Episodes Preview LeRobot Visualizer
206 episodes · 10 fps

pusht_subtask (TsFile)

Apache TsFile version of lerobot/pusht-subtask.

Overview

This dataset is a LeRobot v3.0 PushT dataset annotated with subtask labels (subtask_index, task_index_high_level).

  • Robot: unknown (pusht)
  • Scale: 206 episodes, 25,650 frames, 10 fps
  • Split: train
  • Cameras (not uploaded): observation.image

Schema (TsFile structure)

The TsFile table is named pusht_subtask.

Role Columns
Time Time, INT64 milliseconds
TAG episode_index, task_index
FIELD frame_index, sample_index
FIELD observation_state_0 … observation_state_1, FLOAT
FIELD action_0 … action_1, FLOAT
FIELD next_reward
FIELD next_done
FIELD next_success
FIELD subtask_index
FIELD task_index_high_level

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

Source & license

Downloads last month
40