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90 episodes · 30 fps

first_task_short (TsFile)

Apache TsFile version of pietroom/first_task_short.

Overview

This dataset is a LeRobot v2.1 dataset of an SO-100 arm (a short first-task recording).

  • Robot: SO-100 (so100)
  • Scale: 90 episodes, 53,830 frames, 30 fps
  • Split: train
  • Cameras (not uploaded): laptop, phone

Schema (TsFile structure)

The TsFile table is named first_task_short.

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/first_task_short.tsfile") as reader:
    print(reader.get_all_table_schemas()["first_task_short"])

Source & license

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