bobo_jetson

Converted from ibru/bobo_jetson, a LeRobot robot dataset created with LeRobot.

Source Dataset

• Original dataset: ibru/bobo_jetson
• License: apache-2.0
• Task category: robotics
• Robot type: lekiwi
• Source metadata version: LeRobot v2.1
• Source scale: 192 episodes, 62,639 frames, 384 videos, 30 fps
• Numeric task indexes used in the parquet data: 0..4
• Modalities: Time-series

The source meta/tasks.jsonl and meta/episodes.jsonl are mirrored in this repository. The converted table preserves the numeric task_index values stored in the parquet files; textual task descriptions remain available in the mirrored metadata.

Converted Files

• TsFile table: bobo_jetson_train
• TsFile path: data/bobo_jetson_train.tsfile
• Rows: 62,639
• Episode coverage: episode indexes 0..191
• Metadata: source meta/ is mirrored in this repository, with meta/info.json updated to describe the converted TsFile artifact.

TsFile Schema

• Time: integer milliseconds, computed as round(timestamp * 1000).
• TAG columns: episode_index, task_index.
• FIELD columns: frame_index, sample_index, action_0..8, observation_state_0..8.
• Source index is renamed to sample_index.
• Source action[9] is flattened to action_0..8.
• Source observation.state[9] is flattened to observation_state_0..8.

The 9-dimensional state/action vectors use the source names: shoulder_pan, shoulder_lift, elbow_flex, wrist_flex, wrist_roll, gripper, x_mm, y_mm, and theta.

Conversion Notes

The source timestamp column is not kept as a separate field because it is represented by Time / 1000 seconds after conversion. The source video features observation.images.front and observation.images.wrist are not converted to TsFile and videos are not uploaded here; use the original dataset video tree at ibru/bobo_jetson/videos.

Task-index row distribution in the converted table:

• task_index=0: 32,826 rows
• task_index=1: 12,697 rows
• task_index=2: 4,942 rows
• task_index=3: 7,862 rows
• task_index=4: 4,312 rows

Minimal Read Example

# Read data/bobo_jetson_train.tsfile with the Apache TsFile Java or Python SDK.
# Table name: bobo_jetson_train