QUVI

Converted from seongjun-k/QUVI, a LeRobot v2.1 robot dataset created with Physical AI Tools and LeRobot.

Source Dataset

• Original dataset: seongjun-k/QUVI
• License: apache-2.0
• Task category: robotics
• Robot type: omx_f
• Task: pick (task_index=0)
• Source scale: 95 episodes, 14,263 frames, 95 videos, 30 fps
• LeRobot codebase version: v2.1
• Modalities: Time-series

Converted Files

• TsFile table: quvi_train
• TsFile path: data/quvi_train.tsfile
• Rows: 14,263
• Episode coverage: episode indexes 0..94
• 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, observation_state_0..5, action_0..5.
• Source index is renamed to sample_index.
• Source observation.state[6] is flattened to observation_state_0..5.
• Source action[6] is flattened to action_0..5.

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 feature observation.images.camera1 is not converted to TsFile and videos are not uploaded here; use the original dataset video tree at seongjun-k/QUVI/videos.

The original meta/info.json reports splits.train as 0:94, but meta/episodes.jsonl contains episode indexes 0..94 and their lengths sum to total_frames=14263. This conversion includes all 95 numeric episode parquet files and records the converted train split as 0:95.

Minimal Read Example

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