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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`](https://huggingface.co/datasets/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](https://huggingface.co/datasets/euijinrnd/anubis_stack_tuna_eefpose_50_fixed/tree/main/videos).
## 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.
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