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codebase_version
string
robot_type
string
total_episodes
int64
total_frames
int64
total_tasks
int64
total_videos
int64
total_chunks
int64
chunks_size
int64
fps
int64
splits
dict
data_path
string
features
dict
video_path_original
string
tsfile_conversion
dict
v2.1
so100
252
98,999
1
504
1
1,000
30
{ "train": "0:252" }
data/so100_base_env.tsfile
{ "Time": { "dtype": "int64", "shape": [ 1 ], "tsfile_role": "TIME", "unit": "ms" }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "tsfile_role": "TAG" }, "task_index": { "dtype": "int64", "shape": [ 1 ], "tsfile_role": "TAG" }, ...
videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4
{ "source_dataset": "shreyasgite/so100_base_env", "source_data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "converted_data_path": "data/so100_base_env.tsfile", "table_name": "so100_base_env", "granularity": "merged", "time_precision": "ms", "time_mapping": { "source": ...

SO-100 Base Environment (TsFile)

Apache TsFile version of shreyasgite/so100_base_env.

Overview

A LeRobot teleoperation dataset recorded on an SO-100 arm performing a Lego pick-and-place task: "Grasp a lego block and put it in the bin." Each episode captures the synchronized robot joint state and commanded action at every control step.

  • Robot: so100 (6-DoF arm: shoulder pan/lift, elbow flex, wrist flex/roll, gripper).
  • Episodes: 252 (single train split).
  • Frames: 98,999 total.
  • Sampling rate: 30 fps.
  • Tasks: 1 — "Grasp a lego block and put it in the bin".

Schema (TsFile structure)

  • Time (INT64, milliseconds) — per-frame timestamp, restarts at 0 each episode (round(timestamp * 1000)).
  • episode_index (TAG) — episode id; query one episode with WHERE episode_index=0.
  • task_index (TAG) — task id (always 0 here).
  • frame_index (FIELD, INT64) — frame number within the episode.
  • sample_index (FIELD, INT64) — global sample index (the source index column).
  • action_0 … action_5 (FIELD, FLOAT) — commanded joint positions (shoulder_pan, shoulder_lift, elbow_flex, wrist_flex, wrist_roll, gripper).
  • observation_state_0 … observation_state_5 (FIELD, FLOAT) — measured joint positions, same joint order as action.

Fixed-size vector columns from the source (action, observation.state, each length 6) are flattened to single-precision FLOAT columns; . becomes _ and the element index is appended. The source timestamp column is not retained as a separate field because it equals Time / 1000 seconds.

Usage

Read the .tsfile files with the Apache TsFile Java or Python SDK.

Camera videos (observation.images.laptop, observation.images.phone) are NOT included in this repository. They remain in the original dataset under videos/.

Source & license

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