THULab/160-LegoBot-lego_pixelart_stage_2_v1
160_legobot_lego_pixelart_stage_2_v1 This dataset was converted from LeRobot-worldwide-hackathon/160-LegoBot-lego_pixelart_stage_2_v1 to Apache TsFile format. Dataset Description The original dataset is a LeRobot-format robot dataset for a LegoBot pixel-art stage task. Modalities: Time-series. The original dataset also includes video streams. Robot type: so100_follower_bimanual Codebase version: LeRobot v2.1 Recording frequency: 30 Hz Split: train (0:53) Scale:… See the full description on the dataset page: https://huggingface.co/datasets/THULab/160-LegoBot-lego_pixelart_stage_2_v1.
160legobotlegopixelartstage2v1
This dataset was converted from `LeRobot-worldwide-hackathon/160-LegoBot-lego_pixelart_stage_2_v1` to Apache TsFile format.
Dataset Description
The original dataset is a LeRobot-format robot dataset for a LegoBot pixel-art stage task.
- Modalities: Time-series. The original dataset also includes video streams.
- Robot type:
so100_follower_bimanual - Codebase version: LeRobot
v2.1 - Recording frequency: 30 Hz
- Split: train (
0:53) - Scale: 53 episodes, 31,157 frames, 1 task, and 159 source videos
- Source data path:
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet - Source video path:
videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4
Task:
task_index=0:Place the cube on the grid
Source Dataset
- Original dataset: `LeRobot-worldwide-hackathon/160-LegoBot-lego_pixelart_stage_2_v1`
- Authors: LeRobot-worldwide-hackathon
- License:
apache-2.0
TsFile Conversion
The numeric robot state/action/time/task data was converted into one TsFile:
data/160_legobot_lego_pixelart_stage_2_v1.tsfileConversion details:
- All 53 source episodes are stored in one TsFile table named
160_legobot_lego_pixelart_stage_2_v1. episode_indexandtask_indexare TsFile TAG columns. Query a single episode withWHERE episode_index=N.Time = round(timestamp * 1000)in milliseconds. The sourcetimestampcolumn is not retained because it equalsTime / 1000seconds.frame_indexis kept. Sourceindexis renamed tosample_index.- Vector columns are flattened by preserving the source column name, replacing
.with_, and appending the element index. - Values from flattened vector columns are stored as single-precision FLOAT.
- The converted TsFile contains 31,157 rows and 29 columns including
Time, TAG columns, and FIELD measurements.
Flattened vector features:
observation.state[12]->observation_state_0..observation_state_11action[12]->action_0..action_11
Schema roles:
- TIME:
Timein milliseconds. - TAG:
episode_index,task_index. - FIELD:
frame_index,sample_index, and the flattened robot observation/action measurements.
Dropped or omitted source fields:
timestampis dropped because it is represented byTime.observation.images.top,observation.images.wrist_blue, andobservation.images.wrist_whiteare video features and are not converted into TsFile columns.- MP4 videos are not included in this repository. They remain in the original dataset under `videos/`.
The mirrored meta/info.json records the original video path and includes a tsfile_conversion section describing the converted schema, row count, TAG columns, dropped timestamp column, omitted video features, and time mapping.
Read Example
from tsfile import TsFileReader
path = "data/160_legobot_lego_pixelart_stage_2_v1.tsfile"
reader = TsFileReader(path)
table = reader.get_all_table_schemas()["160_legobot_lego_pixelart_stage_2_v1"]
columns = [c.get_column_name() for c in table.get_columns()]
print(columns[:10])