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Datasets:
THULab
/
pusht_subtask

Tasks:
Robotics
Modalities:
Time-series
Size:
10K<n<100K
Tags:
LeRobot
tsfile
format:tsfile
time-series
timeseries
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metadata 
task_categories:
  - robotics
tags:
  - LeRobot
  - tsfile
  - format:tsfile
  - time-series
  - timeseries
modality:
  - tabular
  - timeseries
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/pusht_subtask.tsfile
size_categories:
  - 10K<n<100K

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