diff --git a/README.md b/README.md
index 67b6c2b18ce2ffbe75a54586e68634ccf1db5799..e28b3f0da3cf0bbd1204776458fc2dddbb4ba6a6 100644
--- a/README.md
+++ b/README.md
@@ -25,7 +25,6 @@ license:
 - mit
 multilinguality:
 - multilingual
-pretty_name: X-CSR
 size_categories:
 - 1K<n<10K
 source_datasets:
@@ -35,13 +34,16 @@ task_categories:
 - question-answering
 task_ids:
 - multiple-choice-qa
+pretty_name: X-CSR
 dataset_info:
-- config_name: X-CSQA-en
+- config_name: X-CODAH-ar
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -56,19 +58,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 215919
-    num_examples: 1074
-  - name: validation
-    num_bytes: 205361
+    num_bytes: 568026
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 421280
-- config_name: X-CSQA-zh
+  - name: validation
+    num_bytes: 165022
+    num_examples: 300
+  download_size: 265474
+  dataset_size: 733048
+- config_name: X-CODAH-de
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -83,19 +87,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 197746
-    num_examples: 1074
-  - name: validation
-    num_bytes: 188555
+    num_bytes: 476087
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 386301
-- config_name: X-CSQA-de
+  - name: validation
+    num_bytes: 138764
+    num_examples: 300
+  download_size: 259705
+  dataset_size: 614851
+- config_name: X-CODAH-en
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -110,19 +116,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 234472
-    num_examples: 1074
-  - name: validation
-    num_bytes: 223122
+    num_bytes: 417000
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 457594
-- config_name: X-CSQA-es
+  - name: validation
+    num_bytes: 121811
+    num_examples: 300
+  download_size: 217262
+  dataset_size: 538811
+- config_name: X-CODAH-es
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -137,19 +145,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 237119
-    num_examples: 1074
-  - name: validation
-    num_bytes: 224779
+    num_bytes: 450954
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 461898
-- config_name: X-CSQA-fr
+  - name: validation
+    num_bytes: 130678
+    num_examples: 300
+  download_size: 242647
+  dataset_size: 581632
+- config_name: X-CODAH-fr
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -164,19 +174,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 244254
-    num_examples: 1074
-  - name: validation
-    num_bytes: 231678
+    num_bytes: 477525
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 475932
-- config_name: X-CSQA-it
+  - name: validation
+    num_bytes: 137889
+    num_examples: 300
+  download_size: 244998
+  dataset_size: 615414
+- config_name: X-CODAH-hi
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -191,19 +203,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 232906
-    num_examples: 1074
-  - name: validation
-    num_bytes: 221184
+    num_bytes: 973733
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 454090
-- config_name: X-CSQA-jap
+  - name: validation
+    num_bytes: 283004
+    num_examples: 300
+  download_size: 336862
+  dataset_size: 1256737
+- config_name: X-CODAH-it
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -218,19 +232,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 251148
-    num_examples: 1074
-  - name: validation
-    num_bytes: 240686
+    num_bytes: 457055
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 491834
-- config_name: X-CSQA-nl
+  - name: validation
+    num_bytes: 133504
+    num_examples: 300
+  download_size: 241780
+  dataset_size: 590559
+- config_name: X-CODAH-jap
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -245,19 +261,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 227251
-    num_examples: 1074
-  - name: validation
-    num_bytes: 216476
+    num_bytes: 538415
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 443727
-- config_name: X-CSQA-pl
+  - name: validation
+    num_bytes: 157392
+    num_examples: 300
+  download_size: 264995
+  dataset_size: 695807
+- config_name: X-CODAH-nl
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -272,19 +290,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 231781
-    num_examples: 1074
-  - name: validation
-    num_bytes: 220096
+    num_bytes: 448728
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 451877
-- config_name: X-CSQA-pt
+  - name: validation
+    num_bytes: 130018
+    num_examples: 300
+  download_size: 237855
+  dataset_size: 578746
+- config_name: X-CODAH-pl
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -299,19 +319,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 235771
-    num_examples: 1074
-  - name: validation
-    num_bytes: 223067
+    num_bytes: 438538
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 458838
-- config_name: X-CSQA-ru
+  - name: validation
+    num_bytes: 127750
+    num_examples: 300
+  download_size: 254894
+  dataset_size: 566288
+- config_name: X-CODAH-pt
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -326,19 +348,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 342051
-    num_examples: 1074
-  - name: validation
-    num_bytes: 324006
+    num_bytes: 455583
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 666057
-- config_name: X-CSQA-ar
+  - name: validation
+    num_bytes: 131933
+    num_examples: 300
+  download_size: 238858
+  dataset_size: 587516
+- config_name: X-CODAH-ru
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -353,19 +377,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 288947
-    num_examples: 1074
-  - name: validation
-    num_bytes: 273862
+    num_bytes: 674567
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 562809
-- config_name: X-CSQA-vi
+  - name: validation
+    num_bytes: 193713
+    num_examples: 300
+  download_size: 314200
+  dataset_size: 868280
+- config_name: X-CODAH-sw
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -380,19 +406,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 265512
-    num_examples: 1074
-  - name: validation
-    num_bytes: 253784
+    num_bytes: 423421
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 519296
-- config_name: X-CSQA-hi
+  - name: validation
+    num_bytes: 124770
+    num_examples: 300
+  download_size: 214100
+  dataset_size: 548191
+- config_name: X-CODAH-ur
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -407,19 +435,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 415313
-    num_examples: 1074
-  - name: validation
-    num_bytes: 396600
+    num_bytes: 687123
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 811913
-- config_name: X-CSQA-sw
+  - name: validation
+    num_bytes: 199737
+    num_examples: 300
+  download_size: 294475
+  dataset_size: 886860
+- config_name: X-CODAH-vi
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -434,19 +464,21 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 222517
-    num_examples: 1074
-  - name: validation
-    num_bytes: 211708
+    num_bytes: 543089
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 434225
-- config_name: X-CSQA-ur
+  - name: validation
+    num_bytes: 156888
+    num_examples: 300
+  download_size: 251390
+  dataset_size: 699977
+- config_name: X-CODAH-zh
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
+  - name: question_tag
+    dtype: string
   - name: question
     struct:
     - name: stem
@@ -461,21 +493,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 306431
-    num_examples: 1074
-  - name: validation
-    num_bytes: 292283
+    num_bytes: 394660
     num_examples: 1000
-  download_size: 7519903
-  dataset_size: 598714
-- config_name: X-CODAH-en
+  - name: validation
+    num_bytes: 115025
+    num_examples: 300
+  download_size: 237827
+  dataset_size: 509685
+- config_name: X-CSQA-ar
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -490,21 +520,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 417286
-    num_examples: 1000
+    num_bytes: 288645
+    num_examples: 1074
   - name: validation
-    num_bytes: 121923
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 539209
-- config_name: X-CODAH-zh
+    num_bytes: 273580
+    num_examples: 1000
+  download_size: 255626
+  dataset_size: 562225
+- config_name: X-CSQA-de
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -519,21 +547,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 394946
-    num_examples: 1000
+    num_bytes: 234170
+    num_examples: 1074
   - name: validation
-    num_bytes: 115137
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 510083
-- config_name: X-CODAH-de
+    num_bytes: 222840
+    num_examples: 1000
+  download_size: 242762
+  dataset_size: 457010
+- config_name: X-CSQA-en
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -548,21 +574,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 476373
-    num_examples: 1000
+    num_bytes: 215617
+    num_examples: 1074
   - name: validation
-    num_bytes: 138876
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 615249
-- config_name: X-CODAH-es
+    num_bytes: 205079
+    num_examples: 1000
+  download_size: 222677
+  dataset_size: 420696
+- config_name: X-CSQA-es
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -577,21 +601,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 451240
-    num_examples: 1000
+    num_bytes: 236817
+    num_examples: 1074
   - name: validation
-    num_bytes: 130790
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 582030
-- config_name: X-CODAH-fr
+    num_bytes: 224497
+    num_examples: 1000
+  download_size: 238810
+  dataset_size: 461314
+- config_name: X-CSQA-fr
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -606,21 +628,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 477811
-    num_examples: 1000
+    num_bytes: 243952
+    num_examples: 1074
   - name: validation
-    num_bytes: 138001
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 615812
-- config_name: X-CODAH-it
+    num_bytes: 231396
+    num_examples: 1000
+  download_size: 244676
+  dataset_size: 475348
+- config_name: X-CSQA-hi
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -635,21 +655,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 457341
-    num_examples: 1000
+    num_bytes: 415011
+    num_examples: 1074
   - name: validation
-    num_bytes: 133616
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 590957
-- config_name: X-CODAH-jap
+    num_bytes: 396318
+    num_examples: 1000
+  download_size: 304090
+  dataset_size: 811329
+- config_name: X-CSQA-it
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -664,21 +682,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 538701
-    num_examples: 1000
+    num_bytes: 232604
+    num_examples: 1074
   - name: validation
-    num_bytes: 157504
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 696205
-- config_name: X-CODAH-nl
+    num_bytes: 220902
+    num_examples: 1000
+  download_size: 236130
+  dataset_size: 453506
+- config_name: X-CSQA-jap
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -693,21 +709,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 449014
-    num_examples: 1000
+    num_bytes: 250846
+    num_examples: 1074
   - name: validation
-    num_bytes: 130130
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 579144
-- config_name: X-CODAH-pl
+    num_bytes: 240404
+    num_examples: 1000
+  download_size: 249420
+  dataset_size: 491250
+- config_name: X-CSQA-nl
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -722,21 +736,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 438824
-    num_examples: 1000
+    num_bytes: 226949
+    num_examples: 1074
   - name: validation
-    num_bytes: 127862
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 566686
-- config_name: X-CODAH-pt
+    num_bytes: 216194
+    num_examples: 1000
+  download_size: 231078
+  dataset_size: 443143
+- config_name: X-CSQA-pl
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -751,21 +763,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 455869
-    num_examples: 1000
+    num_bytes: 231479
+    num_examples: 1074
   - name: validation
-    num_bytes: 132045
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 587914
-- config_name: X-CODAH-ru
+    num_bytes: 219814
+    num_examples: 1000
+  download_size: 245829
+  dataset_size: 451293
+- config_name: X-CSQA-pt
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -780,21 +790,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 674853
-    num_examples: 1000
+    num_bytes: 235469
+    num_examples: 1074
   - name: validation
-    num_bytes: 193825
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 868678
-- config_name: X-CODAH-ar
+    num_bytes: 222785
+    num_examples: 1000
+  download_size: 238902
+  dataset_size: 458254
+- config_name: X-CSQA-ru
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -809,21 +817,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 568312
-    num_examples: 1000
+    num_bytes: 341749
+    num_examples: 1074
   - name: validation
-    num_bytes: 165134
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 733446
-- config_name: X-CODAH-vi
+    num_bytes: 323724
+    num_examples: 1000
+  download_size: 296252
+  dataset_size: 665473
+- config_name: X-CSQA-sw
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -838,21 +844,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 543375
-    num_examples: 1000
+    num_bytes: 222215
+    num_examples: 1074
   - name: validation
-    num_bytes: 157000
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 700375
-- config_name: X-CODAH-hi
+    num_bytes: 211426
+    num_examples: 1000
+  download_size: 214954
+  dataset_size: 433641
+- config_name: X-CSQA-ur
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -867,21 +871,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 974019
-    num_examples: 1000
+    num_bytes: 306129
+    num_examples: 1074
   - name: validation
-    num_bytes: 283116
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 1257135
-- config_name: X-CODAH-sw
+    num_bytes: 292001
+    num_examples: 1000
+  download_size: 267789
+  dataset_size: 598130
+- config_name: X-CSQA-vi
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -896,21 +898,19 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 423707
-    num_examples: 1000
+    num_bytes: 265210
+    num_examples: 1074
   - name: validation
-    num_bytes: 124882
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 548589
-- config_name: X-CODAH-ur
+    num_bytes: 253502
+    num_examples: 1000
+  download_size: 244641
+  dataset_size: 518712
+- config_name: X-CSQA-zh
   features:
   - name: id
     dtype: string
   - name: lang
     dtype: string
-  - name: question_tag
-    dtype: string
   - name: question
     struct:
     - name: stem
@@ -925,13 +925,206 @@ dataset_info:
     dtype: string
   splits:
   - name: test
-    num_bytes: 687409
-    num_examples: 1000
+    num_bytes: 197444
+    num_examples: 1074
   - name: validation
-    num_bytes: 199849
-    num_examples: 300
-  download_size: 7519903
-  dataset_size: 887258
+    num_bytes: 188273
+    num_examples: 1000
+  download_size: 207379
+  dataset_size: 385717
+configs:
+- config_name: X-CODAH-ar
+  data_files:
+  - split: test
+    path: X-CODAH-ar/test-*
+  - split: validation
+    path: X-CODAH-ar/validation-*
+- config_name: X-CODAH-de
+  data_files:
+  - split: test
+    path: X-CODAH-de/test-*
+  - split: validation
+    path: X-CODAH-de/validation-*
+- config_name: X-CODAH-en
+  data_files:
+  - split: test
+    path: X-CODAH-en/test-*
+  - split: validation
+    path: X-CODAH-en/validation-*
+- config_name: X-CODAH-es
+  data_files:
+  - split: test
+    path: X-CODAH-es/test-*
+  - split: validation
+    path: X-CODAH-es/validation-*
+- config_name: X-CODAH-fr
+  data_files:
+  - split: test
+    path: X-CODAH-fr/test-*
+  - split: validation
+    path: X-CODAH-fr/validation-*
+- config_name: X-CODAH-hi
+  data_files:
+  - split: test
+    path: X-CODAH-hi/test-*
+  - split: validation
+    path: X-CODAH-hi/validation-*
+- config_name: X-CODAH-it
+  data_files:
+  - split: test
+    path: X-CODAH-it/test-*
+  - split: validation
+    path: X-CODAH-it/validation-*
+- config_name: X-CODAH-jap
+  data_files:
+  - split: test
+    path: X-CODAH-jap/test-*
+  - split: validation
+    path: X-CODAH-jap/validation-*
+- config_name: X-CODAH-nl
+  data_files:
+  - split: test
+    path: X-CODAH-nl/test-*
+  - split: validation
+    path: X-CODAH-nl/validation-*
+- config_name: X-CODAH-pl
+  data_files:
+  - split: test
+    path: X-CODAH-pl/test-*
+  - split: validation
+    path: X-CODAH-pl/validation-*
+- config_name: X-CODAH-pt
+  data_files:
+  - split: test
+    path: X-CODAH-pt/test-*
+  - split: validation
+    path: X-CODAH-pt/validation-*
+- config_name: X-CODAH-ru
+  data_files:
+  - split: test
+    path: X-CODAH-ru/test-*
+  - split: validation
+    path: X-CODAH-ru/validation-*
+- config_name: X-CODAH-sw
+  data_files:
+  - split: test
+    path: X-CODAH-sw/test-*
+  - split: validation
+    path: X-CODAH-sw/validation-*
+- config_name: X-CODAH-ur
+  data_files:
+  - split: test
+    path: X-CODAH-ur/test-*
+  - split: validation
+    path: X-CODAH-ur/validation-*
+- config_name: X-CODAH-vi
+  data_files:
+  - split: test
+    path: X-CODAH-vi/test-*
+  - split: validation
+    path: X-CODAH-vi/validation-*
+- config_name: X-CODAH-zh
+  data_files:
+  - split: test
+    path: X-CODAH-zh/test-*
+  - split: validation
+    path: X-CODAH-zh/validation-*
+- config_name: X-CSQA-ar
+  data_files:
+  - split: test
+    path: X-CSQA-ar/test-*
+  - split: validation
+    path: X-CSQA-ar/validation-*
+- config_name: X-CSQA-de
+  data_files:
+  - split: test
+    path: X-CSQA-de/test-*
+  - split: validation
+    path: X-CSQA-de/validation-*
+- config_name: X-CSQA-en
+  data_files:
+  - split: test
+    path: X-CSQA-en/test-*
+  - split: validation
+    path: X-CSQA-en/validation-*
+- config_name: X-CSQA-es
+  data_files:
+  - split: test
+    path: X-CSQA-es/test-*
+  - split: validation
+    path: X-CSQA-es/validation-*
+- config_name: X-CSQA-fr
+  data_files:
+  - split: test
+    path: X-CSQA-fr/test-*
+  - split: validation
+    path: X-CSQA-fr/validation-*
+- config_name: X-CSQA-hi
+  data_files:
+  - split: test
+    path: X-CSQA-hi/test-*
+  - split: validation
+    path: X-CSQA-hi/validation-*
+- config_name: X-CSQA-it
+  data_files:
+  - split: test
+    path: X-CSQA-it/test-*
+  - split: validation
+    path: X-CSQA-it/validation-*
+- config_name: X-CSQA-jap
+  data_files:
+  - split: test
+    path: X-CSQA-jap/test-*
+  - split: validation
+    path: X-CSQA-jap/validation-*
+- config_name: X-CSQA-nl
+  data_files:
+  - split: test
+    path: X-CSQA-nl/test-*
+  - split: validation
+    path: X-CSQA-nl/validation-*
+- config_name: X-CSQA-pl
+  data_files:
+  - split: test
+    path: X-CSQA-pl/test-*
+  - split: validation
+    path: X-CSQA-pl/validation-*
+- config_name: X-CSQA-pt
+  data_files:
+  - split: test
+    path: X-CSQA-pt/test-*
+  - split: validation
+    path: X-CSQA-pt/validation-*
+- config_name: X-CSQA-ru
+  data_files:
+  - split: test
+    path: X-CSQA-ru/test-*
+  - split: validation
+    path: X-CSQA-ru/validation-*
+- config_name: X-CSQA-sw
+  data_files:
+  - split: test
+    path: X-CSQA-sw/test-*
+  - split: validation
+    path: X-CSQA-sw/validation-*
+- config_name: X-CSQA-ur
+  data_files:
+  - split: test
+    path: X-CSQA-ur/test-*
+  - split: validation
+    path: X-CSQA-ur/validation-*
+- config_name: X-CSQA-vi
+  data_files:
+  - split: test
+    path: X-CSQA-vi/test-*
+  - split: validation
+    path: X-CSQA-vi/validation-*
+- config_name: X-CSQA-zh
+  data_files:
+  - split: test
+    path: X-CSQA-zh/test-*
+  - split: validation
+    path: X-CSQA-zh/validation-*
 ---
 
 # Dataset Card for X-CSR
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+version https://git-lfs.github.com/spec/v1
+oid sha256:14198a2c6b38c3daea1d7f8db193687f350a111052eae6ea487491682a54be86
+size 203161
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+oid sha256:6106a27017ced317c4251a4107767ba12e69ed449577d21e0af81de2823eb211
+size 62313
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+oid sha256:87609acbd0051832bf24020a91c2da6d6ebdcded7027d59707a852e0d04c2bd3
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-{"X-CSQA-en": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-en", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 215919, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 205361, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 421280, "size_in_bytes": 7941183}, "X-CSQA-zh": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-zh", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 197746, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 188555, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 386301, "size_in_bytes": 7906204}, "X-CSQA-de": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-de", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 234472, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 223122, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 457594, "size_in_bytes": 7977497}, "X-CSQA-es": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-es", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 237119, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 224779, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 461898, "size_in_bytes": 7981801}, "X-CSQA-fr": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-fr", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 244254, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 231678, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 475932, "size_in_bytes": 7995835}, "X-CSQA-it": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-it", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 232906, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 221184, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 454090, "size_in_bytes": 7973993}, "X-CSQA-jap": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-jap", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 251148, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 240686, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 491834, "size_in_bytes": 8011737}, "X-CSQA-nl": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-nl", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 227251, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 216476, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 443727, "size_in_bytes": 7963630}, "X-CSQA-pl": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-pl", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 231781, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 220096, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 451877, "size_in_bytes": 7971780}, "X-CSQA-pt": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-pt", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 235771, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 223067, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 458838, "size_in_bytes": 7978741}, "X-CSQA-ru": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-ru", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 342051, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 324006, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 666057, "size_in_bytes": 8185960}, "X-CSQA-ar": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-ar", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 288947, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 273862, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 562809, "size_in_bytes": 8082712}, "X-CSQA-vi": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-vi", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 265512, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 253784, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 519296, "size_in_bytes": 8039199}, "X-CSQA-hi": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-hi", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 415313, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 396600, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 811913, "size_in_bytes": 8331816}, "X-CSQA-sw": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-sw", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 222517, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 211708, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 434225, "size_in_bytes": 7954128}, "X-CSQA-ur": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CSQA-ur", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 306431, "num_examples": 1074, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 292283, "num_examples": 1000, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 598714, "size_in_bytes": 8118617}, "X-CODAH-en": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-en", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 417286, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 121923, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 539209, "size_in_bytes": 8059112}, "X-CODAH-zh": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-zh", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 394946, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 115137, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 510083, "size_in_bytes": 8029986}, "X-CODAH-de": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-de", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 476373, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 138876, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 615249, "size_in_bytes": 8135152}, "X-CODAH-es": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-es", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 451240, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 130790, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 582030, "size_in_bytes": 8101933}, "X-CODAH-fr": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-fr", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 477811, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 138001, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 615812, "size_in_bytes": 8135715}, "X-CODAH-it": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-it", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 457341, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 133616, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 590957, "size_in_bytes": 8110860}, "X-CODAH-jap": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-jap", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 538701, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 157504, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 696205, "size_in_bytes": 8216108}, "X-CODAH-nl": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-nl", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 449014, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 130130, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 579144, "size_in_bytes": 8099047}, "X-CODAH-pl": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-pl", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 438824, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 127862, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 566686, "size_in_bytes": 8086589}, "X-CODAH-pt": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-pt", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 455869, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 132045, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 587914, "size_in_bytes": 8107817}, "X-CODAH-ru": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-ru", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 674853, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 193825, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 868678, "size_in_bytes": 8388581}, "X-CODAH-ar": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-ar", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 568312, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 165134, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 733446, "size_in_bytes": 8253349}, "X-CODAH-vi": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-vi", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 543375, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 157000, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 700375, "size_in_bytes": 8220278}, "X-CODAH-hi": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-hi", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 974019, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 283116, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 1257135, "size_in_bytes": 8777038}, "X-CODAH-sw": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-sw", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 423707, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 124882, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 548589, "size_in_bytes": 8068492}, "X-CODAH-ur": {"description": "To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.\n", "citation": "# X-CSR\n@inproceedings{lin-etal-2021-common,\n    title = \"Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning\",\n    author = \"Lin, Bill Yuchen  and\n      Lee, Seyeon  and\n      Qiao, Xiaoyang  and\n      Ren, Xiang\",\n    booktitle = \"Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)\",\n    month = aug,\n    year = \"2021\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.acl-long.102\",\n    doi = \"10.18653/v1/2021.acl-long.102\",\n    pages = \"1274--1287\",\n}\n\n# CSQA\n@inproceedings{Talmor2019commonsenseqaaq,\n    address = {Minneapolis, Minnesota},\n    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},\n    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},\n    doi = {10.18653/v1/N19-1421},\n    pages = {4149--4158},\n    publisher = {Association for Computational Linguistics},\n    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},\n    url = {https://www.aclweb.org/anthology/N19-1421},\n    year = {2019}\n}\n\n# CODAH\n@inproceedings{Chen2019CODAHAA,\n    address = {Minneapolis, USA},\n    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},\n    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},\n    doi = {10.18653/v1/W19-2008},\n    pages = {63--69},\n    publisher = {Association for Computational Linguistics},\n    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},\n    url = {https://www.aclweb.org/anthology/W19-2008},\n    year = {2019}\n}\n", "homepage": "https://inklab.usc.edu//XCSR/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "lang": {"dtype": "string", "id": null, "_type": "Value"}, "question_tag": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"stem": {"dtype": "string", "id": null, "_type": "Value"}, "choices": {"feature": {"label": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "length": -1, "id": null, "_type": "Sequence"}}, "answerKey": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "xcsr", "config_name": "X-CODAH-ur", "version": {"version_str": "1.1.0", "description": "", "major": 1, "minor": 1, "patch": 0}, "splits": {"test": {"name": "test", "num_bytes": 687409, "num_examples": 1000, "dataset_name": "xcsr"}, "validation": {"name": "validation", "num_bytes": 199849, "num_examples": 300, "dataset_name": "xcsr"}}, "download_checksums": {"https://inklab.usc.edu/XCSR/xcsr_datasets.zip": {"num_bytes": 7519903, "checksum": "c45b29ece740643252d5402e76be1e33f96f9d6910053f79e80d39887f10c85e"}}, "download_size": 7519903, "post_processing_size": null, "dataset_size": 887258, "size_in_bytes": 8407161}}
\ No newline at end of file
diff --git a/xcsr.py b/xcsr.py
deleted file mode 100644
index 90a7bc0ae549d36e8ee5570c938f37f0a3071549..0000000000000000000000000000000000000000
--- a/xcsr.py
+++ /dev/null
@@ -1,192 +0,0 @@
-# coding=utf-8
-# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
-#
-# 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.
-"""XCSR: A dataset for cross-lingual commonsense reasoning."""
-
-
-import json
-import os
-
-import datasets
-
-
-_CITATION = """\
-# X-CSR
-@inproceedings{lin-etal-2021-common,
-    title = "Common Sense Beyond {E}nglish: Evaluating and Improving Multilingual Language Models for Commonsense Reasoning",
-    author = "Lin, Bill Yuchen  and
-      Lee, Seyeon  and
-      Qiao, Xiaoyang  and
-      Ren, Xiang",
-    booktitle = "Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
-    month = aug,
-    year = "2021",
-    address = "Online",
-    publisher = "Association for Computational Linguistics",
-    url = "https://aclanthology.org/2021.acl-long.102",
-    doi = "10.18653/v1/2021.acl-long.102",
-    pages = "1274--1287",
-}
-
-# CSQA
-@inproceedings{Talmor2019commonsenseqaaq,
-    address = {Minneapolis, Minnesota},
-    author = {Talmor, Alon  and Herzig, Jonathan  and Lourie, Nicholas and Berant, Jonathan},
-    booktitle = {Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
-    doi = {10.18653/v1/N19-1421},
-    pages = {4149--4158},
-    publisher = {Association for Computational Linguistics},
-    title = {CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge},
-    url = {https://www.aclweb.org/anthology/N19-1421},
-    year = {2019}
-}
-
-# CODAH
-@inproceedings{Chen2019CODAHAA,
-    address = {Minneapolis, USA},
-    author = {Chen, Michael  and D{'}Arcy, Mike  and Liu, Alisa  and Fernandez, Jared  and Downey, Doug},
-    booktitle = {Proceedings of the 3rd Workshop on Evaluating Vector Space Representations for {NLP}},
-    doi = {10.18653/v1/W19-2008},
-    pages = {63--69},
-    publisher = {Association for Computational Linguistics},
-    title = {CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense},
-    url = {https://www.aclweb.org/anthology/W19-2008},
-    year = {2019}
-}
-"""
-
-_DESCRIPTION = """\
-To evaluate multi-lingual language models (ML-LMs) for commonsense reasoning in a cross-lingual zero-shot transfer setting (X-CSR), i.e., training in English and test in other languages, we create two benchmark datasets, namely X-CSQA and X-CODAH. Specifically, we automatically translate the original CSQA and CODAH datasets, which only have English versions, to 15 other languages, forming development and test sets for studying X-CSR. As our goal is to evaluate different ML-LMs in a unified evaluation protocol for X-CSR, we argue that such translated examples, although might contain noise, can serve as a starting benchmark for us to obtain meaningful analysis, before more human-translated datasets will be available in the future.
-"""
-
-_HOMEPAGE = "https://inklab.usc.edu//XCSR/"
-
-# TODO: Add the licence for the dataset here if you can find it
-# _LICENSE = ""
-
-# The HuggingFace dataset library don't host the datasets but only point to the original files
-# This can be an arbitrary nested dict/list of URLs (see below in `_split_generators` method)
-
-_URL = "https://inklab.usc.edu/XCSR/xcsr_datasets.zip"
-
-_LANGUAGES = ("en", "zh", "de", "es", "fr", "it", "jap", "nl", "pl", "pt", "ru", "ar", "vi", "hi", "sw", "ur")
-
-
-class XcsrConfig(datasets.BuilderConfig):
-    """BuilderConfig for XCSR."""
-
-    def __init__(self, subset: str, language: str, **kwargs):
-        """BuilderConfig for XCSR.
-        Args:
-        language: One of {en, zh, de, es, fr, it, jap, nl, pl, pt, ru, ar, vi, hi, sw, ur}, or all_languages
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super().__init__(name=f"{subset}-{language}", **kwargs)
-        self.subset = subset
-        self.language = language
-
-
-class Xcsr(datasets.GeneratorBasedBuilder):
-    """XCSR: A dataset for evaluating multi-lingual language models (ML-LMs) for commonsense reasoning in a
-    cross-lingual zero-shot transfer setting"""
-
-    BUILDER_CONFIG_CLASS = XcsrConfig
-    BUILDER_CONFIGS = [
-        XcsrConfig(
-            subset="X-CSQA",
-            language=lang,
-            version=datasets.Version("1.1.0", ""),
-            description=f"Plain text import of X-CSQA for the {lang} language",
-        )
-        for lang in _LANGUAGES
-    ] + [
-        XcsrConfig(
-            subset="X-CODAH",
-            language=lang,
-            version=datasets.Version("1.1.0", ""),
-            description=f"Plain text import of X-CODAH for the {lang} language",
-        )
-        for lang in _LANGUAGES
-    ]
-
-    def _info(self):
-        if self.config.subset == "X-CSQA":
-            features = datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "lang": datasets.Value("string"),
-                    "question": {
-                        "stem": datasets.Value("string"),
-                        "choices": datasets.features.Sequence(
-                            {
-                                "label": datasets.Value("string"),
-                                "text": datasets.Value("string"),
-                            }
-                        ),
-                    },
-                    "answerKey": datasets.Value("string"),
-                }
-            )
-        elif self.config.subset == "X-CODAH":
-            features = datasets.Features(
-                {
-                    "id": datasets.Value("string"),
-                    "lang": datasets.Value("string"),
-                    "question_tag": datasets.Value("string"),
-                    "question": {
-                        "stem": datasets.Value("string"),
-                        "choices": datasets.features.Sequence(
-                            {
-                                "label": datasets.Value("string"),
-                                "text": datasets.Value("string"),
-                            }
-                        ),
-                    },
-                    "answerKey": datasets.Value("string"),
-                }
-            )
-
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            homepage=_HOMEPAGE,
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        """Returns SplitGenerators."""
-        data_dir = dl_manager.download_and_extract(_URL)
-        filepath = os.path.join(data_dir, "X-CSR_datasets", self.config.subset, self.config.language, "{split}.jsonl")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={
-                    "filepath": filepath.format(split="test"),
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={
-                    "filepath": filepath.format(split="dev"),
-                },
-            ),
-        ]
-
-    def _generate_examples(self, filepath):
-        """Yields examples as (key, example) tuples."""
-        with open(filepath, encoding="utf-8") as f:
-            for key, row in enumerate(f):
-                data = json.loads(row)
-                _ = data.setdefault("answerKey", "")
-                yield key, data