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 deleted file mode 100644 index 6fa13779fe85716fb890fa3366598665dea2c82f..0000000000000000000000000000000000000000 --- a/README.md +++ /dev/null @@ -1,220 +0,0 @@ ---- -annotations_creators: -- machine-generated -language_creators: -- machine-generated -language: -- as -- bn -- gu -- hi -- kn -- ml -- mr -- or -- pa -- ta -- te -license: -- cc0-1.0 -multilinguality: -- multilingual -pretty_name: IndicXNLI -size_categories: -- 1M -- **Paper:** [IndicXNLI: Evaluating Multilingual Inference for Indian Languages](https://arxiv.org/abs/2204.08776) -- **Point of Contact:** [Divyanshu Aggarwal](mailto:divyanshuggrwl@gmail.com) - -### Dataset Summary - -INDICXNLI is similar to existing -XNLI dataset in shape/form, but focusses on Indic language family. INDICXNLI include NLI -data for eleven major Indic languages that includes -Assamese (‘as’), Gujarat (‘gu’), Kannada (‘kn’), -Malayalam (‘ml’), Marathi (‘mr’), Odia (‘or’), -Punjabi (‘pa’), Tamil (‘ta’), Telugu (‘te’), Hindi -(‘hi’), and Bengali (‘bn’). - -### Supported Tasks and Leaderboards - -**Tasks:** Natural Language Inference - -**Leaderboards:** Currently there is no Leaderboard for this dataset. - -### Languages - -- `Assamese (as)` -- `Bengali (bn)` -- `Gujarati (gu)` -- `Kannada (kn)` -- `Hindi (hi)` -- `Malayalam (ml)` -- `Marathi (mr)` -- `Oriya (or)` -- `Punjabi (pa)` -- `Tamil (ta)` -- `Telugu (te)` - -## Dataset Structure - -### Data Instances - -One example from the `hi` dataset is given below in JSON format. - - ```python - {'premise': 'अवधारणात्मक रूप से क्रीम स्किमिंग के दो बुनियादी आयाम हैं-उत्पाद और भूगोल।', - 'hypothesis': 'उत्पाद और भूगोल क्रीम स्किमिंग का काम करते हैं।', - 'label': 1 (neutral) } - ``` - -### Data Fields - -- `premise (string)`: Premise Sentence -- `hypothesis (string)`: Hypothesis Sentence -- `label (integer)`: Integer label `0` if hypothesis `entails` the premise, `2` if hypothesis `negates` the premise and `1` otherwise. - -### Data Splits - - - -Language | ISO 639-1 Code |Train | Test | Dev | ---------------|----------------|-------|-----|------| -Assamese | as | 392,702 | 5,010 | 2,490 | -Bengali | bn | 392,702 | 5,010 | 2,490 | -Gujarati | gu | 392,702 | 5,010 | 2,490 | -Hindi | hi | 392,702 | 5,010 | 2,490 | -Kannada | kn | 392,702 | 5,010 | 2,490 | -Malayalam | ml |392,702 | 5,010 | 2,490 | -Marathi | mr |392,702 | 5,010 | 2,490 | -Oriya | or | 392,702 | 5,010 | 2,490 | -Punjabi | pa | 392,702 | 5,010 | 2,490 | -Tamil | ta | 392,702 | 5,010 | 2,490 | -Telugu | te | 392,702 | 5,010 | 2,490 | - - - -## Dataset usage - -Code snippet for using the dataset using datasets library. - -```python -from datasets import load_dataset - -dataset = load_dataset("Divyanshu/indicxnli") -``` - -## Dataset Creation -Machine translation of XNLI english dataset to 11 listed Indic Languages. - -### Curation Rationale - -[More information needed] - -### Source Data - -[XNLI dataset](https://cims.nyu.edu/~sbowman/xnli/) - -#### Initial Data Collection and Normalization - -[Detailed in the paper](https://arxiv.org/abs/2204.08776) - -#### Who are the source language producers? - -[Detailed in the paper](https://arxiv.org/abs/2204.08776) - -#### Human Verification Process - -[Detailed in the paper](https://arxiv.org/abs/2204.08776) - - -## Considerations for Using the Data - -### Social Impact of Dataset - -[Detailed in the paper](https://arxiv.org/abs/2204.08776) - -### Discussion of Biases - -[Detailed in the paper](https://arxiv.org/abs/2204.08776) - -### Other Known Limitations - -[Detailed in the paper](https://arxiv.org/abs/2204.08776) - -### Dataset Curators - -Divyanshu Aggarwal, Vivek Gupta, Anoop Kunchukuttan - -### Licensing Information - -Contents of this repository are restricted to only non-commercial research purposes under the [Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0)](https://creativecommons.org/licenses/by-nc/4.0/). Copyright of the dataset contents belongs to the original copyright holders. - -### Citation Information - -If you use any of the datasets, models or code modules, please cite the following paper: - -``` -@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} -} -``` - - diff --git a/as/indicxnli-test.parquet b/as/indicxnli-test.parquet new file mode 100644 index 0000000000000000000000000000000000000000..c93535b32d9c1311db5a1a60111bade8b0cb3805 --- /dev/null +++ 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sha256:52a28f67408b033bd0d21e7b65f7371021560c69c58c747780682fc67d8af082 +size 74556205 diff --git a/hi/indicxnli-validation.parquet b/hi/indicxnli-validation.parquet new file mode 100644 index 0000000000000000000000000000000000000000..bc1cdb73fc1520acfa3a7f93bea7925b70b4426d --- /dev/null +++ b/hi/indicxnli-validation.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:712af6f407f869c2cbea2058d4140b676dfd15205c88db0e0b258d30cd56941c +size 238753 diff --git a/indicxnli.py b/indicxnli.py deleted file mode 100644 index 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/indicxnli-test.parquet b/kn/indicxnli-test.parquet new file mode 100644 index 0000000000000000000000000000000000000000..786214baf418b8dd4242b8771673c7ec4fe8036c --- /dev/null +++ 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