THULab/coin_add_more

Coin Add More TsFile

This dataset is a TsFile conversion of the LeRobot dataset Jinyu220/coin_add_more. It keeps the numeric robot state, action, eye, pose, frame, episode, and task data in one TsFile table. Video files are not mirrored in this converted repository.

Source Dataset

• Original dataset: Jinyu220/coin_add_more
• Authors/organization: Jinyu220
• License: apache-2.0
• LeRobot codebase version: v2.1
• Robot type: not specified in source metadata
• Modalities: Time-series
• Source split: train: 0:100
• Scale: 100 episodes, 43,297 frames, 2 tasks, 500 videos, 1 chunk
• Sampling rate: 33 fps
• Tasks: put_coinv2; coin_add_more
• Source video streams: observation.images.left_eye_cam, observation.images.right_eye_cam, observation.images.wrist_cam_right, observation.images.overhead_cam, observation.images.worms_eye_cam
• Video format: 480x640x3, AV1, 33 fps
• Source videos: videos/

TsFile Data

• TsFile path: data/coin_add_more.tsfile
• Table name: coin_add_more
• Rows: 43,297
• Episode/task device groups: episode_index + task_index
• Mirrored metadata: meta/episodes.jsonl, meta/episodes_stats.jsonl, meta/info.json, meta/tasks.jsonl

Schema

Column	TsFile role	Type	Notes
Time	TIME	INT64	Milliseconds, computed as round(timestamp * 1000)
episode_index	TAG	INT64	Source episode identifier
task_index	TAG	INT64	Source task identifier
frame_index	FIELD	INT64	Source frame index, retained
sample_index	FIELD	INT64	Source index, renamed to avoid ambiguity
observation_state_0 ... observation_state_13	FIELD	FLOAT	Flattened source observation.state vector
action_0 ... action_13	FIELD	FLOAT	Flattened source action vector
left_eye_0 ... left_eye_1	FIELD	FLOAT	Flattened source left_eye vector
right_eye_0 ... right_eye_1	FIELD	FLOAT	Flattened source right_eye vector
right_arm_pose_0 ... right_arm_pose_15	FIELD	FLOAT	Flattened source right_arm_pose vector
middle_arm_pose_0 ... middle_arm_pose_15	FIELD	FLOAT	Flattened source middle_arm_pose vector

Conversion Notes

• Time is synthesized from the source timestamp column as integer milliseconds.
• The source timestamp column is dropped because it is redundant with Time / 1000 seconds.
• The source index column is renamed to sample_index.
• Vector columns are flattened by preserving the full source name, replacing . with _, and appending the element index.
• episode_index and task_index are stored as TsFile TAG columns, so each episode/task pair is queryable as a device grouping.
• Source videos are intentionally omitted from this upload; use the original dataset for video playback and frame alignment.
• No numeric rows were intentionally dropped during conversion.

Validation

• pipeline.py validate passed for data/coin_add_more.tsfile.
• TsFile readback reported 43,297 rows, matching the staged Parquet row count.
• Readback row distribution by task tag: task 0 has 35,324 rows, task 1 has 7,973 rows.

Minimal Read Example

# Read data/coin_add_more.tsfile with the Apache TsFile SDK.
# Query table: coin_add_more