Datasets:
SO100 First Gripper Test TsFile
This is a TsFile edition of BobBobbson/so100_First_Gripper_Test, a LeRobot v2.1
SO100 robot dataset containing numeric trajectories, timing, and episode/task
tags. Camera videos remain in the original Hugging Face repository.
Source and Attribution
- Original dataset:
BobBobbson/so100_First_Gripper_Test - Creator, repository owner, uploader, and commit author: BobBobbson
- License: Apache-2.0
- Task: "Pick up cube and place in grey container, use gripper visualisation feed."
- Robot:
so100; LeRobot version:v2.1 - Split and frequency:
train, 30 fps - Scale: 30 episodes, 28,889 frames, 1 task, 30 Parquet shards
- Source layout:
data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet - The source card provides no paper, homepage, or completed citation.
TsFile Data
- Path:
data/bobbobbson_so100_first_gripper_test.tsfile - Table:
bobbobbson_so100_first_gripper_test - Rows: 28,889; episodes/devices: 30; tasks: 1
- Time precision: milliseconds
Schema and Mapping
Time = round(timestamp * 1000) milliseconds. Time starts at zero and is
strictly increasing in every episode. The source timestamp is omitted because
it is recoverable as Time / 1000 seconds.
| TsFile column | Role | Type | Source mapping |
|---|---|---|---|
Time |
TIME | TIMESTAMP | round(timestamp * 1000) ms |
episode_index |
TAG | STRING | Original INT64 episode index |
task_index |
TAG | STRING | Original INT64 task index |
frame_index |
FIELD | INT64 | Preserved |
sample_index |
FIELD | INT64 | Renamed from index |
action_0 ... action_5 |
FIELD | FLOAT | Flattened from action[6] |
observation_state_0 ... observation_state_5 |
FIELD | FLOAT | Flattened from observation.state[6] |
The vector order is main_shoulder_pan, main_shoulder_lift,
main_elbow_flex, main_wrist_flex, main_wrist_roll, and main_gripper.
No numeric row, episode, task, action dimension, or state dimension is dropped.
Videos
Videos are not included here. The 90 original AV1 MP4 files are 640x360 at 30 fps with no audio, with 30 episode files in each stream:
The source layout is
videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4.
Use episode_index and frame_index to align numeric rows with video frames.
Minimal Read Example
from tsfile import TsFileReader
reader = TsFileReader("data/bobbobbson_so100_first_gripper_test.tsfile")
with reader.query_table(
"bobbobbson_so100_first_gripper_test",
["episode_index", "task_index", "frame_index", "sample_index",
"action_0", "observation_state_0"],
batch_size=65536,
) as result:
batch = result.read_arrow_batch()
print(batch.to_pandas().head())
reader.close()
Citation
The source card supplies no paper or completed citation. Cite the original Hugging Face dataset and BobBobbson when using this edition.
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