chess_game_009_white

Converted Apache TsFile version of Chojins/chess_game_009_white, a LeRobot v2.1 SO100 robot chess dataset.

Source Dataset

• Original dataset: Chojins/chess_game_009_white
• License: apache-2.0
• Robot type: so100
• Task: Move the blue chess pieces as indicated by the highlighted squares
• Source split: train
• Source scale from meta/info.json: 342 episodes, 140,709 frames, 1 task, 684 videos, 30 fps
• Modalities: Time-series. The source repository also contains videos, but this converted repository stores only numeric robot state/action time-series data and metadata.

TsFile Layout

• Data file: data/chess_game_009_white.tsfile
• Table name: chess_game_009_white
• Rows: 140,709
• Time precision: milliseconds
• TAG columns: episode_index, task_index
• FIELD columns: frame_index, sample_index, action_0 through action_5, and observation_state_0 through observation_state_5

The converted table uses the original LeRobot episode_index and task_index columns as TsFile TAG columns. Query one episode by filtering on episode_index.

Conversion Notes

• Converted with the generic lerobot converter in the huggingface_to_tsfile pipeline.
• Time = round(timestamp * 1000) in milliseconds and restarts per episode.
• The source timestamp column is not retained as a separate FIELD because it is redundant with Time / 1000.
• The source index column is renamed to sample_index.
• Vector columns are flattened while preserving the full source column name with . replaced by _: action[6] becomes action_0..action_5, and observation.state[6] becomes observation_state_0..observation_state_5.
• Numeric arrays are stored as single-precision FLOAT fields.
• Source videos are not uploaded here. They remain in the original dataset under videos/.
• meta/ is mirrored from the source except that meta/info.json describes the converted TsFile artifact and records the original video path separately.

Read Example

Use Apache TsFile tooling or SDKs to read:

data/chess_game_009_white.tsfile