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600 episodes · 30 fps

task9_close_fridge_door_0804 (TsFile)

Apache TsFile version of gistailab/task9-close-fridge-door_0804.

Overview

This dataset is a LeRobot v3.0 dataset of a MobileAI robot closing a fridge door (task 9).

  • Robot: MobileAI robot (mobileai_robot)
  • Scale: 600 episodes, 133,803 frames, 30 fps
  • Split: train
  • Cameras (not uploaded): cam_high, cam_left_wrist, cam_right_wrist

Schema (TsFile structure)

The TsFile table is named task9_close_fridge_door_0804.

Role Columns
Time Time, INT64 milliseconds
TAG episode_index, task_index
FIELD frame_index, sample_index
FIELD action_0 … action_15, FLOAT
FIELD observation_state_0 … observation_state_15, 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/task9_close_fridge_door_0804.tsfile") as reader:
    print(reader.get_all_table_schemas()["task9_close_fridge_door_0804"])

Source & license

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