Create load_dataset.py

load_dataset.py

@@ -0,0 +1,40 @@
+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 <key>.mp4 / <key>.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