diff --git a/README.md b/README.md
index be5f6c9cf9d80a26f35d0131003b6bf4393bb3c4..46e05bafd065a727257a04d86ccd2ef3557f8753 100644
--- a/README.md
+++ b/README.md
@@ -18,6 +18,66 @@ language:
 paperswithcode_id: xnli
 pretty_name: Cross-lingual Natural Language Inference
 dataset_info:
+- config_name: all_languages
+  features:
+  - name: premise
+    dtype:
+      translation:
+        languages:
+        - ar
+        - bg
+        - de
+        - el
+        - en
+        - es
+        - fr
+        - hi
+        - ru
+        - sw
+        - th
+        - tr
+        - ur
+        - vi
+        - zh
+  - name: hypothesis
+    dtype:
+      translation_variable_languages:
+        languages:
+        - ar
+        - bg
+        - de
+        - el
+        - en
+        - es
+        - fr
+        - hi
+        - ru
+        - sw
+        - th
+        - tr
+        - ur
+        - vi
+        - zh
+        num_languages: 15
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  splits:
+  - name: train
+    num_bytes: 1581471691
+    num_examples: 392702
+  - name: test
+    num_bytes: 19387432
+    num_examples: 5010
+  - name: validation
+    num_bytes: 9566179
+    num_examples: 2490
+  download_size: 963942271
+  dataset_size: 1610425302
 - config_name: ar
   features:
   - name: premise
@@ -33,16 +93,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 107399934
+    num_bytes: 107399614
     num_examples: 392702
   - name: test
-    num_bytes: 1294561
+    num_bytes: 1294553
     num_examples: 5010
   - name: validation
-    num_bytes: 633009
+    num_bytes: 633001
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 109327504
+  download_size: 59215902
+  dataset_size: 109327168
 - config_name: bg
   features:
   - name: premise
@@ -58,16 +118,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 125973545
+    num_bytes: 125973225
     num_examples: 392702
   - name: test
-    num_bytes: 1573042
+    num_bytes: 1573034
     num_examples: 5010
   - name: validation
-    num_bytes: 774069
+    num_bytes: 774061
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 128320656
+  download_size: 66117878
+  dataset_size: 128320320
 - config_name: de
   features:
   - name: premise
@@ -83,16 +143,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 84684460
+    num_bytes: 84684140
     num_examples: 392702
   - name: test
-    num_bytes: 996496
+    num_bytes: 996488
     num_examples: 5010
   - name: validation
-    num_bytes: 494612
+    num_bytes: 494604
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 86175568
+  download_size: 55973883
+  dataset_size: 86175232
 - config_name: el
   features:
   - name: premise
@@ -108,16 +168,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 139753678
+    num_bytes: 139753358
     num_examples: 392702
   - name: test
-    num_bytes: 1704793
+    num_bytes: 1704785
     num_examples: 5010
   - name: validation
-    num_bytes: 841234
+    num_bytes: 841226
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 142299705
+  download_size: 74551247
+  dataset_size: 142299369
 - config_name: en
   features:
   - name: premise
@@ -133,16 +193,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 74444346
+    num_bytes: 74444026
     num_examples: 392702
   - name: test
-    num_bytes: 875142
+    num_bytes: 875134
     num_examples: 5010
   - name: validation
-    num_bytes: 433471
+    num_bytes: 433463
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 75752959
+  download_size: 50627367
+  dataset_size: 75752623
 - config_name: es
   features:
   - name: premise
@@ -158,16 +218,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 81383604
+    num_bytes: 81383284
     num_examples: 392702
   - name: test
-    num_bytes: 969821
+    num_bytes: 969813
     num_examples: 5010
   - name: validation
-    num_bytes: 478430
+    num_bytes: 478422
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 82831855
+  download_size: 53677157
+  dataset_size: 82831519
 - config_name: fr
   features:
   - name: premise
@@ -183,16 +243,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 85809099
+    num_bytes: 85808779
     num_examples: 392702
   - name: test
-    num_bytes: 1029247
+    num_bytes: 1029239
     num_examples: 5010
   - name: validation
-    num_bytes: 510112
+    num_bytes: 510104
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 87348458
+  download_size: 55968680
+  dataset_size: 87348122
 - config_name: hi
   features:
   - name: premise
@@ -208,16 +268,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 170594284
+    num_bytes: 170593964
     num_examples: 392702
   - name: test
-    num_bytes: 2073081
+    num_bytes: 2073073
     num_examples: 5010
   - name: validation
-    num_bytes: 1023923
+    num_bytes: 1023915
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 173691288
+  download_size: 70908548
+  dataset_size: 173690952
 - config_name: ru
   features:
   - name: premise
@@ -233,16 +293,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 129859935
+    num_bytes: 129859615
     num_examples: 392702
   - name: test
-    num_bytes: 1603474
+    num_bytes: 1603466
     num_examples: 5010
   - name: validation
-    num_bytes: 786450
+    num_bytes: 786442
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 132249859
+  download_size: 70702606
+  dataset_size: 132249523
 - config_name: sw
   features:
   - name: premise
@@ -258,16 +318,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 69286045
+    num_bytes: 69285725
     num_examples: 392702
   - name: test
-    num_bytes: 871659
+    num_bytes: 871651
     num_examples: 5010
   - name: validation
-    num_bytes: 429858
+    num_bytes: 429850
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 70587562
+  download_size: 45564152
+  dataset_size: 70587226
 - config_name: th
   features:
   - name: premise
@@ -283,16 +343,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 176063212
+    num_bytes: 176062892
     num_examples: 392702
   - name: test
-    num_bytes: 2147023
+    num_bytes: 2147015
     num_examples: 5010
   - name: validation
-    num_bytes: 1061168
+    num_bytes: 1061160
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 179271403
+  download_size: 77222045
+  dataset_size: 179271067
 - config_name: tr
   features:
   - name: premise
@@ -308,16 +368,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 71637460
+    num_bytes: 71637140
     num_examples: 392702
   - name: test
-    num_bytes: 934942
+    num_bytes: 934934
     num_examples: 5010
   - name: validation
-    num_bytes: 459316
+    num_bytes: 459308
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 73031718
+  download_size: 48509680
+  dataset_size: 73031382
 - config_name: ur
   features:
   - name: premise
@@ -333,16 +393,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 96441806
+    num_bytes: 96441486
     num_examples: 392702
   - name: test
-    num_bytes: 1416249
+    num_bytes: 1416241
     num_examples: 5010
   - name: validation
-    num_bytes: 699960
+    num_bytes: 699952
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 98558015
+  download_size: 46682785
+  dataset_size: 98557679
 - config_name: vi
   features:
   - name: premise
@@ -358,16 +418,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 101417750
+    num_bytes: 101417430
     num_examples: 392702
   - name: test
-    num_bytes: 1190225
+    num_bytes: 1190217
     num_examples: 5010
   - name: validation
-    num_bytes: 590688
+    num_bytes: 590680
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 103198663
+  download_size: 57690058
+  dataset_size: 103198327
 - config_name: zh
   features:
   - name: premise
@@ -383,76 +443,145 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 72225161
+    num_bytes: 72224841
     num_examples: 392702
   - name: test
-    num_bytes: 777937
+    num_bytes: 777929
     num_examples: 5010
   - name: validation
-    num_bytes: 384859
+    num_bytes: 384851
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 73387957
+  download_size: 48269855
+  dataset_size: 73387621
+configs:
 - config_name: all_languages
-  features:
-  - name: premise
-    dtype:
-      translation:
-        languages:
-        - ar
-        - bg
-        - de
-        - el
-        - en
-        - es
-        - fr
-        - hi
-        - ru
-        - sw
-        - th
-        - tr
-        - ur
-        - vi
-        - zh
-  - name: hypothesis
-    dtype:
-      translation_variable_languages:
-        languages:
-        - ar
-        - bg
-        - de
-        - el
-        - en
-        - es
-        - fr
-        - hi
-        - ru
-        - sw
-        - th
-        - tr
-        - ur
-        - vi
-        - zh
-        num_languages: 15
-  - name: label
-    dtype:
-      class_label:
-        names:
-          '0': entailment
-          '1': neutral
-          '2': contradiction
-  splits:
-  - name: train
-    num_bytes: 1581474731
-    num_examples: 392702
-  - name: test
-    num_bytes: 19387508
-    num_examples: 5010
-  - name: validation
-    num_bytes: 9566255
-    num_examples: 2490
-  download_size: 483963712
-  dataset_size: 1610428494
+  data_files:
+  - split: train
+    path: all_languages/train-*
+  - split: test
+    path: all_languages/test-*
+  - split: validation
+    path: all_languages/validation-*
+- config_name: ar
+  data_files:
+  - split: train
+    path: ar/train-*
+  - split: test
+    path: ar/test-*
+  - split: validation
+    path: ar/validation-*
+- config_name: bg
+  data_files:
+  - split: train
+    path: bg/train-*
+  - split: test
+    path: bg/test-*
+  - split: validation
+    path: bg/validation-*
+- config_name: de
+  data_files:
+  - split: train
+    path: de/train-*
+  - split: test
+    path: de/test-*
+  - split: validation
+    path: de/validation-*
+- config_name: el
+  data_files:
+  - split: train
+    path: el/train-*
+  - split: test
+    path: el/test-*
+  - split: validation
+    path: el/validation-*
+- config_name: en
+  data_files:
+  - split: train
+    path: en/train-*
+  - split: test
+    path: en/test-*
+  - split: validation
+    path: en/validation-*
+- config_name: es
+  data_files:
+  - split: train
+    path: es/train-*
+  - split: test
+    path: es/test-*
+  - split: validation
+    path: es/validation-*
+- config_name: fr
+  data_files:
+  - split: train
+    path: fr/train-*
+  - split: test
+    path: fr/test-*
+  - split: validation
+    path: fr/validation-*
+- config_name: hi
+  data_files:
+  - split: train
+    path: hi/train-*
+  - split: test
+    path: hi/test-*
+  - split: validation
+    path: hi/validation-*
+- config_name: ru
+  data_files:
+  - split: train
+    path: ru/train-*
+  - split: test
+    path: ru/test-*
+  - split: validation
+    path: ru/validation-*
+- config_name: sw
+  data_files:
+  - split: train
+    path: sw/train-*
+  - split: test
+    path: sw/test-*
+  - split: validation
+    path: sw/validation-*
+- config_name: th
+  data_files:
+  - split: train
+    path: th/train-*
+  - split: test
+    path: th/test-*
+  - split: validation
+    path: th/validation-*
+- config_name: tr
+  data_files:
+  - split: train
+    path: tr/train-*
+  - split: test
+    path: tr/test-*
+  - split: validation
+    path: tr/validation-*
+- config_name: ur
+  data_files:
+  - split: train
+    path: ur/train-*
+  - split: test
+    path: ur/test-*
+  - split: validation
+    path: ur/validation-*
+- config_name: vi
+  data_files:
+  - split: train
+    path: vi/train-*
+  - split: test
+    path: vi/test-*
+  - split: validation
+    path: vi/validation-*
+- config_name: zh
+  data_files:
+  - split: train
+    path: zh/train-*
+  - split: test
+    path: zh/test-*
+  - split: validation
+    path: zh/validation-*
 ---
 
 # Dataset Card for "xnli"
diff --git a/all_languages/test-00000-of-00001.parquet b/all_languages/test-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..c998c005dfbec6d3e3daaed44fd430042bbd171c
--- /dev/null
+++ b/all_languages/test-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:599e3a0191403f19cbe802afdf69841152000b41eaed725e4f463d432c0ffb49
+size 6769722
diff --git a/all_languages/train-00000-of-00004.parquet b/all_languages/train-00000-of-00004.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..b0eddc5233eb87399621ec1c3d4b480fc108e35d
--- /dev/null
+++ b/all_languages/train-00000-of-00004.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:beeb34bbb7779413d78c09f5746baf05b7a79ab37ff063f882f201412c437ddb
+size 237658468
diff --git a/all_languages/train-00001-of-00004.parquet b/all_languages/train-00001-of-00004.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..595d687ab254262d177899cce3266e8c9a29554e
--- /dev/null
+++ b/all_languages/train-00001-of-00004.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f3365b09a00408fa6b1de52e14f915decedab864376a179cc5f65937044a2c0
+size 238583683
diff --git a/all_languages/train-00002-of-00004.parquet b/all_languages/train-00002-of-00004.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..65cad9acbf81520321041789868da6d783ef9de0
--- /dev/null
+++ b/all_languages/train-00002-of-00004.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:340d804e040607dee5c5b0581ccfd390901255129c4bfb4f81e9e7605b76a0d7
+size 238115767
diff --git a/all_languages/train-00003-of-00004.parquet b/all_languages/train-00003-of-00004.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..a9607a005a601702615035e9e66861eff662fd0a
--- /dev/null
+++ b/all_languages/train-00003-of-00004.parquet
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+version https://git-lfs.github.com/spec/v1
+oid sha256:d05011ebb98705d0cbc5482fbc555f146dbc4e02890efa28e7774748539f5737
+size 239422128
diff --git a/all_languages/validation-00000-of-00001.parquet b/all_languages/validation-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..e4cd8c6e776a2c4263738d889a82b594aba74a10
--- /dev/null
+++ b/all_languages/validation-00000-of-00001.parquet
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c5e6263b0872a3914c9bc165bfe3883e433aa2066c3fa3b9d142829a9b122518
+size 3392503
diff --git a/ar/test-00000-of-00001.parquet b/ar/test-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..7ccb413f560f072bf3c8b59009e81d943e0161d8
--- /dev/null
+++ b/ar/test-00000-of-00001.parquet
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+version https://git-lfs.github.com/spec/v1
+oid sha256:89521231aa5f8404c46fcc5d421a9453819ca48bb99590680fa31fb8c82cf8bd
+size 391980
diff --git a/ar/train-00000-of-00001.parquet b/ar/train-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..8f3dbe40549a1f73eb76f2ee25a599c5f4fff458
--- /dev/null
+++ b/ar/train-00000-of-00001.parquet
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+version https://git-lfs.github.com/spec/v1
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+size 58630165
diff --git a/ar/validation-00000-of-00001.parquet b/ar/validation-00000-of-00001.parquet
new file mode 100644
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+size 193757
diff --git a/bg/test-00000-of-00001.parquet b/bg/test-00000-of-00001.parquet
new file mode 100644
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+version https://git-lfs.github.com/spec/v1
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+size 447341
diff --git a/bg/train-00000-of-00001.parquet b/bg/train-00000-of-00001.parquet
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+version https://git-lfs.github.com/spec/v1
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diff --git a/bg/validation-00000-of-00001.parquet b/bg/validation-00000-of-00001.parquet
new file mode 100644
index 0000000000000000000000000000000000000000..96d0f5e7296f8b748cf274a5f5085fe012bd776b
--- /dev/null
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diff --git a/dataset_infos.json b/dataset_infos.json
deleted file mode 100644
index 6016ab61ebe4b6e9a72a9131667f5751e1e096e1..0000000000000000000000000000000000000000
--- a/dataset_infos.json
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/xnli.py b/xnli.py
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index 7d47bd95f67e7f580d21f7195df4b88984bfa0e5..0000000000000000000000000000000000000000
--- a/xnli.py
+++ /dev/null
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-# coding=utf-8
-# Copyright 2020 The TensorFlow Datasets Authors and the HuggingFace Datasets Authors.
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-#     http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-# Lint as: python3
-"""XNLI: The Cross-Lingual NLI Corpus."""
-
-
-import collections
-import csv
-import os
-from contextlib import ExitStack
-
-import datasets
-
-
-_CITATION = """\
-@InProceedings{conneau2018xnli,
-  author = {Conneau, Alexis
-                 and Rinott, Ruty
-                 and Lample, Guillaume
-                 and Williams, Adina
-                 and Bowman, Samuel R.
-                 and Schwenk, Holger
-                 and Stoyanov, Veselin},
-  title = {XNLI: Evaluating Cross-lingual Sentence Representations},
-  booktitle = {Proceedings of the 2018 Conference on Empirical Methods
-               in Natural Language Processing},
-  year = {2018},
-  publisher = {Association for Computational Linguistics},
-  location = {Brussels, Belgium},
-}"""
-
-_DESCRIPTION = """\
-XNLI is a subset of a few thousand examples from MNLI which has been translated
-into a 14 different languages (some low-ish resource). As with MNLI, the goal is
-to predict textual entailment (does sentence A imply/contradict/neither sentence
-B) and is a classification task (given two sentences, predict one of three
-labels).
-"""
-
-_TRAIN_DATA_URL = "https://dl.fbaipublicfiles.com/XNLI/XNLI-MT-1.0.zip"
-_TESTVAL_DATA_URL = "https://dl.fbaipublicfiles.com/XNLI/XNLI-1.0.zip"
-
-_LANGUAGES = ("ar", "bg", "de", "el", "en", "es", "fr", "hi", "ru", "sw", "th", "tr", "ur", "vi", "zh")
-
-
-class XnliConfig(datasets.BuilderConfig):
-    """BuilderConfig for XNLI."""
-
-    def __init__(self, language: str, languages=None, **kwargs):
-        """BuilderConfig for XNLI.
-
-        Args:
-        language: One of ar,bg,de,el,en,es,fr,hi,ru,sw,th,tr,ur,vi,zh, or all_languages
-          **kwargs: keyword arguments forwarded to super.
-        """
-        super(XnliConfig, self).__init__(**kwargs)
-        self.language = language
-        if language != "all_languages":
-            self.languages = [language]
-        else:
-            self.languages = languages if languages is not None else _LANGUAGES
-
-
-class Xnli(datasets.GeneratorBasedBuilder):
-    """XNLI: The Cross-Lingual NLI Corpus. Version 1.0."""
-
-    VERSION = datasets.Version("1.1.0", "")
-    BUILDER_CONFIG_CLASS = XnliConfig
-    BUILDER_CONFIGS = [
-        XnliConfig(
-            name=lang,
-            language=lang,
-            version=datasets.Version("1.1.0", ""),
-            description=f"Plain text import of XNLI for the {lang} language",
-        )
-        for lang in _LANGUAGES
-    ] + [
-        XnliConfig(
-            name="all_languages",
-            language="all_languages",
-            version=datasets.Version("1.1.0", ""),
-            description="Plain text import of XNLI for all languages",
-        )
-    ]
-
-    def _info(self):
-        if self.config.language == "all_languages":
-            features = datasets.Features(
-                {
-                    "premise": datasets.Translation(
-                        languages=_LANGUAGES,
-                    ),
-                    "hypothesis": datasets.TranslationVariableLanguages(
-                        languages=_LANGUAGES,
-                    ),
-                    "label": datasets.ClassLabel(names=["entailment", "neutral", "contradiction"]),
-                }
-            )
-        else:
-            features = datasets.Features(
-                {
-                    "premise": datasets.Value("string"),
-                    "hypothesis": datasets.Value("string"),
-                    "label": datasets.ClassLabel(names=["entailment", "neutral", "contradiction"]),
-                }
-            )
-        return datasets.DatasetInfo(
-            description=_DESCRIPTION,
-            features=features,
-            # No default supervised_keys (as we have to pass both premise
-            # and hypothesis as input).
-            supervised_keys=None,
-            homepage="https://www.nyu.edu/projects/bowman/xnli/",
-            citation=_CITATION,
-        )
-
-    def _split_generators(self, dl_manager):
-        dl_dirs = dl_manager.download_and_extract(
-            {
-                "train_data": _TRAIN_DATA_URL,
-                "testval_data": _TESTVAL_DATA_URL,
-            }
-        )
-        train_dir = os.path.join(dl_dirs["train_data"], "XNLI-MT-1.0", "multinli")
-        testval_dir = os.path.join(dl_dirs["testval_data"], "XNLI-1.0")
-        return [
-            datasets.SplitGenerator(
-                name=datasets.Split.TRAIN,
-                gen_kwargs={
-                    "filepaths": [
-                        os.path.join(train_dir, f"multinli.train.{lang}.tsv") for lang in self.config.languages
-                    ],
-                    "data_format": "XNLI-MT",
-                },
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.TEST,
-                gen_kwargs={"filepaths": [os.path.join(testval_dir, "xnli.test.tsv")], "data_format": "XNLI"},
-            ),
-            datasets.SplitGenerator(
-                name=datasets.Split.VALIDATION,
-                gen_kwargs={"filepaths": [os.path.join(testval_dir, "xnli.dev.tsv")], "data_format": "XNLI"},
-            ),
-        ]
-
-    def _generate_examples(self, data_format, filepaths):
-        """This function returns the examples in the raw (text) form."""
-
-        if self.config.language == "all_languages":
-            if data_format == "XNLI-MT":
-                with ExitStack() as stack:
-                    files = [stack.enter_context(open(filepath, encoding="utf-8")) for filepath in filepaths]
-                    readers = [csv.DictReader(file, delimiter="\t", quoting=csv.QUOTE_NONE) for file in files]
-                    for row_idx, rows in enumerate(zip(*readers)):
-                        yield row_idx, {
-                            "premise": {lang: row["premise"] for lang, row in zip(self.config.languages, rows)},
-                            "hypothesis": {lang: row["hypo"] for lang, row in zip(self.config.languages, rows)},
-                            "label": rows[0]["label"].replace("contradictory", "contradiction"),
-                        }
-            else:
-                rows_per_pair_id = collections.defaultdict(list)
-                for filepath in filepaths:
-                    with open(filepath, encoding="utf-8") as f:
-                        reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
-                        for row in reader:
-                            rows_per_pair_id[row["pairID"]].append(row)
-
-                for rows in rows_per_pair_id.values():
-                    premise = {row["language"]: row["sentence1"] for row in rows}
-                    hypothesis = {row["language"]: row["sentence2"] for row in rows}
-                    yield rows[0]["pairID"], {
-                        "premise": premise,
-                        "hypothesis": hypothesis,
-                        "label": rows[0]["gold_label"],
-                    }
-        else:
-            if data_format == "XNLI-MT":
-                for file_idx, filepath in enumerate(filepaths):
-                    file = open(filepath, encoding="utf-8")
-                    reader = csv.DictReader(file, delimiter="\t", quoting=csv.QUOTE_NONE)
-                    for row_idx, row in enumerate(reader):
-                        key = str(file_idx) + "_" + str(row_idx)
-                        yield key, {
-                            "premise": row["premise"],
-                            "hypothesis": row["hypo"],
-                            "label": row["label"].replace("contradictory", "contradiction"),
-                        }
-            else:
-                for filepath in filepaths:
-                    with open(filepath, encoding="utf-8") as f:
-                        reader = csv.DictReader(f, delimiter="\t", quoting=csv.QUOTE_NONE)
-                        for row in reader:
-                            if row["language"] == self.config.language:
-                                yield row["pairID"], {
-                                    "premise": row["sentence1"],
-                                    "hypothesis": row["sentence2"],
-                                    "label": row["gold_label"],
-                                }
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