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from glob import glob |
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import json |
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import os |
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from pathlib import Path |
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import datasets |
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_URLS = { |
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"music_comment": "data/music.jsonl", |
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} |
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_CITATION = """\ |
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@dataset{music_comment, |
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author = {Xing Tian}, |
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title = {music_comment}, |
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month = sep, |
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year = 2023, |
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publisher = {Xing Tian}, |
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version = {1.0}, |
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} |
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""" |
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class MusicComment(datasets.GeneratorBasedBuilder): |
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VERSION = datasets.Version("1.0.0") |
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configs = list() |
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for name in _URLS.keys(): |
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config = datasets.BuilderConfig(name=name, version=VERSION, description=name) |
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configs.append(config) |
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BUILDER_CONFIGS = [ |
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*configs |
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] |
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def _info(self): |
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features = datasets.Features({ |
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"singer_name": datasets.Sequence(datasets.Value("string")), |
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"song_name": datasets.Value("string"), |
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"subtitle": datasets.Value("string"), |
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"album_name": datasets.Value("string"), |
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"singer_id": datasets.Sequence(datasets.Value("int32")), |
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"singer_mid": datasets.Sequence(datasets.Value("string")), |
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"song_time_public": datasets.Value("string"), |
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"song_type": datasets.Value("int32"), |
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"language": datasets.Value("int32"), |
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"song_id": datasets.Value("int32"), |
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"song_mid": datasets.Value("string"), |
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"song_url": datasets.Value("string"), |
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"hot_comments": datasets.Sequence(feature=datasets.Features({ |
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"comment_name": datasets.Value("string"), |
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"comment_text": datasets.Value("string"), |
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})), |
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"lyric": datasets.Value("string"), |
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}) |
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return datasets.DatasetInfo( |
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features=features, |
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supervised_keys=None, |
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homepage="", |
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license="", |
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citation=_CITATION, |
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) |
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def _split_generators(self, dl_manager): |
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"""Returns SplitGenerators.""" |
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url = _URLS[self.config.name] |
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dl_path = dl_manager.download(url) |
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archive_path = dl_path |
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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={"archive_path": archive_path, "split": "train"}, |
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), |
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] |
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def _generate_examples(self, archive_path, split): |
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"""Yields examples.""" |
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archive_path = Path(archive_path) |
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idx = 0 |
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with open(archive_path, "r", encoding="utf-8") as f: |
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for row in f: |
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sample = json.loads(row) |
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hot_comments = sample["hot_comments"] |
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if isinstance(hot_comments, str): |
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continue |
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yield idx, { |
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k: sample.get(k, None) for k in self._info().features.keys() |
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} |
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idx += 1 |
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if __name__ == '__main__': |
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pass |
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