Datasets:

jzpeng
/

anubis_stack_tuna_eefpose_50_fixed

task_categories:
  - robotics
tags:
  - tsfile
  - time-series
  - robotics
  - modality:timeseries
  - library:datasets
  - library:pandas
  - library:polars
modality:
  - timeseries
pretty_name: Anubis Stack Tuna EEF Pose 50 Fixed (TsFile)
size_categories:
  - 10K<n<100K
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/anubis_stack_tuna_eefpose_50_fixed_train.tsfile

Anubis Stack Tuna EEF Pose 50 Fixed (TsFile)

Apache TsFile version of euijinrnd/anubis_stack_tuna_eefpose_50_fixed. Modalities: Time-series.

Overview

This LeRobot dataset contains 50 demonstrations for the task “Restock the tuna can,” including state, action, and quaternion action signals.

Dataset Scale

50 episodes, 11,830 frames, one task, sampled at 50 fps.
The train split contains 11,830 TsFile rows in data/anubis_stack_tuna_eefpose_50_fixed_train.tsfile.

Conversion details

Time is round(timestamp * 1000) in milliseconds. The source timestamp column is therefore not stored as a separate FIELD; frame_index is retained and source index is named sample_index. Camera videos are not included in this time-series repository and remain in the original dataset.

Schema (TsFile structure)

Time (INT64, milliseconds) is the per-episode sample time.
episode_index and task_index are TAG columns identifying the device series.
frame_index and sample_index are INT64 FIELD columns.
observation_state_0 through _19, action_0 through _22, and action_quat_0 through _18 are FLOAT FIELD columns.

For example, select one device with WHERE episode_index='0' AND task_index='0'.

Usage

Read data/anubis_stack_tuna_eefpose_50_fixed_train.tsfile with the Apache TsFile Java or Python SDK.

Source & license

Original dataset: https://huggingface.co/datasets/euijinrnd/anubis_stack_tuna_eefpose_50_fixed
Author / publisher: euijinrnd
License: not declared by the original dataset; please defer to the original.