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dillonlyr04/eval_final_k50_200000

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Hugging Face2026-05-27 更新2026-05-31 收录
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https://hf-mirror.com/datasets/dillonlyr04/eval_final_k50_200000
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资源简介:
这是一个机器人学数据集,使用LeRobot工具创建,专门针对双臂机器人(bi_so100_follower)设计。数据集包含2个总episodes、853个总frames和1个总任务,数据以parquet文件格式存储,总大小为100MB,视频文件大小为200MB,帧率为30fps。数据特征包括机器人的动作(12个浮点型关节位置)、观测状态(12个浮点型关节位置)、以及来自三个视角(顶部全局、左臂、右臂)的视频观测(分辨率720x1280,3通道,H.264编码)。此外,还包含时间戳、帧索引、episode索引等元数据。数据集仅用于训练,适用于机器人控制和学习任务。

--- license: apache-2.0 task_categories: - 机器人学 tags: - LeRobot configs: - config_name: default data_files: data/*/*.parquet --- 本数据集基于[LeRobot](https://github.com/huggingface/lerobot)构建。 ## 数据集概述 - **项目主页:** [待补充更多信息] - **相关论文:** [待补充更多信息] - **许可证:** Apache-2.0 ## 数据集结构 [meta/info.json](meta/info.json): json { "codebase_version": "v3.0", "robot_type": "bi_so100_follower", "total_episodes": 2, "total_frames": 853, "total_tasks": 1, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 200, "fps": 30, "splits": { "train": "0:2" }, "data_path": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet", "video_path": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4", "features": { "action": { "dtype": "float32", "names": [ "left_shoulder_pan.pos", "left_shoulder_lift.pos", "left_elbow_flex.pos", "left_wrist_flex.pos", "left_wrist_roll.pos", "left_gripper.pos", "right_shoulder_pan.pos", "right_shoulder_lift.pos", "right_elbow_flex.pos", "right_wrist_flex.pos", "right_wrist_roll.pos", "right_gripper.pos" ], "shape": [ 12 ] }, "observation.state": { "dtype": "float32", "names": [ "left_shoulder_pan.pos", "left_shoulder_lift.pos", "left_elbow_flex.pos", "left_wrist_flex.pos", "left_wrist_roll.pos", "left_gripper.pos", "right_shoulder_pan.pos", "right_shoulder_lift.pos", "right_elbow_flex.pos", "right_wrist_flex.pos", "right_wrist_roll.pos", "right_gripper.pos" ], "shape": [ 12 ] }, "observation.images.top_global": { "dtype": "video", "shape": [ 720, 1280, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 720, "video.width": 1280, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.left_arm": { "dtype": "video", "shape": [ 720, 1280, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 720, "video.width": 1280, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.right_arm": { "dtype": "video", "shape": [ 720, 1280, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 720, "video.width": 1280, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "timestamp": { "dtype": "float32", "shape": [ 1 ], "names": null }, "frame_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "episode_index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "index": { "dtype": "int64", "shape": [ 1 ], "names": null }, "task_index": { "dtype": "int64", "shape": [ 1 ], "names": null } } } ## 引用信息 **BibTeX格式:** bibtex [More Information Needed]
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