| """mC4 dataset based on Common Crawl.""" | |
| import gzip | |
| import json | |
| import datasets | |
| logger = datasets.logging.get_logger(__name__) | |
| _DESCRIPTION = """\ | |
| A colossal, cleaned version of Common Crawl's web crawl corpus. | |
| Based on Common Crawl dataset: "https://commoncrawl.org". | |
| This is the processed version of Google's mC4 dataset by AllenAI. | |
| """ | |
| _CITATION = """ | |
| @article{2019t5, | |
| author = {Colin Raffel and Noam Shazeer and Adam Roberts and Katherine Lee and Sharan Narang and Michael Matena and Yanqi Zhou and Wei Li and Peter J. Liu}, | |
| title = {Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer}, | |
| journal = {arXiv e-prints}, | |
| year = {2019}, | |
| archivePrefix = {arXiv}, | |
| eprint = {1910.10683}, | |
| } | |
| """ | |
| _URL = "https://github.com/allenai/allennlp/discussions/5056" | |
| _DATA_URL = "https://huggingface.co/datasets/allenai/c4/resolve/1ddc917116b730e1859edef32896ec5c16be51d0/multilingual/c4-{language}{split_suffix}.tfrecord-{index:05d}-of-{n_shards:05d}.json.gz" | |
| _LANGUAGES = [ | |
| "af", | |
| "am", | |
| "ar", | |
| "az", | |
| "be", | |
| "bg", | |
| "bg-Latn", | |
| "bn", | |
| "ca", | |
| "ceb", | |
| "co", | |
| "cs", | |
| "cy", | |
| "da", | |
| "de", | |
| "el", | |
| "el-Latn", | |
| "en", | |
| "eo", | |
| "es", | |
| "et", | |
| "eu", | |
| "fa", | |
| "fi", | |
| "fil", | |
| "fr", | |
| "fy", | |
| "ga", | |
| "gd", | |
| "gl", | |
| "gu", | |
| "ha", | |
| "haw", | |
| "hi", | |
| "hi-Latn", | |
| "hmn", | |
| "ht", | |
| "hu", | |
| "hy", | |
| "id", | |
| "ig", | |
| "is", | |
| "it", | |
| "iw", | |
| "ja", | |
| "ja-Latn", | |
| "jv", | |
| "ka", | |
| "kk", | |
| "km", | |
| "kn", | |
| "ko", | |
| "ku", | |
| "ky", | |
| "la", | |
| "lb", | |
| "lo", | |
| "lt", | |
| "lv", | |
| "mg", | |
| "mi", | |
| "mk", | |
| "ml", | |
| "mn", | |
| "mr", | |
| "ms", | |
| "mt", | |
| "my", | |
| "ne", | |
| "nl", | |
| "no", | |
| "ny", | |
| "pa", | |
| "pl", | |
| "ps", | |
| "pt", | |
| "ro", | |
| "ru", | |
| "ru-Latn", | |
| "sd", | |
| "si", | |
| "sk", | |
| "sl", | |
| "sm", | |
| "sn", | |
| "so", | |
| "sq", | |
| "sr", | |
| "st", | |
| "su", | |
| "sv", | |
| "sw", | |
| "ta", | |
| "te", | |
| "tg", | |
| "th", | |
| "tr", | |
| "uk", | |
| "und", | |
| "ur", | |
| "uz", | |
| "vi", | |
| "xh", | |
| "yi", | |
| "yo", | |
| "zh", | |
| "zh-Latn", | |
| "zu", | |
| ] | |
| _N_SHARDS_PER_SPLIT = { | |
| "af": {"train": 64, "validation": 1}, | |
| "am": {"train": 16, "validation": 1}, | |
| "ar": {"train": 1024, "validation": 4}, | |
| "az": {"train": 256, "validation": 1}, | |
| "be": {"train": 128, "validation": 1}, | |
| "bg": {"train": 1024, "validation": 1}, | |
| "bg-Latn": {"train": 4, "validation": 1}, | |
| "bn": {"train": 512, "validation": 1}, | |
| "ca": {"train": 512, "validation": 1}, | |
| "ceb": {"train": 8, "validation": 1}, | |
| "co": {"train": 8, "validation": 1}, | |
| "cs": {"train": 1024, "validation": 2}, | |
| "cy": {"train": 256, "validation": 1}, | |
| "da": {"train": 1024, "validation": 1}, | |
| "de": {"train": 2048, "validation": 16}, | |
| "el": {"train": 1024, "validation": 2}, | |
| "el-Latn": {"train": 16, "validation": 1}, | |
| "en": {"train": 11264, "validation": 128}, | |
| "eo": {"train": 32, "validation": 1}, | |
| "es": {"train": 2048, "validation": 16}, | |
| "et": {"train": 256, "validation": 1}, | |
| "eu": {"train": 64, "validation": 1}, | |
| "fa": {"train": 1024, "validation": 2}, | |
| "fi": {"train": 1024, "validation": 1}, | |
| "fil": {"train": 64, "validation": 1}, | |
| "fr": {"train": 2048, "validation": 16}, | |
| "fy": {"train": 16, "validation": 1}, | |
| "ga": {"train": 16, "validation": 1}, | |
| "gd": {"train": 16, "validation": 1}, | |
| "gl": {"train": 128, "validation": 1}, | |
| "gu": {"train": 64, "validation": 1}, | |
| "ha": {"train": 8, "validation": 1}, | |
| "haw": {"train": 2, "validation": 1}, | |
| "hi": {"train": 1024, "validation": 2}, | |
| "hi-Latn": {"train": 16, "validation": 1}, | |
| "hmn": {"train": 8, "validation": 1}, | |
| "ht": {"train": 8, "validation": 1}, | |
| "hu": {"train": 1024, "validation": 2}, | |
| "hy": {"train": 128, "validation": 1}, | |
| "id": {"train": 1024, "validation": 4}, | |
| "ig": {"train": 4, "validation": 1}, | |
| "is": {"train": 128, "validation": 1}, | |
| "it": {"train": 1024, "validation": 8}, | |
| "iw": {"train": 1024, "validation": 1}, | |
| "ja": {"train": 1024, "validation": 8}, | |
| "ja-Latn": {"train": 8, "validation": 1}, | |
| "jv": {"train": 8, "validation": 1}, | |
| "ka": {"train": 256, "validation": 1}, | |
| "kk": {"train": 256, "validation": 1}, | |
| "km": {"train": 64, "validation": 1}, | |
| "kn": {"train": 64, "validation": 1}, | |
| "ko": {"train": 1024, "validation": 1}, | |
| "ku": {"train": 16, "validation": 1}, | |
| "ky": {"train": 64, "validation": 1}, | |
| "la": {"train": 64, "validation": 1}, | |
| "lb": {"train": 32, "validation": 1}, | |
| "lo": {"train": 8, "validation": 1}, | |
| "lt": {"train": 512, "validation": 1}, | |
| "lv": {"train": 256, "validation": 1}, | |
| "mg": {"train": 8, "validation": 1}, | |
| "mi": {"train": 4, "validation": 1}, | |
| "mk": {"train": 128, "validation": 1}, | |
| "ml": {"train": 128, "validation": 1}, | |
| "mn": {"train": 128, "validation": 1}, | |
| "mr": {"train": 1024, "validation": 1}, | |
| "ms": {"train": 512, "validation": 1}, | |
| "mt": {"train": 128, "validation": 1}, | |
| "my": {"train": 64, "validation": 1}, | |
| "ne": {"train": 256, "validation": 1}, | |
| "nl": {"train": 1024, "validation": 4}, | |
| "no": {"train": 1024, "validation": 1}, | |
| "ny": {"train": 4, "validation": 1}, | |
| "pa": {"train": 32, "validation": 1}, | |
| "pl": {"train": 1024, "validation": 4}, | |
| "ps": {"train": 16, "validation": 1}, | |
| "pt": {"train": 1024, "validation": 4}, | |
| "ro": {"train": 1024, "validation": 2}, | |
| "ru": {"train": 4096, "validation": 32}, | |
| "ru-Latn": {"train": 32, "validation": 1}, | |
| "sd": {"train": 64, "validation": 1}, | |
| "si": {"train": 64, "validation": 1}, | |
| "sk": {"train": 512, "validation": 1}, | |
| "sl": {"train": 256, "validation": 1}, | |
| "sm": {"train": 4, "validation": 1}, | |
| "sn": {"train": 8, "validation": 1}, | |
| "so": {"train": 64, "validation": 1}, | |
| "sq": {"train": 128, "validation": 1}, | |
| "sr": {"train": 256, "validation": 1}, | |
| "st": {"train": 2, "validation": 1}, | |
| "su": {"train": 4, "validation": 1}, | |
| "sv": {"train": 1024, "validation": 2}, | |
| "sw": {"train": 32, "validation": 1}, | |
| "ta": {"train": 256, "validation": 1}, | |
| "te": {"train": 128, "validation": 1}, | |
| "tg": {"train": 64, "validation": 1}, | |
| "th": {"train": 1024, "validation": 1}, | |
| "tr": {"train": 1024, "validation": 4}, | |
| "uk": {"train": 1024, "validation": 2}, | |
| "und": {"train": 3072, "validation": 32}, | |
| "ur": {"train": 128, "validation": 1}, | |
| "uz": {"train": 32, "validation": 1}, | |
| "vi": {"train": 1024, "validation": 4}, | |
| "xh": {"train": 2, "validation": 1}, | |
| "yi": {"train": 16, "validation": 1}, | |
| "yo": {"train": 2, "validation": 1}, | |
| "zh": {"train": 1024, "validation": 2}, | |
| "zh-Latn": {"train": 8, "validation": 1}, | |
| "zu": {"train": 8, "validation": 1}, | |
| } | |
| class Mc4Config(datasets.BuilderConfig): | |
| """BuilderConfig for mC4.""" | |
| def __init__(self, *args, languages, **kwargs): | |
| """BuilderConfig for mC4. | |
| Args: | |
| languages (:obj:`List[str]`): list of languages to load | |
| **kwargs: keyword arguments forwarded to super. | |
| """ | |
| super().__init__( | |
| *args, | |
| name="+".join(languages), | |
| **kwargs, | |
| ) | |
| self.languages = languages | |
| class Mc4(datasets.GeneratorBasedBuilder): | |
| """mC4, a colossal, cleaned version of Common Crawl's web crawl corpus.""" | |
| BUILDER_CONFIGS = [Mc4Config(languages=[lang]) for lang in _LANGUAGES] | |
| BUILDER_CONFIG_CLASS = Mc4Config | |
| def _info(self): | |
| return datasets.DatasetInfo( | |
| description=_DESCRIPTION, | |
| features=datasets.Features( | |
| { | |
| "text": datasets.Value("string"), | |
| "timestamp": datasets.Value("string"), | |
| "url": datasets.Value("string"), | |
| } | |
| ), | |
| supervised_keys=None, | |
| homepage=_URL, | |
| citation=_CITATION, | |
| ) | |
| def _split_generators(self, dl_manager): | |
| data_urls = {} | |
| for split in ["train", "validation"]: | |
| data_urls[split] = [ | |
| _DATA_URL.format( | |
| language=self.config.name, | |
| split_suffix="-validation" if split == "validation" else "", | |
| index=index, | |
| n_shards=_N_SHARDS_PER_SPLIT[lang][split], | |
| ) | |
| for lang in self.config.languages | |
| for index in range(_N_SHARDS_PER_SPLIT[lang][split]) | |
| ] | |
| train_downloaded_files = dl_manager.download(data_urls["train"]) | |
| validation_downloaded_files = dl_manager.download(data_urls["validation"]) | |
| return [ | |
| datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepaths": train_downloaded_files}), | |
| datasets.SplitGenerator( | |
| name=datasets.Split.VALIDATION, gen_kwargs={"filepaths": validation_downloaded_files} | |
| ), | |
| ] | |
| def _generate_examples(self, filepaths): | |
| """This function returns the examples in the raw (text) form by iterating on all the files.""" | |
| id_ = 0 | |
| for filepath in filepaths: | |
| logger.info("generating examples from = %s", filepath) | |
| with gzip.open(open(filepath, "rb"), "rt", encoding="utf-8") as f: | |
| for line in f: | |
| if line: | |
| example = json.loads(line) | |
| yield id_, example | |
| id_ += 1 | |