import io, json, tarfile import datasets _URLPATTERN = "data/{:05d}.tar" # 改成你自己的路径模式 class MyConfig(datasets.BuilderConfig): def __init__(self, **kwargs): super().__init__(**kwargs) class MyDataset(datasets.GeneratorBasedBuilder): BUILDER_CONFIGS = [MyConfig(name="default", version=datasets.Version("1.0.0"))] def _info(self): return datasets.DatasetInfo( features=datasets.Features({ "video": datasets.Video(), # mp4 -> Video() 解码 "json": datasets.Value("string"), # 整块 JSON 存成纯字符串 }), ) def _split_generators(self, dl_manager): return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={"tar_paths": [_URLPATTERN.format(i) for i in range(100)]}, ), ] def _generate_examples(self, tar_paths): idx = 0 for tar_path in tar_paths: with tarfile.open(tar_path, "r") as tar: members = {m.name: tar.extractfile(m).read() for m in tar.getmembers()} # 这里假设 .mp4 / .json;可按实际规则改 for key in set(p.split(".")[0] for p in members): mp4_bytes = io.BytesIO(members[f"{key}.mp4"]) json_str = members[f"{key}.json"].decode("utf-8") # ← 直接当字符串 yield idx, {"video": {"path": mp4_bytes, "bytes": mp4_bytes.getvalue()}, "json": json_str} idx += 1