diff --git a/README.md b/README.md
index b5226b954c19075b2ae58aa0b532953909b97e3e..49023bc42daa17add65297440fed589e1e7e1629 100644
--- a/README.md
+++ b/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
-    num_bytes: 124167
+    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
-    num_bytes: 200367
+    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
-    num_bytes: 212307
+    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
-    num_bytes: 173050
+    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
-    num_bytes: 157515
+    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
-    num_bytes: 165868
+    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
-    num_bytes: 162469
+    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
-    num_bytes: 185924
+    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
-    num_bytes: 185791
+    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
-    num_bytes: 186521
+    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
-    num_bytes: 192868
+    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
-    num_bytes: 218151
+    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
-    num_bytes: 234556
+    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
-    num_bytes: 225136
+    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
-    num_bytes: 164326
+    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
-    num_bytes: 166221
+    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
-    num_bytes: 201458
+    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
-    num_bytes: 240010
+    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
-    num_bytes: 105714
+    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
-    num_bytes: 112492
+    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
-    num_bytes: 146056
+    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
-    num_bytes: 127087
+    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
-    num_bytes: 166979
+    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
-    num_bytes: 155238
+    num_bytes: 153843
     num_examples: 1000
-  download_size: 453376
-  dataset_size: 155238
+  download_size: 42707
+  dataset_size: 153843
 - config_name: left_branch_island_echo_question
   features:
   - name: sentence_good
@@ -968,10 +968,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 149235
+    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
-    num_bytes: 151455
+    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
-    num_bytes: 154657
+    num_bytes: 153262
     num_examples: 1000
-  download_size: 457806
-  dataset_size: 154657
+  download_size: 51899
+  dataset_size: 153262
 - config_name: npi_present_1
   features:
   - name: sentence_good
@@ -1052,10 +1052,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 139860
+    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
-    num_bytes: 129031
+    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
-    num_bytes: 149911
+    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
-    num_bytes: 210297
+    num_bytes: 208902
     num_examples: 1000
-  download_size: 583720
-  dataset_size: 210297
+  download_size: 84970
+  dataset_size: 208902
 - config_name: passive_1
   features:
   - name: sentence_good
@@ -1164,10 +1164,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 147277
+    num_bytes: 145882
     num_examples: 1000
-  download_size: 340272
-  dataset_size: 147277
+  download_size: 53931
+  dataset_size: 145882
 - config_name: passive_2
   features:
   - name: sentence_good
@@ -1192,10 +1192,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 115355
+    num_bytes: 113960
     num_examples: 1000
-  download_size: 308350
-  dataset_size: 115355
+  download_size: 40499
+  dataset_size: 113960
 - config_name: principle_A_c_command
   features:
   - name: sentence_good
@@ -1220,10 +1220,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 189885
+    num_bytes: 188490
     num_examples: 1000
-  download_size: 527689
-  dataset_size: 189885
+  download_size: 67867
+  dataset_size: 188490
 - config_name: principle_A_case_1
   features:
   - name: sentence_good
@@ -1248,10 +1248,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 171793
+    num_bytes: 170398
     num_examples: 1000
-  download_size: 477239
-  dataset_size: 171793
+  download_size: 61092
+  dataset_size: 170398
 - config_name: principle_A_case_2
   features:
   - name: sentence_good
@@ -1276,10 +1276,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 171807
+    num_bytes: 170412
     num_examples: 1000
-  download_size: 492973
-  dataset_size: 171807
+  download_size: 56430
+  dataset_size: 170412
 - config_name: principle_A_domain_1
   features:
   - name: sentence_good
@@ -1304,10 +1304,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 172565
+    num_bytes: 171170
     num_examples: 1000
-  download_size: 499865
-  dataset_size: 172565
+  download_size: 59120
+  dataset_size: 171170
 - config_name: principle_A_domain_2
   features:
   - name: sentence_good
@@ -1332,10 +1332,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 166728
+    num_bytes: 165333
     num_examples: 1000
-  download_size: 493189
-  dataset_size: 166728
+  download_size: 58464
+  dataset_size: 165333
 - config_name: principle_A_domain_3
   features:
   - name: sentence_good
@@ -1360,10 +1360,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 160393
+    num_bytes: 158998
     num_examples: 1000
-  download_size: 513886
-  dataset_size: 160393
+  download_size: 52859
+  dataset_size: 158998
 - config_name: principle_A_reconstruction
   features:
   - name: sentence_good
@@ -1388,10 +1388,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 153499
+    num_bytes: 152104
     num_examples: 1000
-  download_size: 345494
-  dataset_size: 153499
+  download_size: 44480
+  dataset_size: 152104
 - config_name: regular_plural_subject_verb_agreement_1
   features:
   - name: sentence_good
@@ -1416,10 +1416,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 160214
+    num_bytes: 158819
     num_examples: 1000
-  download_size: 451850
-  dataset_size: 160214
+  download_size: 49466
+  dataset_size: 158819
 - config_name: regular_plural_subject_verb_agreement_2
   features:
   - name: sentence_good
@@ -1444,10 +1444,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 155004
+    num_bytes: 153609
     num_examples: 1000
-  download_size: 456477
-  dataset_size: 155004
+  download_size: 43365
+  dataset_size: 153609
 - config_name: sentential_negation_npi_licensor_present
   features:
   - name: sentence_good
@@ -1472,10 +1472,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 173259
+    num_bytes: 171864
     num_examples: 1000
-  download_size: 490996
-  dataset_size: 173259
+  download_size: 54830
+  dataset_size: 171864
 - config_name: sentential_negation_npi_scope
   features:
   - name: sentence_good
@@ -1500,10 +1500,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 233493
+    num_bytes: 232098
     num_examples: 1000
-  download_size: 614930
-  dataset_size: 233493
+  download_size: 90157
+  dataset_size: 232098
 - config_name: sentential_subject_island
   features:
   - name: sentence_good
@@ -1528,10 +1528,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 173827
+    num_bytes: 172432
     num_examples: 1000
-  download_size: 365822
-  dataset_size: 173827
+  download_size: 56666
+  dataset_size: 172432
 - config_name: superlative_quantifiers_1
   features:
   - name: sentence_good
@@ -1556,10 +1556,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 160685
+    num_bytes: 159290
     num_examples: 1000
-  download_size: 381189
-  dataset_size: 160685
+  download_size: 48453
+  dataset_size: 159290
 - config_name: superlative_quantifiers_2
   features:
   - name: sentence_good
@@ -1584,10 +1584,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 160735
+    num_bytes: 159340
     num_examples: 1000
-  download_size: 516120
-  dataset_size: 160735
+  download_size: 50480
+  dataset_size: 159340
 - config_name: tough_vs_raising_1
   features:
   - name: sentence_good
@@ -1612,10 +1612,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 150031
+    num_bytes: 148636
     num_examples: 1000
-  download_size: 343026
-  dataset_size: 150031
+  download_size: 44779
+  dataset_size: 148636
 - config_name: tough_vs_raising_2
   features:
   - name: sentence_good
@@ -1640,10 +1640,10 @@ dataset_info:
     dtype: int32
   splits:
   - name: train
-    num_bytes: 171079
+    num_bytes: 169684
     num_examples: 1000
-  download_size: 364074
-  dataset_size: 171079
+  download_size: 61465
+  dataset_size: 169684
 - 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"
diff --git a/adjunct_island/train-00000-of-00001.parquet b/adjunct_island/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..207642956be62cf4a7de2c0d7315c57a528f8a95
--- /dev/null
+++ b/adjunct_island/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:094b1a6c4d8e88d2a193d25b6a8eaf6dc746158c14eec537802dd2b67f57847b
+size 62231
diff --git a/anaphor_gender_agreement/train-00000-of-00001.parquet b/anaphor_gender_agreement/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..1bc532381883a684035da4caf70d5ada171b301c
--- /dev/null
+++ b/anaphor_gender_agreement/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3c3f1d8d9e6aa071151e6455bf121c097ca4f7d9a0a7349ebfc9ec0e193c3472
+size 39201
diff --git a/anaphor_number_agreement/train-00000-of-00001.parquet b/anaphor_number_agreement/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..7992e65e2c6d336996fca7729cd737feb2ba3b9e
--- /dev/null
+++ b/anaphor_number_agreement/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5dc16d19b9b3694589a11a66c7d0d0ca5707d3762a45d8cf0306133151575784
+size 41547
diff --git a/animate_subject_passive/train-00000-of-00001.parquet b/animate_subject_passive/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..4f19376767d993d1097112e8dd74bc37a29f0d7f
--- /dev/null
+++ b/animate_subject_passive/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d4c957edec77c6fb5b8afc3cee3b5b54c759458e0a19bca54ba1c35570c1d84e
+size 47282
diff --git a/animate_subject_trans/train-00000-of-00001.parquet b/animate_subject_trans/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..0d49d9290d8e3afa5d969f7b914f59a35ec2c19e
--- /dev/null
+++ b/animate_subject_trans/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ef2f412c3f47a8bddc0a365aba51c7ce0678bc2a0d52874df923e008ea32bf2d
+size 49651
diff --git a/blimp.py b/blimp.py
deleted file mode 100644
index 369f816f726d86c2eae7f9a2eb68068409a7c2d4..0000000000000000000000000000000000000000
--- a/blimp.py
+++ /dev/null
@@ -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
diff --git a/causative/train-00000-of-00001.parquet b/causative/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..3013b3308401bfc016bf4cc2274fb7f9e14a0c7a
--- /dev/null
+++ b/causative/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cfec48a03e32498177214dd7add31df1200c2e049c6723678cbd3b66b5da52c4
+size 48963
diff --git a/complex_NP_island/train-00000-of-00001.parquet b/complex_NP_island/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..67fabbc9985fe47ae5d90a047a44c25b8003ecee
--- /dev/null
+++ b/complex_NP_island/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4a01cfd34626f006bcf0ae90ca3f340348b20d1f6c0530450f35b7218e1b8db7
+size 78211
diff --git a/coordinate_structure_constraint_complex_left_branch/train-00000-of-00001.parquet b/coordinate_structure_constraint_complex_left_branch/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..a024370131a8dd3da1bf38e2b24db355a8bab2b4
--- /dev/null
+++ b/coordinate_structure_constraint_complex_left_branch/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b776239fe67070fb13d64671fdeb4a31a81dd0693204abf4447fbe2e582c8f8a
+size 67908
diff --git a/coordinate_structure_constraint_object_extraction/train-00000-of-00001.parquet b/coordinate_structure_constraint_object_extraction/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..a32a97b61ac8e4805481fbeaef689f196bdee066
--- /dev/null
+++ b/coordinate_structure_constraint_object_extraction/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:55d830a519e53f2400d3c436f751295a83a123f46084f247ce802ebec9585816
+size 51584
diff --git a/dataset_infos.json b/dataset_infos.json
deleted file mode 100644
index fcf9b18cbf6b8965daf86211ed711e28ce3303d0..0000000000000000000000000000000000000000
--- a/dataset_infos.json
+++ /dev/null
@@ -1 +0,0 @@
-{"adjunct_island": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "adjunct_island", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 167289, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/adjunct_island.jsonl": {"num_bytes": 359284, "checksum": "ecc71c452516de03deeb9262b4203e45220dc52727327a08eef07c79c01eac8b"}}, "download_size": 359284, "dataset_size": 167289, "size_in_bytes": 526573}, "anaphor_gender_agreement": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "anaphor_gender_agreement", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 132313, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/anaphor_gender_agreement.jsonl": {"num_bytes": 436749, "checksum": "fd7d6e47196fa1310a251d3aa88ae9a62bb64d3cec35fc02617229d5799767e1"}}, "download_size": 436749, "dataset_size": 132313, "size_in_bytes": 569062}, "anaphor_number_agreement": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "anaphor_number_agreement", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 141274, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/anaphor_number_agreement.jsonl": {"num_bytes": 450861, "checksum": "05c16b8bfe4feb5b3552dc2c53d1742ce0c91d9a1c896684335bdddd4373cc9b"}}, "download_size": 450861, "dataset_size": 141274, "size_in_bytes": 592135}, "animate_subject_passive": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "animate_subject_passive", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 145818, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/animate_subject_passive.jsonl": {"num_bytes": 462292, "checksum": "245e91961cf597150244c3945c6d0033e691b27ba6cf298c62920d355426e70c"}}, "download_size": 462292, "dataset_size": 145818, "size_in_bytes": 608110}, "animate_subject_trans": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "animate_subject_trans", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 129193, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/animate_subject_trans.jsonl": {"num_bytes": 433098, "checksum": "a7bffeda200f648c33dd215d91d8f5756fcd1e3f410bab467f1ed9235f215850"}}, "download_size": 433098, "dataset_size": 129193, "size_in_bytes": 562291}, "causative": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "causative", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 124167, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/causative.jsonl": {"num_bytes": 317162, "checksum": "2e1006cc24094a3049586888105b22181d77e09e11dea65a326b49977bb366f1"}}, "download_size": 317162, "dataset_size": 124167, "size_in_bytes": 441329}, "complex_NP_island": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "complex_NP_island", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 200367, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/complex_NP_island.jsonl": {"num_bytes": 392362, "checksum": "1c92472731dd9a21eb222d64bee756042a3763c3797b5283d5b84ab8e3cbb74c"}}, "download_size": 392362, "dataset_size": 200367, "size_in_bytes": 592729}, "coordinate_structure_constraint_complex_left_branch": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "coordinate_structure_constraint_complex_left_branch", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 212307, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/coordinate_structure_constraint_complex_left_branch.jsonl": {"num_bytes": 571696, "checksum": "47e0e04efeb320449a8eb2ac722b895041a8609580fec2880dbc719f50fba194"}}, "download_size": 571696, "dataset_size": 212307, "size_in_bytes": 784003}, "coordinate_structure_constraint_object_extraction": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "coordinate_structure_constraint_object_extraction", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 173050, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/coordinate_structure_constraint_object_extraction.jsonl": {"num_bytes": 366045, "checksum": "d01c27a7a893f3ec071a7913efa504d297671d86a987f26ddb565de914db2fd7"}}, "download_size": 366045, "dataset_size": 173050, "size_in_bytes": 539095}, "determiner_noun_agreement_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "determiner_noun_agreement_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 157515, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/determiner_noun_agreement_1.jsonl": {"num_bytes": 468642, "checksum": "f48065fd760d0fd1a895012860d38bdf3c2ac115cd221e521684cc430c0f1855"}}, "download_size": 468642, "dataset_size": 157515, "size_in_bytes": 626157}, "determiner_noun_agreement_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "determiner_noun_agreement_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 157599, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/determiner_noun_agreement_2.jsonl": {"num_bytes": 488856, "checksum": "8ae7eff7c7bd384ff5ef3113984834f4d78b34559203aa9d5cb14ea8394291a9"}}, "download_size": 488856, "dataset_size": 157599, "size_in_bytes": 646455}, "determiner_noun_agreement_irregular_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "determiner_noun_agreement_irregular_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 165868, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/determiner_noun_agreement_irregular_1.jsonl": {"num_bytes": 474932, "checksum": "4f350e88db9e29e53ae96f1f0b5991c7809fd4fd403190907330b721e1e6e264"}}, "download_size": 474932, "dataset_size": 165868, "size_in_bytes": 640800}, "determiner_noun_agreement_irregular_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "determiner_noun_agreement_irregular_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 162469, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/determiner_noun_agreement_irregular_2.jsonl": {"num_bytes": 490854, "checksum": "d688af0ccd0614d24a936e0929276784f37554f3ad3e247c3bade8dcaa9099df"}}, "download_size": 490854, "dataset_size": 162469, "size_in_bytes": 653323}, "determiner_noun_agreement_with_adj_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "determiner_noun_agreement_with_adj_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 181061, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/determiner_noun_agreement_with_adj_2.jsonl": {"num_bytes": 526806, "checksum": "8d2828d7dfbfc3f7191024514060fedb033ea2e232304f63448c33051a85d2b3"}}, "download_size": 526806, "dataset_size": 181061, "size_in_bytes": 707867}, "determiner_noun_agreement_with_adj_irregular_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "determiner_noun_agreement_with_adj_irregular_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 185924, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/determiner_noun_agreement_with_adj_irregular_1.jsonl": {"num_bytes": 499664, "checksum": "1f4c6e42a48f4220afec629679641479feac3883cd7fa346d9e9e129cd7e8f55"}}, "download_size": 499664, "dataset_size": 185924, "size_in_bytes": 685588}, "determiner_noun_agreement_with_adj_irregular_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "determiner_noun_agreement_with_adj_irregular_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 185791, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/determiner_noun_agreement_with_adj_irregular_2.jsonl": {"num_bytes": 528528, "checksum": "aa3f297a7ce0c03b5fc00458834f89e54eb855973be098497f766a390b4bc669"}}, "download_size": 528528, "dataset_size": 185791, "size_in_bytes": 714319}, "determiner_noun_agreement_with_adjective_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "determiner_noun_agreement_with_adjective_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 186521, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/determiner_noun_agreement_with_adjective_1.jsonl": {"num_bytes": 504676, "checksum": "2c3de4e7b7aea499fb7cf1b23b9c3b63662289880f991b9ffabe5ceb94cf7430"}}, "download_size": 504676, "dataset_size": 186521, "size_in_bytes": 691197}, "distractor_agreement_relational_noun": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "distractor_agreement_relational_noun", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 192868, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/distractor_agreement_relational_noun.jsonl": {"num_bytes": 525650, "checksum": "37c1553f4c6594b162256edce0f6b40bad1898b311c8aaa69605b526b6494a34"}}, "download_size": 525650, "dataset_size": 192868, "size_in_bytes": 718518}, "distractor_agreement_relative_clause": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "distractor_agreement_relative_clause", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 218151, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/distractor_agreement_relative_clause.jsonl": {"num_bytes": 564770, "checksum": "854728b6db8f23f12583f7332b654835351eaedb50783e6f2a3bf6c101b8c422"}}, "download_size": 564770, "dataset_size": 218151, "size_in_bytes": 782921}, "drop_argument": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "drop_argument", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 111201, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/drop_argument.jsonl": {"num_bytes": 304196, "checksum": "e262339a262a57a8f56dc41941ee1dc32c62eb97054b27d33cd8c356a6e62064"}}, "download_size": 304196, "dataset_size": 111201, "size_in_bytes": 415397}, "ellipsis_n_bar_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "ellipsis_n_bar_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 218985, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/ellipsis_n_bar_1.jsonl": {"num_bytes": 411980, "checksum": "3cc0bcf91631a4476ce573ea9dbf9627d52efbe071c26019e2c2448b68769d09"}}, "download_size": 411980, "dataset_size": 218985, "size_in_bytes": 630965}, "ellipsis_n_bar_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "ellipsis_n_bar_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 234556, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/ellipsis_n_bar_2.jsonl": {"num_bytes": 427551, "checksum": "3dfc2b378ea4867186917ec9cce5ce927e4d3bb6addf018bc31b870dd2aa8474"}}, "download_size": 427551, "dataset_size": 234556, "size_in_bytes": 662107}, "existential_there_object_raising": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "existential_there_object_raising", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 225136, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/existential_there_object_raising.jsonl": {"num_bytes": 550672, "checksum": "3781bfd54ec1208fc634f4d365189f948ec246526a7345b5148dd3ab6023ff4f"}}, "download_size": 550672, "dataset_size": 225136, "size_in_bytes": 775808}, "existential_there_quantifiers_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "existential_there_quantifiers_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 164326, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/existential_there_quantifiers_1.jsonl": {"num_bytes": 357321, "checksum": "4bd0f6dee3c1824b51b0dafb9fce2b00933e8053fcd4a7b99b6202e1b8b49f9e"}}, "download_size": 357321, "dataset_size": 164326, "size_in_bytes": 521647}, "existential_there_quantifiers_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "existential_there_quantifiers_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 166221, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/existential_there_quantifiers_2.jsonl": {"num_bytes": 359216, "checksum": "b1a80f4ebebae90a90927259f95b680059020e6bb4e38e64a41eb8e53bc3f617"}}, "download_size": 359216, "dataset_size": 166221, "size_in_bytes": 525437}, "existential_there_subject_raising": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "existential_there_subject_raising", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 201458, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/existential_there_subject_raising.jsonl": {"num_bytes": 394453, "checksum": "7c6f5b13225f73a777755c1948beef5cfa31d135ae8a0e7ba8853d256fbece23"}}, "download_size": 394453, "dataset_size": 201458, "size_in_bytes": 595911}, "expletive_it_object_raising": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "expletive_it_object_raising", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 240010, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/expletive_it_object_raising.jsonl": {"num_bytes": 587648, "checksum": "15ed3a52c978ecfe5eda7f64b0304b5bd133439cccb2c97fde20834f39874c93"}}, "download_size": 587648, "dataset_size": 240010, "size_in_bytes": 827658}, "inchoative": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "inchoative", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 105714, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/inchoative.jsonl": {"num_bytes": 298709, "checksum": "d9389a7130ca84c6f920c9d892cc60c1b20f378d28e7041b1c53ae589fc84f1d"}}, "download_size": 298709, "dataset_size": 105714, "size_in_bytes": 404423}, "intransitive": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "intransitive", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 112492, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/intransitive.jsonl": {"num_bytes": 305487, "checksum": "9af9f3f30c891cd21623922b62fd97685552b4ae94a6cfd5617a5f0cb0f731b3"}}, "download_size": 305487, "dataset_size": 112492, "size_in_bytes": 417979}, "irregular_past_participle_adjectives": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "irregular_past_participle_adjectives", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 146056, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/irregular_past_participle_adjectives.jsonl": {"num_bytes": 444520, "checksum": "5e490be0723989499391ac14d11b3bb6677f4b470514486b2db3fbfe76d56b3c"}}, "download_size": 444520, "dataset_size": 146056, "size_in_bytes": 590576}, "irregular_past_participle_verbs": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "irregular_past_participle_verbs", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 127087, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/irregular_past_participle_verbs.jsonl": {"num_bytes": 420119, "checksum": "75a990117c1a403d3b479e0fbe170f6919c2408def738ffcea8c62b49b70a555"}}, "download_size": 420119, "dataset_size": 127087, "size_in_bytes": 547206}, "irregular_plural_subject_verb_agreement_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "irregular_plural_subject_verb_agreement_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 166979, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/irregular_plural_subject_verb_agreement_1.jsonl": {"num_bytes": 460705, "checksum": "0066174143671bffa54232d89254d14221afab666273edfefdfb625fbb75e226"}}, "download_size": 460705, "dataset_size": 166979, "size_in_bytes": 627684}, "irregular_plural_subject_verb_agreement_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "irregular_plural_subject_verb_agreement_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 155238, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/irregular_plural_subject_verb_agreement_2.jsonl": {"num_bytes": 453376, "checksum": "9b22db814e7b7251f4abafe8beb9616f2f46eaa58f7cdb701cbc737cc8f1a124"}}, "download_size": 453376, "dataset_size": 155238, "size_in_bytes": 608614}, "left_branch_island_echo_question": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "left_branch_island_echo_question", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 149235, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/left_branch_island_echo_question.jsonl": {"num_bytes": 482617, "checksum": "7dadbe3c5a5ceadb78b9408807ac88230ddd748abfe8de8121f064e2bce94ad8"}}, "download_size": 482617, "dataset_size": 149235, "size_in_bytes": 631852}, "left_branch_island_simple_question": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "left_branch_island_simple_question", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 151455, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/left_branch_island_simple_question.jsonl": {"num_bytes": 343450, "checksum": "e2a64b8a1b7b8d94f931018cf9325836e9c79953a01379233da255eac5e8cd71"}}, "download_size": 343450, "dataset_size": 151455, "size_in_bytes": 494905}, "matrix_question_npi_licensor_present": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "matrix_question_npi_licensor_present", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 154657, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/matrix_question_npi_licensor_present.jsonl": {"num_bytes": 457806, "checksum": "657c9d6e6d50a9cd651881fcbc57cef2fd998611f6f53158ed05e48822fcd2b5"}}, "download_size": 457806, "dataset_size": 154657, "size_in_bytes": 612463}, "npi_present_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "npi_present_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 139860, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/npi_present_1.jsonl": {"num_bytes": 438013, "checksum": "9aa85dc5c2b0d85ea51f21db50d6d327ab5b45d1669e386d54b1360d3ac954af"}}, "download_size": 438013, "dataset_size": 139860, "size_in_bytes": 577873}, "npi_present_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "npi_present_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 129031, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/npi_present_2.jsonl": {"num_bytes": 422136, "checksum": "52fcfa230a40ae27998273cc08ecd062aad17025c92389df3404a85ed519909b"}}, "download_size": 422136, "dataset_size": 129031, "size_in_bytes": 551167}, "only_npi_licensor_present": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "only_npi_licensor_present", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 149911, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/only_npi_licensor_present.jsonl": {"num_bytes": 459170, "checksum": "475c6595187a32e4dcfb868d3db90394e89669a94a9312ebd60f88dad1665f1c"}}, "download_size": 459170, "dataset_size": 149911, "size_in_bytes": 609081}, "only_npi_scope": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "only_npi_scope", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 210297, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/only_npi_scope.jsonl": {"num_bytes": 583720, "checksum": "ca1f0671643e37936515f02125036bc2904ab9b35c4689b0e7a3ea3914e571f6"}}, "download_size": 583720, "dataset_size": 210297, "size_in_bytes": 794017}, "passive_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "passive_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 147277, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/passive_1.jsonl": {"num_bytes": 340272, "checksum": "e9374307bca5c24e9df18597a0859f7fb5ca4cfe5f136ec894d1ba69f4c90116"}}, "download_size": 340272, "dataset_size": 147277, "size_in_bytes": 487549}, "passive_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "passive_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 115355, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/passive_2.jsonl": {"num_bytes": 308350, "checksum": "4d49e438185bed4122a252dd9ee69bc8eccb2fe6c1b09ccc78198fd925fed8c5"}}, "download_size": 308350, "dataset_size": 115355, "size_in_bytes": 423705}, "principle_A_c_command": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "principle_A_c_command", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 189885, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/principle_A_c_command.jsonl": {"num_bytes": 527689, "checksum": "74c8111666542c797dee1c38c9e432b0b65751dfa0faa51874a990f2cbfc76fc"}}, "download_size": 527689, "dataset_size": 189885, "size_in_bytes": 717574}, "principle_A_case_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "principle_A_case_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 171793, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/principle_A_case_1.jsonl": {"num_bytes": 477239, "checksum": "7efb5246fe315dc2cf56b80739783cffcddee9e52650716cf5aa0f6987f7644d"}}, "download_size": 477239, "dataset_size": 171793, "size_in_bytes": 649032}, "principle_A_case_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "principle_A_case_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 171807, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/principle_A_case_2.jsonl": {"num_bytes": 492973, "checksum": "5de6db4c21a8433bc1f1030e81d5ee151efce02078460f7de7ca5e9566afd914"}}, "download_size": 492973, "dataset_size": 171807, "size_in_bytes": 664780}, "principle_A_domain_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "principle_A_domain_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 172565, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/principle_A_domain_1.jsonl": {"num_bytes": 499865, "checksum": "2276dc35a51396c7d11a401e378e0f4b31cd10d7916c73e9a361703cb96eddc5"}}, "download_size": 499865, "dataset_size": 172565, "size_in_bytes": 672430}, "principle_A_domain_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "principle_A_domain_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 166728, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/principle_A_domain_2.jsonl": {"num_bytes": 493189, "checksum": "9d14e5ae911fb8ddf571484ef2d6a6e6a053765c1c6d34253aec2c11f7d7306a"}}, "download_size": 493189, "dataset_size": 166728, "size_in_bytes": 659917}, "principle_A_domain_3": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "principle_A_domain_3", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 160393, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/principle_A_domain_3.jsonl": {"num_bytes": 513886, "checksum": "a0d66b9d8541ab1df08f629161c6c4e8bca3aa2693eaa342edd2097e6b579bdd"}}, "download_size": 513886, "dataset_size": 160393, "size_in_bytes": 674279}, "principle_A_reconstruction": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "principle_A_reconstruction", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 153499, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/principle_A_reconstruction.jsonl": {"num_bytes": 345494, "checksum": "65dc403c4d6e9a609f2c4cc2ec6c8baa05cf6fce89b920a816b0d9932204b2a3"}}, "download_size": 345494, "dataset_size": 153499, "size_in_bytes": 498993}, "regular_plural_subject_verb_agreement_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "regular_plural_subject_verb_agreement_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 160214, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/regular_plural_subject_verb_agreement_1.jsonl": {"num_bytes": 451850, "checksum": "1a18d94062c8e792c0a200a3b00dff0e051a92bb084c05e9b5e5c73bee32a620"}}, "download_size": 451850, "dataset_size": 160214, "size_in_bytes": 612064}, "regular_plural_subject_verb_agreement_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "regular_plural_subject_verb_agreement_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 155004, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/regular_plural_subject_verb_agreement_2.jsonl": {"num_bytes": 456477, "checksum": "e5b4668811e63b00ac4c9569cb9553281a39c21df43256905ad78e59ae24942c"}}, "download_size": 456477, "dataset_size": 155004, "size_in_bytes": 611481}, "sentential_negation_npi_licensor_present": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "sentential_negation_npi_licensor_present", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 173259, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/sentential_negation_npi_licensor_present.jsonl": {"num_bytes": 490996, "checksum": "c43405aca13ba4aa6ad87f9b051e4ba5fc458f24e683cfe0af23e6e09ec7268b"}}, "download_size": 490996, "dataset_size": 173259, "size_in_bytes": 664255}, "sentential_negation_npi_scope": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "sentential_negation_npi_scope", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 233493, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/sentential_negation_npi_scope.jsonl": {"num_bytes": 614930, "checksum": "6c341ccc39c94bea45c0412986751bf2f6eca48626728e30e23d2b6a22c8b949"}}, "download_size": 614930, "dataset_size": 233493, "size_in_bytes": 848423}, "sentential_subject_island": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "sentential_subject_island", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 173827, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/sentential_subject_island.jsonl": {"num_bytes": 365822, "checksum": "a286b67cc5912aafeb06750b38923abf3338786ffa4309e0a6a07b1dbe2444bd"}}, "download_size": 365822, "dataset_size": 173827, "size_in_bytes": 539649}, "superlative_quantifiers_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "superlative_quantifiers_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 160685, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/superlative_quantifiers_1.jsonl": {"num_bytes": 381189, "checksum": "bebc5c5ff28cf226cc35293c60cde1fcf7565a7b58cb219d01ac8908b952a497"}}, "download_size": 381189, "dataset_size": 160685, "size_in_bytes": 541874}, "superlative_quantifiers_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "superlative_quantifiers_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 160735, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/superlative_quantifiers_2.jsonl": {"num_bytes": 516120, "checksum": "4bef08f3e6bd3fbb46021dda34000f3c00222c5576babe4882a8541f6820a106"}}, "download_size": 516120, "dataset_size": 160735, "size_in_bytes": 676855}, "tough_vs_raising_1": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "tough_vs_raising_1", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 150031, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/tough_vs_raising_1.jsonl": {"num_bytes": 343026, "checksum": "8eb3a1ecbdbd969c5b77e2f85b12a39d33723bdc58d673e5067bb456da91d0e5"}}, "download_size": 343026, "dataset_size": 150031, "size_in_bytes": 493057}, "tough_vs_raising_2": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "tough_vs_raising_2", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 171079, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/tough_vs_raising_2.jsonl": {"num_bytes": 364074, "checksum": "a6db2f24a8aee0c90a9be63e6bb6787fe04e990c518761115f69f27c7438b5ae"}}, "download_size": 364074, "dataset_size": 171079, "size_in_bytes": 535153}, "transitive": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "transitive", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 134499, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/transitive.jsonl": {"num_bytes": 460291, "checksum": "48de2025571897c7590659c793d2d1ce85c247808d4199bad60f66cf2eb179ef"}}, "download_size": 460291, "dataset_size": 134499, "size_in_bytes": 594790}, "wh_island": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "wh_island", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 143735, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/wh_island.jsonl": {"num_bytes": 448630, "checksum": "77824ca8c0008fb7a204e785ca2dcee1b2803f666bb545bd95cb8a51e04f1a4c"}}, "download_size": 448630, "dataset_size": 143735, "size_in_bytes": 592365}, "wh_questions_object_gap": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "wh_questions_object_gap", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 194440, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/wh_questions_object_gap.jsonl": {"num_bytes": 387435, "checksum": "685c74eb8c199f30a24bba1bfabf9d9dff7962a64430e62b9b5f61d5369241ff"}}, "download_size": 387435, "dataset_size": 194440, "size_in_bytes": 581875}, "wh_questions_subject_gap": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "wh_questions_subject_gap", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 196988, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/wh_questions_subject_gap.jsonl": {"num_bytes": 389983, "checksum": "3c33e4efc7182824211ff3288694cf010f4ce84f85c8df67410d784139c722b3"}}, "download_size": 389983, "dataset_size": 196988, "size_in_bytes": 586971}, "wh_questions_subject_gap_long_distance": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "wh_questions_subject_gap_long_distance", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 269665, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/wh_questions_subject_gap_long_distance.jsonl": {"num_bytes": 462660, "checksum": "985bae202dbc5566b9b5c51bd77dd9d1dbcd87e0f38e008c34a11d7aa07db788"}}, "download_size": 462660, "dataset_size": 269665, "size_in_bytes": 732325}, "wh_vs_that_no_gap": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "wh_vs_that_no_gap", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 190267, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/wh_vs_that_no_gap.jsonl": {"num_bytes": 383262, "checksum": "6a25d0d1499e9f522696a62ce9dba8c49f58c5446fddc6d852bf562d1016163c"}}, "download_size": 383262, "dataset_size": 190267, "size_in_bytes": 573529}, "wh_vs_that_no_gap_long_distance": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "wh_vs_that_no_gap_long_distance", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 248434, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/wh_vs_that_no_gap_long_distance.jsonl": {"num_bytes": 441429, "checksum": "968faf59602a67f9cfd7c2e91a314a3f7342fd5daf41c21cadd25288fc85fdcf"}}, "download_size": 441429, "dataset_size": 248434, "size_in_bytes": 689863}, "wh_vs_that_with_gap": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "wh_vs_that_with_gap", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 174781, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/wh_vs_that_with_gap.jsonl": {"num_bytes": 367776, "checksum": "56f1ca988a8ca368234f12359792c414fdfec2891154e3f8ce6404da1d3f3212"}}, "download_size": 367776, "dataset_size": 174781, "size_in_bytes": 542557}, "wh_vs_that_with_gap_long_distance": {"description": "\nBLiMP is a challenge set for evaluating what language models (LMs) know about\nmajor grammatical phenomena in English. BLiMP consists of 67 sub-datasets, each\ncontaining 1000 minimal pairs isolating specific contrasts in syntax,\nmorphology, or semantics. The data is automatically generated according to\nexpert-crafted grammars.\n", "citation": "\n@article{warstadt2019blimp,\n  title={BLiMP: A Benchmark of Linguistic Minimal Pairs for English},\n  author={Warstadt, Alex and Parrish, Alicia and Liu, Haokun and Mohananey, Anhad and Peng, Wei, and Wang, Sheng-Fu and Bowman, Samuel R},\n  journal={arXiv preprint arXiv:1912.00582},\n  year={2019}\n}\n", "homepage": "https://github.com/alexwarstadt/blimp/tree/master/", "license": "", "features": {"sentence_good": {"dtype": "string", "id": null, "_type": "Value"}, "sentence_bad": {"dtype": "string", "id": null, "_type": "Value"}, "field": {"dtype": "string", "id": null, "_type": "Value"}, "linguistics_term": {"dtype": "string", "id": null, "_type": "Value"}, "UID": {"dtype": "string", "id": null, "_type": "Value"}, "simple_LM_method": {"dtype": "bool", "id": null, "_type": "Value"}, "one_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "two_prefix_method": {"dtype": "bool", "id": null, "_type": "Value"}, "lexically_identical": {"dtype": "bool", "id": null, "_type": "Value"}, "pair_id": {"dtype": "int32", "id": null, "_type": "Value"}}, "supervised_keys": null, "builder_name": "blimp", "config_name": "wh_vs_that_with_gap_long_distance", "version": {"version_str": "0.1.0", "description": null, "datasets_version_to_prepare": null, "major": 0, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 232990, "num_examples": 1000, "dataset_name": "blimp"}}, "download_checksums": {"https://raw.githubusercontent.com/alexwarstadt/blimp/master/data/wh_vs_that_with_gap_long_distance.jsonl": {"num_bytes": 425985, "checksum": "3cb19100d6384264e512801e96c20e172a3c0c7778276b80ed60c65e97b86ab5"}}, "download_size": 425985, "dataset_size": 232990, "size_in_bytes": 658975}}
\ No newline at end of file
diff --git a/determiner_noun_agreement_1/train-00000-of-00001.parquet b/determiner_noun_agreement_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..aa16117dce314cc2f27a4902fc919e5db275159a
--- /dev/null
+++ b/determiner_noun_agreement_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eac75d95c9fa5a1e6e560918d8a2edf64e4c6e0fae8622a7389bbd5ec514727f
+size 49893
diff --git a/determiner_noun_agreement_2/train-00000-of-00001.parquet b/determiner_noun_agreement_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..d1cb8ab1e25b4025f8324ec574844307ab9ed593
--- /dev/null
+++ b/determiner_noun_agreement_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:17520554fff0a78a122cc5bf92708e64099b6907d1791c029a1c254e20089bca
+size 49527
diff --git a/determiner_noun_agreement_irregular_1/train-00000-of-00001.parquet b/determiner_noun_agreement_irregular_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..407d607e424864c2d91cee4bd9cc9ba7e4b2b6ce
--- /dev/null
+++ b/determiner_noun_agreement_irregular_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b73d7c301e81f55ce3631cf2c0a02de83a1c5fdf70fdaef4bff90ac5d4f60c7d
+size 47274
diff --git a/determiner_noun_agreement_irregular_2/train-00000-of-00001.parquet b/determiner_noun_agreement_irregular_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..2b217afd4dedda001bf76b7331ad095fa690b23c
--- /dev/null
+++ b/determiner_noun_agreement_irregular_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:73c404f947d00d35d8b21cce80d0c23b51268873fa834d162018fb45927d1c6c
+size 47422
diff --git a/determiner_noun_agreement_with_adj_2/train-00000-of-00001.parquet b/determiner_noun_agreement_with_adj_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..96eaa45235d5b2582e37c027acaa35bd8332e192
--- /dev/null
+++ b/determiner_noun_agreement_with_adj_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:732f6dc785f282ef4757e119c847feef552c324b7125bb5191eb1f1377ef060d
+size 56346
diff --git a/determiner_noun_agreement_with_adj_irregular_1/train-00000-of-00001.parquet b/determiner_noun_agreement_with_adj_irregular_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..662ca925efbb648483d79093d2ffa2bf99826bf9
--- /dev/null
+++ b/determiner_noun_agreement_with_adj_irregular_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:939567391e6ec007ef20a9f8306f41b2ee0e25c380842550ca46bcf0484ceca9
+size 54405
diff --git a/determiner_noun_agreement_with_adj_irregular_2/train-00000-of-00001.parquet b/determiner_noun_agreement_with_adj_irregular_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..9f529949f715ee0250458bde55c3075e88564006
--- /dev/null
+++ b/determiner_noun_agreement_with_adj_irregular_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e71c6a9baf9cf00d9e4bee09ac01590f9f3f96265ea80821ce309696d840811a
+size 54064
diff --git a/determiner_noun_agreement_with_adjective_1/train-00000-of-00001.parquet b/determiner_noun_agreement_with_adjective_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..56724953aa4a6e438e56f6099acf2fa6bdcf0c7b
--- /dev/null
+++ b/determiner_noun_agreement_with_adjective_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dd61dd23aa32be9bfe5f8c440a1bfc1720bde1543428cbe919a1359f53fa8cfb
+size 55682
diff --git a/distractor_agreement_relational_noun/train-00000-of-00001.parquet b/distractor_agreement_relational_noun/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..90a800df8622de1a9249ed7ed1adea292ec70cbb
--- /dev/null
+++ b/distractor_agreement_relational_noun/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2e0cef46676c822f3443d91aab2daaab23e177bc9b033d2eb50324df29052ae9
+size 59641
diff --git a/distractor_agreement_relative_clause/train-00000-of-00001.parquet b/distractor_agreement_relative_clause/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..9124577c5b30e8d8e0bc1e5a7262092873654b8e
--- /dev/null
+++ b/distractor_agreement_relative_clause/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c23c03ee033d92d9c22061089a80cbca29da2d337764bfa9bd20dc9d14d42afc
+size 77897
diff --git a/drop_argument/train-00000-of-00001.parquet b/drop_argument/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..5ed3d698d0b926ef7c68685ec0350ead764dbd0d
--- /dev/null
+++ b/drop_argument/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4acf04febbe94ca4d8e0d12d2e02c808fb028c3501f4e66e62b1a1e2bfc8fdf3
+size 39961
diff --git a/ellipsis_n_bar_1/train-00000-of-00001.parquet b/ellipsis_n_bar_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..be12c40046d9b27aba9d01ee80ce563497a8a19c
--- /dev/null
+++ b/ellipsis_n_bar_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:58edad00d53c2abe73e721a8afdd6220c06c5bf3aeb860da8670249b181a5fa1
+size 92776
diff --git a/ellipsis_n_bar_2/train-00000-of-00001.parquet b/ellipsis_n_bar_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..11d4bc1b876bc69c609bc368857a2e68709b4c41
--- /dev/null
+++ b/ellipsis_n_bar_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7506bd80abb5c2d54afddf64042bc2df6d587b271f37832c2dcdfa1b66c11d70
+size 98882
diff --git a/existential_there_object_raising/train-00000-of-00001.parquet b/existential_there_object_raising/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..ba49fa77c96be3d686dca1773d44d13aabf57a97
--- /dev/null
+++ b/existential_there_object_raising/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c63d5b77b5d40e0a8d475342d9893f2809093653b08c04f69f8a17252a98809
+size 76641
diff --git a/existential_there_quantifiers_1/train-00000-of-00001.parquet b/existential_there_quantifiers_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..5450ebe8bb79392e25498a0a445b713eb0b15895
--- /dev/null
+++ b/existential_there_quantifiers_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac2e197d55304a262bfeddaa498163f475e6da53dcab819892c799f58a229d99
+size 51576
diff --git a/existential_there_quantifiers_2/train-00000-of-00001.parquet b/existential_there_quantifiers_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..9e1f7315d034f47c4542ab5659a79eb4565a39af
--- /dev/null
+++ b/existential_there_quantifiers_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df307122fda88d067682497963044cfff29e3de5d9a88ace338e61d91e016f55
+size 52092
diff --git a/existential_there_subject_raising/train-00000-of-00001.parquet b/existential_there_subject_raising/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..8d520c8e1bc13980ec35310f2815d9e1a751967e
--- /dev/null
+++ b/existential_there_subject_raising/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1e281bf8a80a598b73f173f575003f6c3a7899143dd27412e18c06e5b561e171
+size 59519
diff --git a/expletive_it_object_raising/train-00000-of-00001.parquet b/expletive_it_object_raising/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..d1a0d6dfb5ecbbe64f0ed25428f9fa0f668873ee
--- /dev/null
+++ b/expletive_it_object_raising/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:45a0a957726a018283bb5eaefc7a902257b363234f9b8793a73f8c4acfd20347
+size 88607
diff --git a/inchoative/train-00000-of-00001.parquet b/inchoative/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..1754db6d116f9a0e355277d0d4f3ed0a634b0e2c
--- /dev/null
+++ b/inchoative/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb452cd6ee3795f19a6b6e8b4328172610610c8cd9ed943c58c1ebbcd7e769cd
+size 39842
diff --git a/intransitive/train-00000-of-00001.parquet b/intransitive/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..7e263fd9fd7ad13e1d3eaeabb8b56c15a0cd733c
--- /dev/null
+++ b/intransitive/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f04f66e0a30a5f0ca8bbe130ed8f680ccf09d42a1e7971a1520352d37b667627
+size 42387
diff --git a/irregular_past_participle_adjectives/train-00000-of-00001.parquet b/irregular_past_participle_adjectives/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..533f351e03562f2bcd1f8979ad86e7e1ac52670f
--- /dev/null
+++ b/irregular_past_participle_adjectives/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:77d65967bbf67977e0ccaa13f190a3ebcf2066222fa6bb343841257d6ad564c3
+size 36654
diff --git a/irregular_past_participle_verbs/train-00000-of-00001.parquet b/irregular_past_participle_verbs/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..c724939baa149dbfa7dc6c3a7bce198de728ba31
--- /dev/null
+++ b/irregular_past_participle_verbs/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f6acd480c04c37beac4a65252edf51b2472c391646ec55ff04794d29b0f1338e
+size 37297
diff --git a/irregular_plural_subject_verb_agreement_1/train-00000-of-00001.parquet b/irregular_plural_subject_verb_agreement_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..912345a8ac5db3b70d0175ae0f78f76e862e0c80
--- /dev/null
+++ b/irregular_plural_subject_verb_agreement_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b4b07609019d870a0b95ee8245d0e3d97ea9999098d58eb03b49dbfe1a975e2c
+size 50725
diff --git a/irregular_plural_subject_verb_agreement_2/train-00000-of-00001.parquet b/irregular_plural_subject_verb_agreement_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..fbcc7874cf8dc6311e59b5930a3227d56fc76b10
--- /dev/null
+++ b/irregular_plural_subject_verb_agreement_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66a1bf6bba6daad40a9d90676e5f7971bf2f12543f96557968fa60ab40e25adc
+size 42707
diff --git a/left_branch_island_echo_question/train-00000-of-00001.parquet b/left_branch_island_echo_question/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..9f58727d20980b542932f063ee45ebff5dcccde1
--- /dev/null
+++ b/left_branch_island_echo_question/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:41a535903bc7f138d556dc01cff7cb6d9d8cc8e5d40fca1cb17e5da18ce12ae4
+size 50481
diff --git a/left_branch_island_simple_question/train-00000-of-00001.parquet b/left_branch_island_simple_question/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..3aba7393ee0fcf5cfe29aa584ba322e35583286b
--- /dev/null
+++ b/left_branch_island_simple_question/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c718b6f37cb5674c5f8dfd2094d7cd54c43fe6f86154cf3a73eaf2dc74aa721
+size 50293
diff --git a/matrix_question_npi_licensor_present/train-00000-of-00001.parquet b/matrix_question_npi_licensor_present/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..2356775134c7ce1a4294ddb8c577f8e59d6aeccb
--- /dev/null
+++ b/matrix_question_npi_licensor_present/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a7ed0834104a8fe81b389072c856c10779d660295f924067362740d7901d3532
+size 51899
diff --git a/npi_present_1/train-00000-of-00001.parquet b/npi_present_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..7510eb7ce10657937cbe1c2558fc7d7b3709271c
--- /dev/null
+++ b/npi_present_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cca3e48e8a08528c06eaec33e9a53aa2875048642f6b38f8c03355c008a55c4f
+size 51981
diff --git a/npi_present_2/train-00000-of-00001.parquet b/npi_present_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..393d7ed76165a3f55f7b27324bbea1b9c27b9ceb
--- /dev/null
+++ b/npi_present_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:44cdf2e5c7964d7618370927e5a86753f87de84b4b53555ed19f710eb61f8240
+size 51661
diff --git a/only_npi_licensor_present/train-00000-of-00001.parquet b/only_npi_licensor_present/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..afc3153fe6fd7acd0e54d2b9c3205ab4e7cb3993
--- /dev/null
+++ b/only_npi_licensor_present/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e26a57bc8d8625bfcc1cc018d6c46944abf202aa5f874a39a0f04c24df9e178
+size 51361
diff --git a/only_npi_scope/train-00000-of-00001.parquet b/only_npi_scope/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..2d1f108143954f0884e92f76eacc421f044ccf1d
--- /dev/null
+++ b/only_npi_scope/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5c14f42c274448aaaaa7fe0e94440f9fdbe5c01a9cf1673af824189678d90e7
+size 84970
diff --git a/passive_1/train-00000-of-00001.parquet b/passive_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..e548d1eb37ab4595fcaff842593d10cb2c4c88ab
--- /dev/null
+++ b/passive_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3bcb3d7397215b8fc4804d74c6c2accf37c649cdf3976a56d8964004ed4f0ee5
+size 53931
diff --git a/passive_2/train-00000-of-00001.parquet b/passive_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..4f59e2e1ee790189f9c4bd6fa79dd7a885779919
--- /dev/null
+++ b/passive_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee29e69ca55ec89cf648a57595f13c2b7271995ffb3329e10233a6703dbdd1bf
+size 40499
diff --git a/principle_A_c_command/train-00000-of-00001.parquet b/principle_A_c_command/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..aefc2ac9963e25bf0260239a37fe5fd9355ffd34
--- /dev/null
+++ b/principle_A_c_command/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6d18116ede2c686232348552e632f04be358cc62ce1a8c3d65e32263c625c887
+size 67867
diff --git a/principle_A_case_1/train-00000-of-00001.parquet b/principle_A_case_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..0d77c529a9225410f6652e07c337ff3110ae0705
--- /dev/null
+++ b/principle_A_case_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:6615f7f1572b9bcc335be59e7645002ceb2c95d92dc2371551c91db48d9a9a55
+size 61092
diff --git a/principle_A_case_2/train-00000-of-00001.parquet b/principle_A_case_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..de1b627535f7cde3dccace588caa12185085ef8a
--- /dev/null
+++ b/principle_A_case_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3a13d2ab24f231adbc9b3dda2fcd448883855199419db178a449c42eee1d097
+size 56430
diff --git a/principle_A_domain_1/train-00000-of-00001.parquet b/principle_A_domain_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..f0dd2238639046385bed1c2f78861e8e223d981a
--- /dev/null
+++ b/principle_A_domain_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5efcec2af824973d3eca500ee3591d444b5cc56569394c7bb1e0fb8a95efcd35
+size 59120
diff --git a/principle_A_domain_2/train-00000-of-00001.parquet b/principle_A_domain_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..b15940be8662972820e6ae5a2beb448cfd66199e
--- /dev/null
+++ b/principle_A_domain_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5de4982ab8ba2914d476335ba48956cc5c26e24c5ae0b64b8aed7ab06cf2903b
+size 58464
diff --git a/principle_A_domain_3/train-00000-of-00001.parquet b/principle_A_domain_3/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..7c2b784c0a4af531509ee5ab56a7ce0aca0e2f7a
--- /dev/null
+++ b/principle_A_domain_3/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:25227d39f6168b88f5b3ee0b35d0f6dd8105545016d76764d11c27f6031844d5
+size 52859
diff --git a/principle_A_reconstruction/train-00000-of-00001.parquet b/principle_A_reconstruction/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..0ff7259726da5894def22a87ac88f51996b1ccf8
--- /dev/null
+++ b/principle_A_reconstruction/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bd57fef2d8e907730bfdf9be1048bfaa75571b8a5c3481219b08254df544feb1
+size 44480
diff --git a/regular_plural_subject_verb_agreement_1/train-00000-of-00001.parquet b/regular_plural_subject_verb_agreement_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..304fbf5cbb8a5e43d1538668b35c4665ab5236d7
--- /dev/null
+++ b/regular_plural_subject_verb_agreement_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:602d82e663e7d8d73aad82eeb8b4f6d1f578dcf33121a54fd639e3f0d5196aeb
+size 49466
diff --git a/regular_plural_subject_verb_agreement_2/train-00000-of-00001.parquet b/regular_plural_subject_verb_agreement_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..6bc00381fab7b1e6f9da4a0dcb0cafbd98c9f71a
--- /dev/null
+++ b/regular_plural_subject_verb_agreement_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:47b11c839024e89b06eae89dc874c1f5c447b384dfadec7ed0f812e97e4ba5a3
+size 43365
diff --git a/sentential_negation_npi_licensor_present/train-00000-of-00001.parquet b/sentential_negation_npi_licensor_present/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..e2c2050fb1d472d8c39cf932d78dcb060bfd51f5
--- /dev/null
+++ b/sentential_negation_npi_licensor_present/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2f2e30c846249f580be81a8a1276db371351bae9bf7c569e59679169404608dc
+size 54830
diff --git a/sentential_negation_npi_scope/train-00000-of-00001.parquet b/sentential_negation_npi_scope/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..37f69ac9bf22e6ca41fcfdeaa36ed4790db3380e
--- /dev/null
+++ b/sentential_negation_npi_scope/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:06afb479723e7bff4071ca2f1511c1a78b8849331d09c608aa963fee057f8ac2
+size 90157
diff --git a/sentential_subject_island/train-00000-of-00001.parquet b/sentential_subject_island/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..e7f0b5177d82055c676ece1695ac14d57da60789
--- /dev/null
+++ b/sentential_subject_island/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a096e1ea8ff2e05ae00f0a52663f46598acc535ef108a7d3b2bbd73607b082f1
+size 56666
diff --git a/superlative_quantifiers_1/train-00000-of-00001.parquet b/superlative_quantifiers_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..36b3255255992db192972a2d714e93003d9b3e88
--- /dev/null
+++ b/superlative_quantifiers_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eba2e172058aaa24858464ab6e79455564e2e220d18863395897895ce8fcec4e
+size 48453
diff --git a/superlative_quantifiers_2/train-00000-of-00001.parquet b/superlative_quantifiers_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..98c1925a8f16218207f0225c31a210e9725618ea
--- /dev/null
+++ b/superlative_quantifiers_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76eadb284f7c21aefe83c8eff7cf43afb446d237efbfbcb74962311650e5ba5e
+size 50480
diff --git a/tough_vs_raising_1/train-00000-of-00001.parquet b/tough_vs_raising_1/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..9b069ebc2bf586744fb10f171c3078f4c841edf1
--- /dev/null
+++ b/tough_vs_raising_1/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:defbb5c0cb9b3d4b4b5f1571e64df8ba37428619bb4943d4d228ad5caf83f4d7
+size 44779
diff --git a/tough_vs_raising_2/train-00000-of-00001.parquet b/tough_vs_raising_2/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..9ff179ce9ca0b0578e5099bfdaa00ef813c77452
--- /dev/null
+++ b/tough_vs_raising_2/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:01d9c6a6b0df268db59ce28ef6904541df2c0755cb5915b2f1f5dbcf08c3d82a
+size 61465
diff --git a/transitive/train-00000-of-00001.parquet b/transitive/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..978da831ab529d51a9d6ad8b8e3cf74757fdc094
--- /dev/null
+++ b/transitive/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1c92b23164784bdb7b721a87969a883ce76fcb13b7b2e2240230f67800544432
+size 55090
diff --git a/wh_island/train-00000-of-00001.parquet b/wh_island/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..ba3c1755c751aa4b22b551583830341b9bc93f8b
--- /dev/null
+++ b/wh_island/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:63e455edde12fd76bca6e9287cb80920833b705ac656bc5ad105831b3327f219
+size 52808
diff --git a/wh_questions_object_gap/train-00000-of-00001.parquet b/wh_questions_object_gap/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..1e3b6aa26dc173e66c213f67bc95fba6dd67a354
--- /dev/null
+++ b/wh_questions_object_gap/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5107d0b8a4057d6f778a01253de18ee1de6c125b42ee6dc75111aeee43e20b41
+size 70049
diff --git a/wh_questions_subject_gap/train-00000-of-00001.parquet b/wh_questions_subject_gap/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..51d3d27493b4b4860dbf3f08c7cb1cc34d991613
--- /dev/null
+++ b/wh_questions_subject_gap/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a58be1f30174106b6934ca13a7d89716e380a8f2ccd051f6bc20e85ba19904a4
+size 71632
diff --git a/wh_questions_subject_gap_long_distance/train-00000-of-00001.parquet b/wh_questions_subject_gap_long_distance/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..8c540cc8e1d60f37d02dfc1bb872423e822b739c
--- /dev/null
+++ b/wh_questions_subject_gap_long_distance/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ca30473b9569b256cc7707d02668db436d097c810466c8cb60b1b7315ddb10e9
+size 98913
diff --git a/wh_vs_that_no_gap/train-00000-of-00001.parquet b/wh_vs_that_no_gap/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..bb4ff3faf5cb12f551983887f2e800cf220f902b
--- /dev/null
+++ b/wh_vs_that_no_gap/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:92fc7e67b32b10f6e94b6b4c094204c51bb1b622d48812d714e33f91b6603fe2
+size 71710
diff --git a/wh_vs_that_no_gap_long_distance/train-00000-of-00001.parquet b/wh_vs_that_no_gap_long_distance/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..b45c167aafab8a23c377d7d8162fba38d77b20b1
--- /dev/null
+++ b/wh_vs_that_no_gap_long_distance/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e1aa6fd1c7406b3bea5206e954b75f1dec7dd17c1019d526abe6005e715b38b3
+size 95504
diff --git a/wh_vs_that_with_gap/train-00000-of-00001.parquet b/wh_vs_that_with_gap/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..fcdb08c2d3e5ae79bed17520858ed73efdb267ed
--- /dev/null
+++ b/wh_vs_that_with_gap/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c905f68e44327d8a970a0341a4a023f4f70e402f382c0262f702cd5946b58c68
+size 60291
diff --git a/wh_vs_that_with_gap_long_distance/train-00000-of-00001.parquet b/wh_vs_that_with_gap_long_distance/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..9f3a26e999c1ce53e059ef7bd9d551c404ccf9eb
--- /dev/null
+++ b/wh_vs_that_with_gap_long_distance/train-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c2adf0cb1714de75ac960e59eeed74c0fada5babee2e0cd6c2721b90aa8ed829
+size 84147