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  # Dataset Card for PRTS Post-Training Data
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- This dataset card aims to describe the PRTS Post-Training Data, which includes high-quality data for robotic manipulation tasks. The dataset encompasses both dual-arm and single-arm manipulation across a variety of tasks, including fine manipulation and long-range operations. It is curated in the **LeRobot format** to assist in the development and evaluation of robotic systems, particularly in tasks involving object manipulation and human-robot collaboration.
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  ## Dataset Details
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  ### Dataset Description
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- This dataset consists of robotic task data in the **LeRobot format**, covering various types of robotic manipulations such as dual-arm, single-arm, long-range, and fine manipulation tasks. It contains approximately 50GB of high-quality data generated from real-world robotic systems performing tasks in household, office, and industrial environments. The data includes detailed task frames including object handling, task coordination between two robotic arms, and complex manipulation actions.
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  - **Curated by:** TeleEmbodied AI Team
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Language(s) (NLP):** Not applicable (robotics tasks)
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  - **License:** MIT License
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  ### Dataset Sources [optional]
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  ### Direct Use
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  This dataset is intended for the following use cases:
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- - Dual-arm and single-arm manipulation tasks
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- - Object pick-and-place and fine manipulation tasks
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- - Long-range robotic operations and task planning
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- - Evaluating robotic coordination, object handling, and task execution in real-world environments
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  ## Dataset Structure
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  # Dataset Card for PRTS Post-Training Data
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+ This dataset card describes the **PRTS Post-Training Data**, which includes high-quality data for robotic manipulation tasks. The dataset covers both **dual-arm** and **single-arm** manipulation, including **fine manipulation** and **long-range operations**. It is curated in the **LeRobot format** to assist in the development and evaluation of robotic systems, particularly in tasks involving object manipulation across multiple environments.
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  ## Dataset Details
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  ### Dataset Description
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+ This dataset consists of robotic task data in the **LeRobot format**, covering various types of robotic manipulations such as **dual-arm**, **single-arm**, **long-range**, and **fine manipulation tasks**. It contains approximately 50GB of high-quality data collected from real-world robotic systems performing tasks in **household**, **office**, and **industrial** environments. The data includes detailed task frames including object handling, task coordination between two robotic arms, and complex manipulation actions.
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  - **Curated by:** TeleEmbodied AI Team
 
 
 
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  - **License:** MIT License
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  ### Dataset Sources [optional]
 
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  ### Direct Use
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  This dataset is intended for the following use cases:
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+ - **Dual-arm** and **single-arm** robotic manipulation tasks.
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+ - **Object pick-and-place** and **fine manipulation** tasks.
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+ - **Long-range robotic operations** and task planning.
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+ - **Evaluating robotic coordination**, object handling, and task execution in real-world environments.
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  ## Dataset Structure
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