THULab/rice-cooker_step_3

rice_cooker_step_3

Converted Apache TsFile version of villekuosmanen/rice-cooker_step_3, a LeRobot v2.1 ARX5 robot dataset.

Source Dataset

• Original dataset: villekuosmanen/rice-cooker_step_3
• License: apache-2.0
• Robot type: arx5
• Task: close the rice cooker by pressing the lid down with medium force
• Source split: train
• Source scale from meta/info.json: 100 episodes, 53,492 frames, 1 task, 200 videos, 50 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/rice_cooker_step_3.tsfile
• Table name: rice_cooker_step_3
• Rows: 53,492
• Time precision: milliseconds
• TAG columns: episode_index, task_index
• FIELD columns: frame_index, sample_index, observation_state_0 through observation_state_6, and action_0 through action_6

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 _: observation.state[7] becomes observation_state_0..observation_state_6, and action[7] becomes action_0..action_6.
• 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/rice_cooker_step_3.tsfile