Convert dataset to Parquet (#4)

- Convert dataset to Parquet (560ab379aa5df09811fea714aa956e0f3f86d318)
- Add anaphor_gender_agreement data files (9ab0b0cc35cb720d88e8af3c23c80f7e67737b39)
- Add anaphor_number_agreement data files (470154ad3a30b8c743fad2f9148033020ea1132e)
- Add animate_subject_passive data files (9b393c41d30f43296a74c02d1f4a97e37c29aeac)
- Add animate_subject_trans data files (b41803bfdc3df9224f0d81029ded9f8379eb5787)
- Add causative data files (c9bb307f2c569f2f88f9b2be8525f5fd7af07c8d)
- Add complex_NP_island data files (81398c83cb1840382624965f515c7513cae3ebe7)
- Add coordinate_structure_constraint_complex_left_branch data files (c353d7f73af7b2347864f9b9d74b35c2dfc07b97)
- Add coordinate_structure_constraint_object_extraction data files (d22e0d9d823c64f027c4086e5a21210cc4aae422)
- Add determiner_noun_agreement_1 data files (53616aeaf75c51c1827f8a6c48dbc313c27807f2)
- Add determiner_noun_agreement_2 data files (9230f7340cbb402ff5c8a9b63124e89ad780d3dc)
- Add determiner_noun_agreement_irregular_1 data files (0127ff0734330ded37e1a2cb7f14c939b6e3e43e)
- Add determiner_noun_agreement_irregular_2 data files (3609617d80c2f21700a68cbf4645f6058b9da879)
- Add determiner_noun_agreement_with_adj_2 data files (1dde59d9b70f6751a3bbafd99817e3d26169e581)
- Add determiner_noun_agreement_with_adj_irregular_1 data files (64291279e3dfddcd6b7109ea9d410ce2da405ee6)
- Add determiner_noun_agreement_with_adj_irregular_2 data files (d1184bd830473381b9f6b74243a5be44be961ce3)
- Add determiner_noun_agreement_with_adjective_1 data files (ae57a3f06229ed0e6f554e1481dead0d859ba9b4)
- Add distractor_agreement_relational_noun data files (6efc8be42e3c9e53e2776476065adeabefd4cef1)
- Add distractor_agreement_relative_clause data files (45df30d59629a29a5db3f9cea46912ac21e311fb)
- Add drop_argument data files (1def05b599823a873250e6c45d5b6b46220beb3a)
- Add ellipsis_n_bar_1 data files (62b5a85f8ec9bc67cb60bd0e19a0dbb78b1bdbb2)
- Add ellipsis_n_bar_2 data files (a96b0d31dd38835c4510318befc79b826f86bcec)
- Add existential_there_object_raising data files (a251304c6c1a9c800821a2e0c60e797a3a97f71e)
- Add existential_there_quantifiers_1 data files (fe0d7fd936c8ee88a4ae9378d405d6237a575d24)
- Add existential_there_quantifiers_2 data files (0e01f2906c7a2b5c512340b4f4ad49739671ac27)
- Add existential_there_subject_raising data files (cf7cd1c0e8200a02ff3857ae703a442d84680e6e)
- Add expletive_it_object_raising data files (02f46912e671be2e8960cfddad3e6b56334e1b90)
- Add inchoative data files (5fbab7c5dde8b60f39b5f33d3f7dea60270cdc1a)
- Add intransitive data files (8100372593eafcd755991fc20d0f85984f26f09a)
- Add irregular_past_participle_adjectives data files (2f4cf807855b578d6099903c0b666871e64e2a07)
- Add irregular_past_participle_verbs data files (e2311bd2f033c8650415e3ea8025187f019d9632)
- Add irregular_plural_subject_verb_agreement_1 data files (bb279c084022060e8efc3831dc6d0eb7e9978595)
- Add irregular_plural_subject_verb_agreement_2 data files (a87ac8fafd9feb7e4319ad9e5c4cdae87b7c2b7f)
- Add left_branch_island_echo_question data files (de2b7e782fda011b64e88e6128980f282cdc7ca9)
- Add left_branch_island_simple_question data files (ff8e6b7020f40affa63a9d3359f2b0ec1b8fc3b2)
- Add matrix_question_npi_licensor_present data files (b665065a4992b0ea4e97e660b7fc32bb7d859fca)
- Add npi_present_1 data files (055bdd3c6496016f3d819f7c1800dea2930a887a)
- Add npi_present_2 data files (5c4d1d5e86ae59db930d1a952a7a1536b30cf276)
- Add only_npi_licensor_present data files (80a1d5e554d289473552932577e77bf5702d5294)
- Add only_npi_scope data files (9260d51ec7a173b1ee21df82d8a91bc2911404f7)
- Add passive_1 data files (d7a192bb6cffc868cf78fcd5e7d78a5c9dd99d9e)
- Add passive_2 data files (d458d7f8de588a51281a9d91b68b94b801bed1ce)
- Add principle_A_c_command data files (6d579cbcd2c0e3c8c97d2da2e361d86697450665)
- Add principle_A_case_1 data files (d2b1da73b5ca46170145fc1c98308923d733df9c)
- Add principle_A_case_2 data files (c469a80f9d2f1ac16a45fca2890918172ad5694a)
- Add principle_A_domain_1 data files (6d9e4a972ad3c632b7470f6e132a07af2cc800f2)
- Add principle_A_domain_2 data files (05957185dcee0ea2bbeaf1ca2e3a8351f5747447)
- Add principle_A_domain_3 data files (094ce12b95ff41b1f9430644786685a07cf731de)
- Add principle_A_reconstruction data files (c43d022965988564001a9d02da259f927ab26d39)
- Add regular_plural_subject_verb_agreement_1 data files (d3288c1d3fa10a0917e2868db2a334d01f2e3027)
- Add regular_plural_subject_verb_agreement_2 data files (6b22e831aab7b61fdb6689bffbc3f5f39a654af5)
- Add sentential_negation_npi_licensor_present data files (6242f1117dd3e683a3ddc880f4b728596eec39bf)
- Add sentential_negation_npi_scope data files (2034afe9b93c3a9537f4c4e0ed51e77f3d28e67c)
- Add sentential_subject_island data files (3945f548bbc32fbd6cdc51e8d863b6c4f1ed2ebe)
- Add superlative_quantifiers_1 data files (d6fa888c97f0d43db36a45019ef154b9ba771952)
- Add superlative_quantifiers_2 data files (fca9ef9aa9c3b2d14b27043f5fffd5f210feeba3)
- Add tough_vs_raising_1 data files (e7a8756ec1195e633e6ca77321e64acd44e54a58)
- Add tough_vs_raising_2 data files (68f498c98416c6ced9ce3d6466129da1178bed51)
- Add transitive data files (22b5a888045b778fe8bd6ef3362fa9a1e320653f)
- Add wh_island data files (514ec2bdf96073489a1fe9358db2e79c2bd472e8)
- Add wh_questions_object_gap data files (acf1a13b89ffedce216b753e45a1203c7b78e51c)
- Add wh_questions_subject_gap data files (5b76995bb33d2759cc4a010381e4c84c624abe2f)
- Add wh_questions_subject_gap_long_distance data files (9a8f4003e46678d0e92e7b38bb9873ff1184fcc8)
- Add wh_vs_that_no_gap data files (33491b025d44ca6175fa765540617df3e07fe499)
- Add wh_vs_that_no_gap_long_distance data files (044d155823934b57b42c6c4cfad2c76559ad26e9)
- Add wh_vs_that_with_gap data files (90132a83ef30ceb55770b44e6ccdd2f4dc9f04ec)
- Add wh_vs_that_with_gap_long_distance data files (e023ea529451e164fa7ad8e61c1db260cf7bb1b1)
- Delete loading script (505f37c557e9b7435094519fa6a1cfa4c002d5e5)
- Delete legacy dataset_infos.json (f81ed2c5fa6dfee7daca35829dc1c2a844300119)

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"

adjunct_island/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:094b1a6c4d8e88d2a193d25b6a8eaf6dc746158c14eec537802dd2b67f57847b
+size 62231

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

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

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

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

blimp.py

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

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