Datasets:

Episodes Preview LeRobot Visualizer
12 episodes · 30 fps

public_demo (TsFile)

Apache TsFile version of brandonyang/public-demo.

Overview

This dataset is a LeRobot v3.0 public demo recorded with a UMI gripper.

  • Robot: UMI gripper
  • Scale: 12 episodes, 11,516 frames, 30 fps
  • Split: train
  • Cameras (not uploaded): umi1, umi2

Schema (TsFile structure)

The TsFile table is named public_demo.

Role Columns
Time Time, INT64 milliseconds
TAG episode_index, task_index
FIELD frame_index, sample_index
FIELD observation_state_0 … observation_state_13, FLOAT
FIELD action_0 … action_11, FLOAT

Vector columns are flattened into scalar FLOAT measurements (single precision). The source index column is retained as sample_index.

Conversion notes

  • Time = round(timestamp * 1000) with millisecond precision; time restarts inside each episode, while episode_index and task_index identify the TsFile device.
  • The original timestamp field is omitted because it is exactly represented by Time / 1000.
  • Camera video streams are NOT included in this repository; they remain in the source videos tree.
  • meta/ is mirrored from the source. Aside from the redundant timestamp column and the excluded videos, no source rows or numeric fields are dropped.

Read example

from tsfile import TsFileReader

with TsFileReader("data/public_demo.tsfile") as reader:
    print(reader.get_all_table_schemas()["public_demo"])

Source & license

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