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 "tsfile/tsfile_py_cpp.pyx", line 567, in tsfile.tsfile_py_cpp.tsfile_reader_new_c
              tsfile.exceptions.FileOpenError: 28: 
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 271, in _split_generators
                  scan = self._scan_metadata(all_files)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 318, in _scan_metadata
                  with self._open_reader(file) as reader:
                       ~~~~~~~~~~~~~~~~~^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/tsfile/tsfile.py", line 742, in _open_reader
                  return TsFileReader(file)
                File "tsfile/tsfile_reader.pyx", line 323, in tsfile.tsfile_reader.TsFileReaderPy.__init__
              SystemError: <class '_weakrefset.WeakSet'> returned a result with an exception set
              
              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 71, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ~~~~~~~~~~~~~~~~~~~~~~~^
                      path=dataset,
                      ^^^^^^^^^^^^^
                      config_name=config,
                      ^^^^^^^^^^^^^^^^^^^
                      token=hf_token,
                      ^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
                  info = get_dataset_config_info(
                      path,
                  ...<6 lines>...
                      **config_kwargs,
                  )
                File "/usr/local/lib/python3.14/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.

game_v4 (TsFile)

This dataset is an Apache TsFile conversion of dopaul/game_v4 at source revision 50ca31db62e1d6c9a615a7a63234ca0ef330bbd8. The source metadata identifies the data as LeRobot v2.1 trajectories from an so100_follower robot.

Dataset Summary

  • Modalities: Time-series
  • Split: train
  • Episodes: 125
  • Actual source Parquet rows and TsFile rows: 46,564
  • Source metadata total_frames: 46,936
  • Tasks: 1
  • Task: Move the chess piece from red to blue
  • Sampling rate: 30 FPS
  • Source frame files: 125 Parquet files
  • Converted files: 1 TsFile
  • Table name: game_v4_train

The current source meta/info.json declares 46,936 frames, while the 125 current episode Parquet files contain 46,564 rows. This conversion preserves all 46,564 rows that actually exist. It does not synthesize, interpolate, or otherwise invent the 372-row difference.

Data File

data/game_v4_train.tsfile

TsFile Schema

The table contains one TIME column, two TAG columns, and fourteen FIELD columns.

Column TsFile role Type Source mapping
Time TIME INT64 round(timestamp * 1000) milliseconds
episode_index TAG STRING Source episode index
task_index TAG STRING Source task index
frame_index FIELD INT64 Retained unchanged
sample_index FIELD INT64 Source index, renamed
action_0 ... action_5 FIELD FLOAT Six flattened action components
observation_state_0 ... observation_state_5 FIELD FLOAT Six flattened robot-state components

The six action and state components retain the source order: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, and gripper.pos.

Conversion Notes

  • All 125 episodes are merged into one train table. episode_index and task_index remain available as TAG columns for filtering.
  • action and observation.state were flattened into scalar FLOAT fields.
  • Source index was renamed to sample_index.
  • Source timestamp is not stored separately because it is redundant with Time / 1000 seconds.
  • No existing numeric row was removed, resampled, or interpolated.

Videos

Videos are not downloaded, converted, or uploaded in this repository. The source camera features are observation.images.context and observation.images.arm. They remain available in the original videos tree. The retained episode, frame, task, and sample indexes provide alignment with the source media.

Python SDK Example

from pathlib import Path

from tsfile import TsFileReader

path = Path("data/game_v4_train.tsfile")
table = "game_v4_train"

reader = TsFileReader(str(path))
try:
    columns = [
        "episode_index",
        "task_index",
        "frame_index",
        "action_0",
        "observation_state_0",
    ]
    with reader.query_table(table, columns, batch_size=1024) as result:
        batch = result.read_arrow_batch()
        if batch is not None:
            print(batch.to_pandas().head())
finally:
    reader.close()

Source and License

  • Source: dopaul/game_v4
  • Source repository owner: dopaul
  • License: The source repository does not publish a license. This conversion does not assert one; users should defer to the source repository for usage terms.
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