Datasets:
Restore dataset card and add timeseries modality tag
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README.md
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---
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license: mit
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task_categories:
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- robotics
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tags:
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pretty_name: aloha_sim_transfer_cube_human
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---
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# aloha_sim_transfer_cube_human (TsFile)
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Apache TsFile version of the LeRobot dataset
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[`lerobot/aloha_sim_transfer_cube_human`](https://huggingface.co/datasets/lerobot/aloha_sim_transfer_cube_human).
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## Overview
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ALOHA simulated bimanual transfer-cube manipulation demonstrations.
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- **Robot:** ALOHA (simulated)
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- **Episodes:** 50
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- **Frames:** 20,000
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- **Sampling rate:** 50 fps
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- **Tasks:** 1
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## Schema (TsFile structure)
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- **Time** (INT64, milliseconds) — `round(timestamp * 1000)`, restarting per episode.
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- **episode_index / task_index** (TAG) — the device dimension. Query a single episode with
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`WHERE episode_index=N`.
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- **FIELD** — `frame_index`, `sample_index`, and the flattened state/action vectors
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(`observation_state_0..13`, `action_0..13`) as single-precision FLOAT.
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The robot's camera video streams are time-series-irrelevant and **not uploaded** to this repository;
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get them from the original dataset (its `videos/` directory). The source `meta/` is mirrored here.
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## Usage
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Read the `.tsfile` files with the Apache TsFile Java or Python SDK.
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## Source & license
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- Original dataset: [`lerobot/aloha_sim_transfer_cube_human`](https://huggingface.co/datasets/lerobot/aloha_sim_transfer_cube_human)
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- Author / publisher: LeRobot team / ALOHA
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- Paper: arXiv:2304.13705
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- License: mit
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---
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license: mit
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task_categories:
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- robotics
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tags:
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- timeseries
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- tsfile
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- time-series
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- robotics
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- LeRobot
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pretty_name: aloha_sim_transfer_cube_human
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---
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# aloha_sim_transfer_cube_human (TsFile)
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Apache TsFile version of the LeRobot dataset
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[`lerobot/aloha_sim_transfer_cube_human`](https://huggingface.co/datasets/lerobot/aloha_sim_transfer_cube_human).
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## Overview
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ALOHA simulated bimanual transfer-cube manipulation demonstrations.
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- **Robot:** ALOHA (simulated)
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- **Episodes:** 50
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- **Frames:** 20,000
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- **Sampling rate:** 50 fps
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- **Tasks:** 1
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## Schema (TsFile structure)
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- **Time** (INT64, milliseconds) — `round(timestamp * 1000)`, restarting per episode.
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- **episode_index / task_index** (TAG) — the device dimension. Query a single episode with
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`WHERE episode_index=N`.
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- **FIELD** — `frame_index`, `sample_index`, and the flattened state/action vectors
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(`observation_state_0..13`, `action_0..13`) as single-precision FLOAT.
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+
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The robot's camera video streams are time-series-irrelevant and **not uploaded** to this repository;
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get them from the original dataset (its `videos/` directory). The source `meta/` is mirrored here.
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## Usage
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Read the `.tsfile` files with the Apache TsFile Java or Python SDK.
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## Source & license
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- Original dataset: [`lerobot/aloha_sim_transfer_cube_human`](https://huggingface.co/datasets/lerobot/aloha_sim_transfer_cube_human)
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- Author / publisher: LeRobot team / ALOHA
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- Paper: arXiv:2304.13705
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- License: mit
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