mug_hang_mp_500

该数据集是Hugging Face数据集younghyopark/mug_hang_mp_500的TsFile转换版本，属于LeRobot格式的机器人数据集，专注于时间序列模态。源数据集使用LeRobot创建，包含500个episodes和591,679个frames，涉及一个任务，帧率为50 FPS，采用Apache-2.0许可证。数据集针对双Panda机器人类型，代码库版本为v2.1。转换后的数据以TsFile格式存储，分为6个分片，总大小约为939.6 MB，包含652个标量测量字段，这些字段通过扁平化向量和矩阵特征生成。时间列以毫秒精度表示，episode_index和task_index作为TAG列，用于标识LeRobot episode和任务。数据集不包含视频数据，仅包含时间序列数值数据，适用于机器人学习和时间序列分析任务。

This dataset is a TsFile conversion version of the Hugging Face dataset younghyopark/mug_hang_mp_500, belonging to the LeRobot format robot dataset, focusing on time series modalities. The source dataset was created using LeRobot, containing 500 episodes and 591,679 frames, involving one task, with a frame rate of 50 FPS, and licensed under Apache-2.0. The dataset targets dual Panda robot types, with a codebase version of v2.1. The converted data is stored in TsFile format, divided into 6 shards, with a total size of approximately 939.6 MB, containing 652 scalar measurement fields generated by flattening vector and matrix features. The time column is represented with millisecond precision, and episode_index and task_index serve as TAG columns to identify LeRobot episodes and tasks. The dataset does not include video data, only time series numerical data, suitable for robot learning and time series analysis tasks.