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import gzip |
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import json |
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import os |
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import datasets |
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_BASE_URL = "https://huggingface.co/datasets/neuclir/hc4/resolve/main/data/" |
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_URLS = { |
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"fas": _BASE_URL + "fas-00000-of-00001.jsonl.gz", |
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"rus": _BASE_URL + "rus-00000-of-00001.jsonl.gz", |
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"zho": _BASE_URL + "zho-00000-of-00001.jsonl.gz", |
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} |
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class Hc4(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.2") |
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def _info(self): |
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return datasets.DatasetInfo( |
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features=datasets.Features({ |
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"id": datasets.Value("string"), |
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"cc_file": datasets.Value("string"), |
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"time": datasets.Value("string"), |
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"title": datasets.Value("string"), |
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"text": datasets.Value("string"), |
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"url": datasets.Value("string"), |
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}), |
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) |
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def _split_generators(self, dl_manager): |
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paths = dl_manager.download(_URLS) |
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return [ |
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datasets.SplitGenerator( |
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name=lang, |
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gen_kwargs={ |
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"filepath": paths[lang] |
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}) |
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for lang in _URLS |
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] |
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def _generate_examples(self, filepath): |
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with gzip.open(filepath) as f: |
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for key, row in enumerate(f): |
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data = json.loads(row) |
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yield key, data |
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