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| # 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. | |
| """Samanantar dataset.""" | |
| import re | |
| import pandas as pd | |
| import datasets | |
| _CITATION = """\ | |
| @misc{ramesh2021samanantar, | |
| title={Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages}, | |
| author={Gowtham Ramesh and Sumanth Doddapaneni and Aravinth Bheemaraj and Mayank Jobanputra and Raghavan AK and Ajitesh Sharma and Sujit Sahoo and Harshita Diddee and Mahalakshmi J and Divyanshu Kakwani and Navneet Kumar and Aswin Pradeep and Srihari Nagaraj and Kumar Deepak and Vivek Raghavan and Anoop Kunchukuttan and Pratyush Kumar and Mitesh Shantadevi Khapra}, | |
| year={2021}, | |
| eprint={2104.05596}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| """ | |
| _DESCRIPTION = """\ | |
| Samanantar is the largest publicly available parallel corpora collection for Indic languages: Assamese, Bengali, Gujarati, Hindi, Kannada, Malayalam, Marathi, Oriya, Punjabi, Tamil, Telugu. The corpus has 49.6M sentence pairs between English to Indian Languages. | |
| """ | |
| _HOMEPAGE = "https://indicnlp.ai4bharat.org/samanantar/" | |
| _LICENSE = "Creative Commons Attribution-NonCommercial 4.0 International" | |
| _URLS = { | |
| "0.3.0": "https://storage.googleapis.com/samanantar-public/V0.3/source_wise_splits.zip", | |
| } | |
| _LANGUAGES = ["as", "bn", "gu", "hi", "kn", "ml", "mr", "or", "pa", "ta", "te"] | |
| PATH_PATTERN = re.compile(r"/(?:existing|created)/(?P<data_source>[^/]+)/") | |
| class SamanantarConfig(datasets.BuilderConfig): | |
| VERSION = datasets.Version("0.3.0") | |
| def __init__(self, language=None, version=VERSION, **kwargs): | |
| super().__init__(name=language, version=version, **kwargs) | |
| self.language = language | |
| class Samanantar(datasets.GeneratorBasedBuilder): | |
| """Samanantar dataset.""" | |
| BUILDER_CONFIG_CLASS = SamanantarConfig | |
| BUILDER_CONFIGS = [SamanantarConfig(language=language) for language in _LANGUAGES] | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "idx": datasets.Value("int64"), | |
| "src": datasets.Value("string"), | |
| "tgt": datasets.Value("string"), | |
| "data_source": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage=_HOMEPAGE, | |
| license=_LICENSE, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| urls = _URLS[str(self.config.version)] | |
| archive = dl_manager.download_and_extract(urls) | |
| return [ | |
| datasets.SplitGenerator( | |
| name=datasets.Split.TRAIN, | |
| gen_kwargs={ | |
| "paths": dl_manager.iter_files([archive]), | |
| }, | |
| ), | |
| ] | |
| def _generate_examples(self, paths): | |
| id_ = 0 | |
| for path in paths: | |
| if "/created/" in path and f"/en-{self.config.language}/{self.config.language}_sents.tsv" in path: | |
| match = PATH_PATTERN.search(path) | |
| df = pd.read_csv(path, sep="\t") | |
| for row in df.to_dict(orient="records"): | |
| row.update(match.groupdict()) | |
| yield id_, row | |
| id_ += 1 | |