Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
                  first_examples = list(islice(pipeline, self.NUM_EXAMPLES_FOR_FEATURES_INFERENCE))
                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 33, in _get_pipeline_from_tar
                  for filename, f in tar_iterator:
                                     ^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/track.py", line 49, in __iter__
                  for x in self.generator(*self.args):
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1380, in _iter_from_urlpath
                  yield from cls._iter_tar(f)
                File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 1331, in _iter_tar
                  stream = tarfile.open(fileobj=f, mode="r|*")
                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/tarfile.py", line 1886, in open
                  t = cls(name, filemode, stream, **kwargs)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/tarfile.py", line 1762, in __init__
                  self.firstmember = self.next()
                                     ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/tarfile.py", line 2750, in next
                  raise ReadError(str(e)) from None
              tarfile.ReadError: bad checksum
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

FastvideoWorldModel-MC

This dataset contains short Minecraft (MineDojo) episodes. Each episode is a folder with a video and optional JSON action annotations.

File layout

<dataset_root>/
  episode_<timestamp_utc>_w<worker_id>_<episode_index>_<run_name>/
    manifest.json
    video.mp4
    mg/
      mg_actions.json
    data.npz            # optional (advanced users)

video.mp4

  • H.264 (libx264)
  • FPS and resolution are recorded in manifest.json (fps, image_size_hw where image_size_hw = [H, W])
  • The video has 96 frames

mg/mg_actions.json

Per-frame action annotations (one entry per timestep).

Format:

  • Top-level: JSON object (dict)
  • Keys: "0" ... "T-1" (string timestep)
  • Value per timestep:
    • action: List[int] (raw MineDojo MultiDiscrete action vector)
    • move_action: str in { "", "W", "A", "S", "D", "WA", "WD", "SA", "SD" }
    • view_action: str in { "", "up", "down", "left", "right", "up_left", "up_right", "down_left", "down_right" }

Notes:

  • view_action is derived from the per-frame yaw/pitch delta.
  • Convention: dyaw > 0 => right; dpitch > 0 => down (common Minecraft convention).

Advanced (Pro): data.npz (optional)

Some episodes also include data.npz (created with numpy.savez_compressed). It contains per-frame aligned numpy arrays.

Keys (all aligned to the video frames; typically T = 96):

  • actions: int64, shape (T, D)
    • raw MineDojo MultiDiscrete action vector per frame
    • D matches len(manifest["action_nvec"])
  • positions: float32 (sometimes float64), shape (T, 3)
    • Minecraft world position (x, y, z)
  • yaws: float32 (sometimes float64), shape (T,)
    • camera yaw in degrees
  • pitches: float32 (sometimes float64), shape (T,)
    • camera pitch in degrees

If you only need video + mg_actions.json, you can ignore data.npz.

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