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"""Goodwiki Long Subset.""" |
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import json |
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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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_DESCRIPTION = """\ |
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Dataset consisting of long wikipedia articles in markdown format. |
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""" |
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_URLS = { |
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"train": [ |
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"train/partition_0.jsonl", |
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], |
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"test": [ |
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"test/partition_0.jsonl", |
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] |
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} |
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class GoodWikiLongToyDatasetConfig(datasets.BuilderConfig): |
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"""BuilderConfig for Dataset.""" |
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def __init__(self, **kwargs): |
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"""BuilderConfig for Dataset. |
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Args: |
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**kwargs: keyword arguments forwarded to super. |
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""" |
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super(GoodWikiLongToyDatasetConfig, self).__init__(**kwargs) |
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@property |
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def features(self): |
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return { |
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"id": datasets.Value("string"), |
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"url": datasets.Value("null"), |
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"title": datasets.Value("string"), |
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"text": datasets.Value("string"), |
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"revid": datasets.Value("string"), |
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"description": datasets.Value("string"), |
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"categories": datasets.Sequence(datasets.Value("string")), |
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} |
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class GoodWikiLongToyDataset(datasets.GeneratorBasedBuilder): |
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"""WikiLongDataset Classification dataset. Version 1.0.""" |
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BUILDER_CONFIGS = [ |
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GoodWikiLongToyDatasetConfig( |
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version=datasets.Version("1.0.0", ""), description="Goodwiki Long Articles" |
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) |
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] |
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BUILDER_CONFIG_CLASS = GoodWikiLongToyDatasetConfig |
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def _info(self): |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=datasets.Features(self.config.features), |
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) |
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def _split_generators(self, dl_manager): |
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data_dir = dl_manager.download_and_extract(_URLS) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_dir["train"]} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, gen_kwargs={"filepath": data_dir["test"]} |
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), |
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] |
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def _generate_examples(self, filepath): |
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"""This function returns the examples in the raw (text) form.""" |
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logger.info("generating examples from = %s", filepath) |
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if isinstance(filepath, str): |
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filepath = [filepath] |
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key = 0 |
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for path in filepath: |
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with open(path, encoding="utf-8") as data: |
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for article_data in data: |
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article = json.loads(article_data) |
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article["text"] = "# " + article["title"] + "\n\n" + article.pop("text") |
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yield key, article |
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key += 1 |
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