Convert dataset to Parquet

.gitignore

@@ -1,163 +0,0 @@
-.history/
-
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-share/python-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.nox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-*.py,cover
-.hypothesis/
-.pytest_cache/
-cover/
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-.pybuilder/
-target/
-
-# Jupyter Notebook
-.ipynb_checkpoints
-
-# IPython
-profile_default/
-ipython_config.py
-
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-# .python-version
-
-# pipenv
-#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-#   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don't work, or not
-#   install all needed dependencies.
-#Pipfile.lock
-
-# poetry
-#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
-
-# pdm
-#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#pdm.lock
-#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
-#   in version control.
-#   https://pdm.fming.dev/#use-with-ide
-.pdm.toml
-
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
-__pypackages__/
-
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
-
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# Pyre type checker
-.pyre/
-
-# pytype static type analyzer
-.pytype/
-
-# Cython debug symbols
-cython_debug/
-
-# PyCharm
-#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
-#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-#  and can be added to the global gitignore or merged into this file.  For a more nuclear
-#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
-Foo

README.md

@@ -28,6 +28,371 @@ task_categories:
 - text-classification
 task_ids:
 - natural-language-inference
+dataset_info:
+- config_name: as
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  splits:
+  - name: train
+    num_bytes: 172049648
+    num_examples: 392702
+  - name: test
+    num_bytes: 2097452
+    num_examples: 5010
+  - name: validation
+    num_bytes: 1042526
+    num_examples: 2490
+  download_size: 74371257
+  dataset_size: 175189626
+- config_name: bn
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  splits:
+  - name: train
+    num_bytes: 174095464
+    num_examples: 392702
+  - name: test
+    num_bytes: 2113149
+    num_examples: 5010
+  - name: validation
+    num_bytes: 1044438
+    num_examples: 2490
+  download_size: 74466392
+  dataset_size: 177253051
+- config_name: gu
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  splits:
+  - name: train
+    num_bytes: 167102046
+    num_examples: 392702
+  - name: test
+    num_bytes: 2016682
+    num_examples: 5010
+  - name: validation
+    num_bytes: 992611
+    num_examples: 2490
+  download_size: 73329179
+  dataset_size: 170111339
+- config_name: hi
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  splits:
+  - name: train
+    num_bytes: 175582034
+    num_examples: 392702
+  - name: test
+    num_bytes: 2109705
+    num_examples: 5010
+  - name: validation
+    num_bytes: 1043487
+    num_examples: 2490
+  download_size: 74840429
+  dataset_size: 178735226
+- config_name: kn
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  splits:
+  - name: train
+    num_bytes: 188780510
+    num_examples: 392702
+  - name: test
+    num_bytes: 2309807
+    num_examples: 5010
+  - name: validation
+    num_bytes: 1139277
+    num_examples: 2490
+  download_size: 78285369
+  dataset_size: 192229594
+- config_name: ml
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  splits:
+  - name: train
+    num_bytes: 187851515
+    num_examples: 392702
+  - name: test
+    num_bytes: 2362836
+    num_examples: 5010
+  - name: validation
+    num_bytes: 1171953
+    num_examples: 2490
+  download_size: 77263292
+  dataset_size: 191386304
+- config_name: mr
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  splits:
+  - name: train
+    num_bytes: 170752688
+    num_examples: 392702
+  - name: test
+    num_bytes: 2078079
+    num_examples: 5010
+  - name: validation
+    num_bytes: 1028494
+    num_examples: 2490
+  download_size: 73035248
+  dataset_size: 173859261
+- config_name: or
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  splits:
+  - name: train
+    num_bytes: 173273552
+    num_examples: 392702
+  - name: test
+    num_bytes: 2135557
+    num_examples: 5010
+  - name: validation
+    num_bytes: 1047017
+    num_examples: 2490
+  download_size: 73223669
+  dataset_size: 176456126
+- config_name: pa
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  splits:
+  - name: train
+    num_bytes: 172665273
+    num_examples: 392702
+  - name: test
+    num_bytes: 2077462
+    num_examples: 5010
+  - name: validation
+    num_bytes: 1030309
+    num_examples: 2490
+  download_size: 73760675
+  dataset_size: 175773044
+- config_name: ta
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  splits:
+  - name: train
+    num_bytes: 206105782
+    num_examples: 392702
+  - name: test
+    num_bytes: 2520985
+    num_examples: 5010
+  - name: validation
+    num_bytes: 1637644
+    num_examples: 3238
+  download_size: 79964341
+  dataset_size: 210264411
+- config_name: te
+  features:
+  - name: premise
+    dtype: string
+  - name: hypothesis
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': entailment
+          '1': neutral
+          '2': contradiction
+  splits:
+  - name: train
+    num_bytes: 175597688
+    num_examples: 392702
+  - name: test
+    num_bytes: 2145349
+    num_examples: 5010
+  - name: validation
+    num_bytes: 1056174
+    num_examples: 2490
+  download_size: 75184880
+  dataset_size: 178799211
+configs:
+- config_name: as
+  data_files:
+  - split: train
+    path: as/train-*
+  - split: test
+    path: as/test-*
+  - split: validation
+    path: as/validation-*
+- config_name: bn
+  data_files:
+  - split: train
+    path: bn/train-*
+  - split: test
+    path: bn/test-*
+  - split: validation
+    path: bn/validation-*
+- config_name: gu
+  data_files:
+  - split: train
+    path: gu/train-*
+  - split: test
+    path: gu/test-*
+  - split: validation
+    path: gu/validation-*
+- config_name: hi
+  data_files:
+  - split: train
+    path: hi/train-*
+  - split: test
+    path: hi/test-*
+  - split: validation
+    path: hi/validation-*
+- config_name: kn
+  data_files:
+  - split: train
+    path: kn/train-*
+  - split: test
+    path: kn/test-*
+  - split: validation
+    path: kn/validation-*
+- config_name: ml
+  data_files:
+  - split: train
+    path: ml/train-*
+  - split: test
+    path: ml/test-*
+  - split: validation
+    path: ml/validation-*
+- config_name: mr
+  data_files:
+  - split: train
+    path: mr/train-*
+  - split: test
+    path: mr/test-*
+  - split: validation
+    path: mr/validation-*
+- config_name: or
+  data_files:
+  - split: train
+    path: or/train-*
+  - split: test
+    path: or/test-*
+  - split: validation
+    path: or/validation-*
+- config_name: pa
+  data_files:
+  - split: train
+    path: pa/train-*
+  - split: test
+    path: pa/test-*
+  - split: validation
+    path: pa/validation-*
+- config_name: ta
+  data_files:
+  - split: train
+    path: ta/train-*
+  - split: test
+    path: ta/test-*
+  - split: validation
+    path: ta/validation-*
+- config_name: te
+  data_files:
+  - split: train
+    path: te/train-*
+  - split: test
+    path: te/test-*
+  - split: validation
+    path: te/validation-*
 ---
 
 # Dataset Card for "IndicXNLI"

backward/dev/xnli_hi.json → as/test-00000-of-00001.parquet

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-size 706470
+oid sha256:568b6824d0a22c819f35181350deeb708e16a98a1b26f909c0f605e9e0f39d7f
+size 484200

as/train-00000-of-00001.parquet

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+size 73644600

backward/dev/xnli_as.json → as/validation-00000-of-00001.parquet

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-size 684832
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+size 242457

backward/dev/xnli_kn.json

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-size 666957

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-size 678142

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-size 674231

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-size 694580

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-size 1381227

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-size 1423454

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backward/dev/xnli_bn.json → bn/test-00000-of-00001.parquet

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bn/train-00000-of-00001.parquet

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