {name}."
-
-        super().__init__(name=name, description=description, version=version, **kwargs)
-
-
-class Blimp(datasets.GeneratorBasedBuilder):
-    """Minimal grammatical and ungrammatical pairs of 67 linguistic paradigms."""
-
-    all_paradigms = [
-        "adjunct_island",
-        "anaphor_gender_agreement",
-        "anaphor_number_agreement",
-        "animate_subject_passive",
-        "animate_subject_trans",
-        "causative",
-        "complex_NP_island",
-        "coordinate_structure_constraint_complex_left_branch",
-        "coordinate_structure_constraint_object_extraction",
-        "determiner_noun_agreement_1",
-        "determiner_noun_agreement_2",
-        "determiner_noun_agreement_irregular_1",
-        "determiner_noun_agreement_irregular_2",
-        "determiner_noun_agreement_with_adj_2",
-        "determiner_noun_agreement_with_adj_irregular_1",
-        "determiner_noun_agreement_with_adj_irregular_2",
-        "determiner_noun_agreement_with_adjective_1",
-        "distractor_agreement_relational_noun",
-        "distractor_agreement_relative_clause",
-        "drop_argument",
-        "ellipsis_n_bar_1",
-        "ellipsis_n_bar_2",
-        "existential_there_object_raising",
-        "existential_there_quantifiers_1",
-        "existential_there_quantifiers_2",
-        "existential_there_subject_raising",
-        "expletive_it_object_raising",
-        "inchoative",
-        "intransitive",
-        "irregular_past_participle_adjectives",
-        "irregular_past_participle_verbs",
-        "irregular_plural_subject_verb_agreement_1",
-        "irregular_plural_subject_verb_agreement_2",
-        "left_branch_island_echo_question",
-        "left_branch_island_simple_question",
-        "matrix_question_npi_licensor_present",
-        "npi_present_1",
-        "npi_present_2",
-        "only_npi_licensor_present",
-        "only_npi_scope",
-        "passive_1",
-        "passive_2",
-        "principle_A_c_command",
-        "principle_A_case_1",
-        "principle_A_case_2",
-        "principle_A_domain_1",
-        "principle_A_domain_2",
-        "principle_A_domain_3",
-        "principle_A_reconstruction",
-        "regular_plural_subject_verb_agreement_1",
-        "regular_plural_subject_verb_agreement_2",
-        "sentential_negation_npi_licensor_present",
-        "sentential_negation_npi_scope",
-        "sentential_subject_island",
-        "superlative_quantifiers_1",
-        "superlative_quantifiers_2",
-        "tough_vs_raising_1",
-        "tough_vs_raising_2",
-        "transitive",
-        "wh_island",
-        "wh_questions_object_gap",
-        "wh_questions_subject_gap",
-        "wh_questions_subject_gap_long_distance",
-        "wh_vs_that_no_gap",
-        "wh_vs_that_no_gap_long_distance",
-        "wh_vs_that_with_gap",
-        "wh_vs_that_with_gap_long_distance",
-    ]
-
-    BUILDER_CONFIGS = [BlimpConfig(paradigm) for paradigm in all_paradigms]
-
-    def _info(self):
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=datasets.Features(
-                {
-                    "sentence_good": datasets.Value("string"),
-                    "sentence_bad": datasets.Value("string"),
-                    "field": datasets.Value("string"),
-                    "linguistics_term": datasets.Value("string"),
-                    "UID": datasets.Value("string"),
-                    "simple_LM_method": datasets.Value("bool"),
-                    "one_prefix_method": datasets.Value("bool"),
-                    "two_prefix_method": datasets.Value("bool"),
-                    "lexically_identical": datasets.Value("bool"),
-                    "pair_id": datasets.Value("int32"),
-                }
-            ),
-            homepage=_PROJECT_URL,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        download_urls = _DOWNLOAD_URL + f"data/{self.config.name}.jsonl"
-        downloaded_file = dl_manager.download_and_extract(download_urls)
-        return [datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": downloaded_file})]
-
-    def _generate_examples(self, filepath):
-        """Yields examples."""
-        with open(filepath, "r", encoding="utf-8") as f:
-            for line in f:
-                line_dict = json.loads(line)
-                id_ = line_dict["UID"] + "_" + line_dict["pairID"]
-                feats = {
-                    "sentence_good": line_dict["sentence_good"],
-                    "sentence_bad": line_dict["sentence_bad"],
-                    "field": line_dict["field"],
-                    "linguistics_term": line_dict["linguistics_term"],
-                    "UID": line_dict["UID"],
-                    "simple_LM_method": line_dict["simple_LM_method"],
-                    "one_prefix_method": line_dict["one_prefix_method"],
-                    "two_prefix_method": line_dict["two_prefix_method"],
-                    "lexically_identical": line_dict["lexically_identical"],
-                    "pair_id": int(line_dict["pairID"]),
-                }
-                yield id_, feats

causative/train-00000-of-00001.parquet

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complex_NP_island/train-00000-of-00001.parquet

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coordinate_structure_constraint_complex_left_branch/train-00000-of-00001.parquet

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coordinate_structure_constraint_object_extraction/train-00000-of-00001.parquet

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determiner_noun_agreement_2/train-00000-of-00001.parquet

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determiner_noun_agreement_irregular_1/train-00000-of-00001.parquet

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