Datasets:

vocabtrimmer
/

mc4_validation

+"""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': {'validation': 1},
+ 'am': {'validation': 1},
+ 'ar': {'validation': 4},
+ 'az': {'validation': 1},
+ 'be': {'validation': 1},
+ 'bg': {'validation': 1},
+ 'bg-Latn': {'validation': 1},
+ 'bn': {'validation': 1},
+ 'ca': {'validation': 1},
+ 'ceb': {'validation': 1},
+ 'co': {'validation': 1},
+ 'cs': {'validation': 2},
+ 'cy': {'validation': 1},
+ 'da': {'validation': 1},
+ 'de': {'validation': 16},
+ 'el': {'validation': 2},
+ 'el-Latn': {'validation': 1},
+ 'en': {'validation': 128},
+ 'eo': {'validation': 1},
+ 'es': {'validation': 16},
+ 'et': {'validation': 1},
+ 'eu': {'validation': 1},
+ 'fa': {'validation': 2},
+ 'fi': {'validation': 1},
+ 'fil': {'validation': 1},
+ 'fr': {'validation': 16},
+ 'fy': {'validation': 1},
+ 'ga': {'validation': 1},
+ 'gd': {'validation': 1},
+ 'gl': {'validation': 1},
+ 'gu': {'validation': 1},
+ 'ha': {'validation': 1},
+ 'haw': {'validation': 1},
+ 'hi': {'validation': 2},
+ 'hi-Latn': {'validation': 1},
+ 'hmn': {'validation': 1},
+ 'ht': {'validation': 1},
+ 'hu': {'validation': 2},
+ 'hy': {'validation': 1},
+ 'id': {'validation': 4},
+ 'ig': {'validation': 1},
+ 'is': {'validation': 1},
+ 'it': {'validation': 8},
+ 'iw': {'validation': 1},
+ 'ja': {'validation': 8},
+ 'ja-Latn': {'validation': 1},
+ 'jv': {'validation': 1},
+ 'ka': {'validation': 1},
+ 'kk': {'validation': 1},
+ 'km': {'validation': 1},
+ 'kn': {'validation': 1},
+ 'ko': {'validation': 1},
+ 'ku': {'validation': 1},
+ 'ky': {'validation': 1},
+ 'la': {'validation': 1},
+ 'lb': {'validation': 1},
+ 'lo': {'validation': 1},
+ 'lt': {'validation': 1},
+ 'lv': {'validation': 1},
+ 'mg': {'validation': 1},
+ 'mi': {'validation': 1},
+ 'mk': {'validation': 1},
+ 'ml': {'validation': 1},
+ 'mn': {'validation': 1},
+ 'mr': {'validation': 1},
+ 'ms': {'validation': 1},
+ 'mt': {'validation': 1},
+ 'my': {'validation': 1},
+ 'ne': {'validation': 1},
+ 'nl': {'validation': 4},
+ 'no': {'validation': 1},
+ 'ny': {'validation': 1},
+ 'pa': {'validation': 1},
+ 'pl': {'validation': 4},
+ 'ps': {'validation': 1},
+ 'pt': {'validation': 4},
+ 'ro': {'validation': 2},
+ 'ru': {'validation': 32},
+ 'ru-Latn': {'validation': 1},
+ 'sd': {'validation': 1},
+ 'si': {'validation': 1},
+ 'sk': {'validation': 1},
+ 'sl': {'validation': 1},
+ 'sm': {'validation': 1},
+ 'sn': {'validation': 1},
+ 'so': {'validation': 1},
+ 'sq': {'validation': 1},
+ 'sr': {'validation': 1},
+ 'st': {'validation': 1},
+ 'su': {'validation': 1},
+ 'sv': {'validation': 2},
+ 'sw': {'validation': 1},
+ 'ta': {'validation': 1},
+ 'te': {'validation': 1},
+ 'tg': {'validation': 1},
+ 'th': {'validation': 1},
+ 'tr': {'validation': 4},
+ 'uk': {'validation': 2},
+ 'und': {'validation': 32},
+ 'ur': {'validation': 1},
+ 'uz': {'validation': 1},
+ 'vi': {'validation': 4},
+ 'xh': {'validation': 1},
+ 'yi': {'validation': 1},
+ 'yo': {'validation': 1},
+ 'zh': {'validation': 2},
+ 'zh-Latn': {'validation': 1},
+ 'zu': {'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 ["validation"]:
+            data_urls[split] = [
+                _DATA_URL.format(
+                    language=lang,
+                    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