Datasets:

Episodes Preview SO-101 Visualizer
52 episodes · 30 fps

test_v4l2_fix (TsFile)

Apache TsFile version of devikaskumar/test_v4l2_fix.

Overview

This dataset is a LeRobot v2.1 dataset of an SO-101 follower arm (V4L2 capture test).

  • Robot: SO-101 follower (so101_follower)
  • Scale: 52 episodes, 15,702 frames, 30 fps
  • Split: train
  • Cameras (not uploaded): webcam, realsense

Schema (TsFile structure)

The TsFile table is named test_v4l2_fix.

Role Columns
Time Time, INT64 milliseconds
TAG episode_index, task_index
FIELD frame_index, sample_index
FIELD action_0 … action_5, FLOAT
FIELD observation_state_0 … observation_state_5, 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/test_v4l2_fix.tsfile") as reader:
    print(reader.get_all_table_schemas()["test_v4l2_fix"])

Source & license

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