diff --git a/.gitignore b/.gitignore deleted file mode 100644 index a0380b0f40151dd3a773569f306b12c9d0469a99..0000000000000000000000000000000000000000 --- a/.gitignore +++ /dev/null @@ -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 \ No newline at end of file diff --git a/README.md b/README.md index 6fa13779fe85716fb890fa3366598665dea2c82f..48378ec6a480aae673ee17126b24e49ad08eb8f6 100644 --- a/README.md +++ b/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-* + - 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sha256:4d06c7664e290c8df773ce9fefab10a9c78824a454a907f01d36eab5e800e3bb -size 706477 diff --git a/backward/dev/xnli_gu.json b/backward/dev/xnli_gu.json deleted file mode 100644 index daf00247fd42191934dd24dcc6dd348988eb9331..0000000000000000000000000000000000000000 --- a/backward/dev/xnli_gu.json +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:20ce20b6797308ee2fe369a700f33b1ab304c3d9bdaf441b172c2dbdbd2ba2d2 -size 689045 diff --git a/backward/dev/xnli_hi.json b/backward/dev/xnli_hi.json deleted file mode 100644 index 40524b9f8c2f32237e345c4b9433f44bbe5e1ca7..0000000000000000000000000000000000000000 --- a/backward/dev/xnli_hi.json +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:c606d78632c8f983f3a68c940f48f431d6d3aa124be99dc65e52d4fa77f70a32 -size 706470 diff --git a/backward/dev/xnli_kn.json b/backward/dev/xnli_kn.json deleted file mode 100644 index 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c3bb583a84fd06b02743fa7eb59c36a0fe6f9e39..0000000000000000000000000000000000000000 --- a/indicxnli.py +++ /dev/null @@ -1,149 +0,0 @@ -# coding=utf-8 - - -# Lint as: python3 -"""IndicXNLI: The Cross-Lingual NLI Corpus for Indic Languages.""" - - -import os -import json - -import datasets - - -_CITATION = """\ -@misc{https://doi.org/10.48550/arxiv.2204.08776, - doi = {10.48550/ARXIV.2204.08776}, - - url = {https://arxiv.org/abs/2204.08776}, - - author = {Aggarwal, Divyanshu and Gupta, Vivek and Kunchukuttan, Anoop}, - - keywords = {Computation and Language (cs.CL), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences}, - - title = {IndicXNLI: Evaluating Multilingual Inference for Indian Languages}, - - publisher = {arXiv}, - - year = {2022}, - - copyright = {Creative Commons Attribution 4.0 International} -} -}""" - -_DESCRIPTION = """\ -IndicXNLI is a translated version of XNLI to 11 Indic Languages. As with XNLI, 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). -""" - -_LANGUAGES = ( - 'hi', - 'bn', - 'mr', - 'as', - 'ta', - 'te', - 'or', - 'ml', - 'pa', - 'gu', - 'kn' -) - - -_URL = "https://huggingface.co/datasets/Divyanshu/indicxnli/resolve/main/forward" - -class IndicxnliConfig(datasets.BuilderConfig): - """BuilderConfig for XNLI.""" - - def __init__(self, language: str, **kwargs): - """BuilderConfig for XNLI. - - Args: - language: One of hi, bn, mr, as, ta, te, or, ml, pa, gu, kn - **kwargs: keyword arguments forwarded to super. - """ - super(IndicxnliConfig, self).__init__(**kwargs) - - self.language = language - self.languages = _LANGUAGES - - self._URLS = { - "train": os.path.join(_URL, "train", f"xnli_{self.language}.json"), - "test": os.path.join(_URL, "test", f"xnli_{self.language}.json"), - "dev": os.path.join(_URL, "dev", f"xnli_{self.language}.json") - } - - -class Indicxnli(datasets.GeneratorBasedBuilder): - """IndicXNLI: The Cross-Lingual NLI Corpus for Indic Languages. Version 1.0.""" - - VERSION = datasets.Version("1.0.0", "") - BUILDER_CONFIG_CLASS = IndicxnliConfig - BUILDER_CONFIGS = [ - IndicxnliConfig( - name=lang, - language=lang, - version=datasets.Version("1.0.0", ""), - description=f"Plain text import of IndicXNLI for the {lang} language", - ) - for lang in _LANGUAGES - ] - - def _info(self): - 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://github.com/divyanshuaggarwal/IndicXNLI", - citation=_CITATION, - ) - - def _split_generators(self, dl_manager): - urls_to_download = self.config._URLS - - - downloaded_files = dl_manager.download(urls_to_download) - - return [ - datasets.SplitGenerator( - name=datasets.Split.TRAIN, - gen_kwargs={ - "filepath": downloaded_files["train"], - "data_format": "IndicXNLI", - }, - ), - datasets.SplitGenerator( - name=datasets.Split.TEST, - gen_kwargs={"filepath": downloaded_files["test"], "data_format": "IndicXNLI"}, - ), - datasets.SplitGenerator( - name=datasets.Split.VALIDATION, - gen_kwargs={"filepath": downloaded_files["dev"], "data_format": "IndicXNLI"}, - ), - ] - - def _generate_examples(self, data_format, filepath): - """This function returns the examples in the raw (text) form.""" - - with open(filepath, "r") as f: - data = json.load(f) - data = data[list(data.keys())[0]] - - for idx, row in enumerate(data): - yield idx, { - "premise": row["premise"], - "hypothesis": row["hypothesis"], - "label": row["label"], - } diff --git a/kn/test-00000-of-00001.parquet b/kn/test-00000-of-00001.parquet new file mode 100644 index 0000000000000000000000000000000000000000..d0124fce6b7630b36c2c18891d8727a5235cb588 --- 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