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import os |
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import json |
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import random |
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import datasets |
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_HOMEPAGE = f"https://www.modelscope.cn/datasets/Genius-Society/{os.path.basename(__file__)[:-3]}" |
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_URL = f"{_HOMEPAGE}/resolve/master/data/dataset.jsonl" |
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class hoyoMusic(datasets.GeneratorBasedBuilder): |
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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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{ |
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"prompt": datasets.Value("string"), |
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"data": datasets.Value("string"), |
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"label": datasets.Value("string"), |
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} |
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), |
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supervised_keys=("data", "label"), |
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homepage=_HOMEPAGE, |
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license="CC-BY-NC-ND", |
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version="0.0.1", |
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) |
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def _split_generators(self, dl_manager): |
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dataset = [] |
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data = dl_manager.download(_URL) |
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with open(data, "r", encoding="utf-8") as file: |
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for line in file: |
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dataset.append(json.loads(line)) |
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random.shuffle(dataset) |
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data_count = len(dataset) |
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p90 = int(data_count * 0.9) |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, gen_kwargs={"files": dataset[:p90]} |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, gen_kwargs={"files": dataset[p90:]} |
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), |
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] |
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def _generate_examples(self, files): |
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for i, path in enumerate(files): |
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yield i, path |
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