Create unpack_data.py

unpack_data.py

@@ -0,0 +1,31 @@
+"""Example script to unpack one shard of the 1xGPT v2.0 video dataset."""
+
+import json
+import pathlib
+import subprocess
+
+import numpy as np
+
+dir_path = pathlib.Path("worldmodel/val_v2.0")
+rank = 0
+
+# load metadata.json
+metadata = json.load(open(dir_path / "metadata.json"))
+metadata_shard = json.load(open(dir_path / f"metadata_{rank}.json"))
+
+total_frames = metadata_shard["shard_num_frames"]
+
+
+maps = [
+    ("segment_idx", np.int32, []),
+    ("states", np.float32, [25]),
+]
+
+video_path = dir_path / "video_0.mp4"
+
+for m, dtype, shape in maps:
+    filename = dir_path / f"{m}_{rank}.bin"
+    print("Reading", filename, [total_frames] + shape)
+    m_out = np.memmap(filename, dtype=dtype, mode="r", shape=tuple([total_frames] + shape))
+    assert m_out.shape[0] == total_frames
+