mateoguaman/language_table_blocktoblock_sim

该数据集是通过LeRobot v3.0转换Google Research的Language Table项目中的language_table_blocktoblock_sim数据集创建的。原始RLDS数据从Google Cloud存储中流式传输，转换为LeRobot v2.0格式并保留所有字段（动作、状态、效应器目标、奖励、完成、指令），然后无损视频拼接为v3.0格式。数据集包含8000个episodes，343688帧，896个任务，视频分辨率为360x640，帧率为10fps。数据集结构包括视频、状态、动作等多个特征，每个特征的数据类型、形状、帧率等信息均有详细描述。

This dataset was created using LeRobot v3.0 to convert the language_table_blocktoblock_sim dataset from the Language Table project (Google Research). The original RLDS data was streamed from Google Cloud storage, converted to LeRobot v2.0 format preserving all fields (action, state, effector target, reward, done, instruction), then restructured to v3.0 with lossless video concatenation. The dataset contains 8000 episodes, 343688 frames, 896 tasks, with video resolution of 360x640 and a frame rate of 10fps. The dataset structure includes multiple features such as video, state, action, etc., with detailed descriptions of each features data type, shape, frame rate, etc.