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| import datasets |
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| _DESCRIPTION = """\ |
| This corpus is an attempt to recreate the dataset used for training XLM-R. This corpus comprises of monolingual data for 100+ languages and also includes data for romanized languages (indicated by *_rom). This was constructed using the urls and paragraph indices provided by the CC-Net repository by processing January-December 2018 Commoncrawl snapshots. Each file comprises of documents separated by double-newlines and paragraphs within the same document separated by a newline. The data is generated using the open source CC-Net repository. No claims of intellectual property are made on the work of preparation of the corpus. |
| """ |
| _HOMEPAGE_URL = "https://data.statmt.org/cc-100/" |
| _CITATION = """\ |
| @inproceedings{conneau-etal-2020-unsupervised, |
| title = "Unsupervised Cross-lingual Representation Learning at Scale", |
| author = "Conneau, Alexis and |
| Khandelwal, Kartikay and |
| Goyal, Naman and |
| Chaudhary, Vishrav and |
| Wenzek, Guillaume and |
| Guzm{\\'a}n, Francisco and |
| Grave, Edouard and |
| Ott, Myle and |
| Zettlemoyer, Luke and |
| Stoyanov, Veselin", |
| editor = "Jurafsky, Dan and |
| Chai, Joyce and |
| Schluter, Natalie and |
| Tetreault, Joel", |
| booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics", |
| month = jul, |
| year = "2020", |
| address = "Online", |
| publisher = "Association for Computational Linguistics", |
| url = "https://aclanthology.org/2020.acl-main.747", |
| doi = "10.18653/v1/2020.acl-main.747", |
| pages = "8440--8451", |
| } |
| @inproceedings{wenzek-etal-2020-ccnet, |
| title = "{CCN}et: Extracting High Quality Monolingual Datasets from Web Crawl Data", |
| author = "Wenzek, Guillaume and |
| Lachaux, Marie-Anne and |
| Conneau, Alexis and |
| Chaudhary, Vishrav and |
| Guzm{\\'a}n, Francisco and |
| Joulin, Armand and |
| Grave, Edouard", |
| editor = "Calzolari, Nicoletta and |
| B{\\'e}chet, Fr{\\'e}d{\\'e}ric and |
| Blache, Philippe and |
| Choukri, Khalid and |
| Cieri, Christopher and |
| Declerck, Thierry and |
| Goggi, Sara and |
| Isahara, Hitoshi and |
| Maegaard, Bente and |
| Mariani, Joseph and |
| Mazo, H{\\'e}l{\\`e}ne and |
| Moreno, Asuncion and |
| Odijk, Jan and |
| Piperidis, Stelios", |
| booktitle = "Proceedings of the Twelfth Language Resources and Evaluation Conference", |
| month = may, |
| year = "2020", |
| address = "Marseille, France", |
| publisher = "European Language Resources Association", |
| url = "https://aclanthology.org/2020.lrec-1.494", |
| pages = "4003--4012", |
| language = "English", |
| ISBN = "979-10-95546-34-4", |
| } |
| """ |
|
|
| _VERSION = "1.0.0" |
| _BASE_URL = "https://data.statmt.org/cc-100/{}.txt.xz" |
| _LANGUAGES = [ |
| "af", |
| "am", |
| "ar", |
| "as", |
| "az", |
| "be", |
| "bg", |
| "bn", |
| "bn_rom", |
| "br", |
| "bs", |
| "ca", |
| "cs", |
| "cy", |
| "da", |
| "de", |
| "el", |
| "en", |
| "eo", |
| "es", |
| "et", |
| "eu", |
| "fa", |
| "ff", |
| "fi", |
| "fr", |
| "fy", |
| "ga", |
| "gd", |
| "gl", |
| "gn", |
| "gu", |
| "ha", |
| "he", |
| "hi", |
| "hi_rom", |
| "hr", |
| "ht", |
| "hu", |
| "hy", |
| "id", |
| "ig", |
| "is", |
| "it", |
| "ja", |
| "jv", |
| "ka", |
| "kk", |
| "km", |
| "kn", |
| "ko", |
| "ku", |
| "ky", |
| "la", |
| "lg", |
| "li", |
| "ln", |
| "lo", |
| "lt", |
| "lv", |
| "mg", |
| "mk", |
| "ml", |
| "mn", |
| "mr", |
| "ms", |
| "my", |
| "my_zaw", |
| "ne", |
| "nl", |
| "no", |
| "ns", |
| "om", |
| "or", |
| "pa", |
| "pl", |
| "ps", |
| "pt", |
| "qu", |
| "rm", |
| "ro", |
| "ru", |
| "sa", |
| "sc", |
| "sd", |
| "si", |
| "sk", |
| "sl", |
| "so", |
| "sq", |
| "sr", |
| "ss", |
| "su", |
| "sv", |
| "sw", |
| "ta", |
| "ta_rom", |
| "te", |
| "te_rom", |
| "th", |
| "tl", |
| "tn", |
| "tr", |
| "ug", |
| "uk", |
| "ur", |
| "ur_rom", |
| "uz", |
| "vi", |
| "wo", |
| "xh", |
| "yi", |
| "yo", |
| "zh-Hans", |
| "zh-Hant", |
| "zu", |
| ] |
|
|
|
|
| class Cc100Config(datasets.BuilderConfig): |
| def __init__(self, *args, lang=None, **kwargs): |
| super().__init__( |
| *args, |
| name=f"{lang}", |
| **kwargs, |
| ) |
| self.lang = lang |
|
|
|
|
| class Cc100(datasets.GeneratorBasedBuilder): |
| BUILDER_CONFIGS = [ |
| Cc100Config( |
| lang=lang, |
| description=f"Language: {lang}", |
| version=datasets.Version(_VERSION), |
| ) |
| for lang in _LANGUAGES |
| ] |
| BUILDER_CONFIG_CLASS = Cc100Config |
|
|
| def _info(self): |
| return datasets.DatasetInfo( |
| description=_DESCRIPTION, |
| features=datasets.Features( |
| { |
| "id": datasets.Value("string"), |
| "text": datasets.Value("string"), |
| }, |
| ), |
| supervised_keys=None, |
| homepage=_HOMEPAGE_URL, |
| citation=_CITATION, |
| ) |
|
|
| def _split_generators(self, dl_manager): |
| def _base_url(lang): |
| return _BASE_URL.format(lang) |
|
|
| download_url = _base_url(self.config.lang) |
| path = dl_manager.download_and_extract(download_url) |
| return [ |
| datasets.SplitGenerator( |
| name=datasets.Split.TRAIN, |
| gen_kwargs={"datapath": path}, |
| ) |
| ] |
|
|
| def _generate_examples(self, datapath): |
| with open(datapath, encoding="utf-8") as f: |
| for sentence_counter, row in enumerate(f): |
| result = ( |
| sentence_counter, |
| { |
| "id": str(sentence_counter), |
| "text": row, |
| }, |
| ) |
| yield result |
|
|
