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import csv |
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import datasets |
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_DESCRIPTION = "BWNS: The Bahai World News Service dataset." |
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_HOMEPAGE = "https://news.bahai.org/" |
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_URLS = { |
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"train": "./train.csv", |
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} |
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class BwnsDataset(datasets.GeneratorBasedBuilder): |
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"""BWNS: The Bahai World News Service dataset.""" |
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BUILDER_CONFIG_CLASS=datasets.BuilderConfig |
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VERSION = datasets.Version("1.1.0") |
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NAME = "BWNS" |
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BUILDER_CONFIGS = [ |
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datasets.BuilderConfig(name="original", version=VERSION, description="Original"), |
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datasets.BuilderConfig(name="concat", version=VERSION, description="Title and content concatenated"), |
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] |
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DEFAULT_CONFIG_NAME = "original" |
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def _info(self): |
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if self.config.name == "original": |
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features = datasets.Features( |
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{ |
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"id": datasets.Value("int32"), |
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"date": datasets.Value("timestamp[s]"), |
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"city": datasets.Value("string"), |
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"region": datasets.Value("string"), |
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"country": datasets.Value("string"), |
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"related_articles": datasets.Sequence(datasets.Value("int32")), |
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"title": datasets.Value("string"), |
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"content": datasets.Value("string"), |
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"latitude": datasets.Value("string"), |
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"longitude": datasets.Value("string"), |
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} |
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) |
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elif self.config.name == "concat": |
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features = datasets.Features( |
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{ |
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"id": datasets.Value("int32"), |
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"date": datasets.Value("timestamp[s]"), |
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"city": datasets.Value("string"), |
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"region": datasets.Value("string"), |
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"country": datasets.Value("string"), |
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"related_articles": datasets.Sequence(datasets.Value("int32")), |
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"title": datasets.Value("string"), |
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"title_and_content": datasets.Value("string"), |
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"latitude": datasets.Value("string"), |
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"longitude": datasets.Value("string"), |
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} |
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) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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supervised_keys=None, |
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homepage=_HOMEPAGE, |
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) |
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def _split_generators(self, dl_manager): |
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data_dirs = 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, |
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gen_kwargs={ |
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"filepath": data_dirs['train'], |
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"split": "train", |
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}, |
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), |
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] |
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def _generate_examples(self, filepath, split): |
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with open(filepath, encoding="utf-8") as f: |
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reader = csv.DictReader(f) |
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for row in reader: |
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if self.config.name == 'original': |
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yield row['id'], { |
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"id": int(row['id']), |
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"date": row['date'], |
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"city": row['city'], |
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"region": row['region'], |
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"country": row['country'], |
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"latitude": row['latitude'], |
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"longitude": row['longitude'], |
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"related_articles": [int(x) for x in row['related_articles'][1:-1].split(' ') if x], |
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"title": row['title'], |
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"content": row['content'], |
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} |
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elif self.config.name == 'concat': |
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yield row['id'], { |
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"id": int(row['id']), |
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"date": row['date'], |
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"city": row['city'], |
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"region": row['region'], |
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"country": row['country'], |
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"latitude": row['latitude'], |
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"longitude": row['longitude'], |
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"related_articles": [int(x) for x in row['related_articles'][1:-1].split(' ') if x], |
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"title": row['title'], |
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"title_and_content": f"{row['title']} {row['content']}", |
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} |
