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Vel044/so101_bottle_classification

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Hugging Face2026-04-21 更新2026-04-26 收录
下载链接:
https://hf-mirror.com/datasets/Vel044/so101_bottle_classification
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资源简介:
--- license: apache-2.0 task_categories: - robotics tags: - LeRobot configs: - config_name: default data_files: data/*/*.parquet --- This dataset was created using [LeRobot](https://github.com/huggingface/lerobot). ## Dataset Description - **Homepage:** [More Information Needed] - **Paper:** [More Information Needed] - **License:** apache-2.0 ## Dataset Structure [meta/info.json](meta/info.json): ```json { "codebase_version": "v3.0", "robot_type": "so101_follower", "total_episodes": 51, "total_frames": 36125, "total_tasks": 1, "chunks_size": 1000, "data_files_size_in_mb": 100, "video_files_size_in_mb": 500, "fps": 30, "splits": { "train": "0:51" }, "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": [ "shoulder_pan.pos", "shoulder_lift.pos", "elbow_flex.pos", "wrist_flex.pos", "wrist_roll.pos", "gripper.pos" ], "shape": [ 6 ] }, "observation.state": { "dtype": "float32", "names": [ "shoulder_pan.pos", "shoulder_lift.pos", "elbow_flex.pos", "wrist_flex.pos", "wrist_roll.pos", "gripper.pos" ], "shape": [ 6 ] }, "observation.images.handeye": { "dtype": "video", "shape": [ 360, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 360, "video.width": 640, "video.codec": "h264", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "video.fps": 30, "video.channels": 3, "has_audio": false } }, "observation.images.fixed": { "dtype": "video", "shape": [ 360, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.height": 360, "video.width": 640, "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 } } } ``` ## Citation **BibTeX:** ```bibtex [More Information Needed] ```

--- 许可证:Apache-2.0 任务类别: - 机器人学 标签: - LeRobot(LeRobot) 配置项: - 配置名称:default 数据文件:data/*/*.parquet --- 本数据集基于LeRobot(LeRobot)开发构建,项目仓库地址为[https://github.com/huggingface/lerobot](https://github.com/huggingface/lerobot)。 ## 数据集描述 - **主页:** [需补充更多信息] - **论文:** [需补充更多信息] - **许可证:** Apache-2.0 ## 数据集结构 `meta/info.json` 文件内容如下: json { "代码库版本(codebase_version)": "v3.0", "机器人类型(robot_type)": "so101_follower", "总任务回合数(total_episodes)": 51, "总帧数(total_frames)": 36125, "总任务数(total_tasks)": 1, "数据块大小(chunks_size)": 1000, "数据文件总大小(MB)(data_files_size_in_mb)": 100, "视频文件总大小(MB)(video_files_size_in_mb)": 500, "帧率(fps)": 30, "数据集划分(splits)": { "训练集(train)": "0:51" }, "数据路径格式(data_path)": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet", "视频路径格式(video_path)": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4", "数据特征(features)": { "action(动作)": { "数据类型(dtype)": "float32", "特征名称(names)": [ "shoulder_pan.pos(肩转关节位置)", "shoulder_lift.pos(肩抬关节位置)", "elbow_flex.pos(肘屈关节位置)", "wrist_flex.pos(腕屈关节位置)", "wrist_roll.pos(腕转关节位置)", "gripper.pos(夹爪位置)" ], "维度(shape)": [ 6 ] }, "observation.state(观测.状态)": { "数据类型(dtype)": "float32", "特征名称(names)": [ "shoulder_pan.pos(肩转关节位置)", "shoulder_lift.pos(肩抬关节位置)", "elbow_flex.pos(肘屈关节位置)", "wrist_flex.pos(腕屈关节位置)", "wrist_roll.pos(腕转关节位置)", "gripper.pos(夹爪位置)" ], "维度(shape)": [ 6 ] }, "observation.images.handeye(观测.图像.手眼相机)": { "数据类型(dtype)": "video(视频)", "维度(shape)": [ 360, 640, 3 ], "维度名称(names)": [ "height(高度)", "width(宽度)", "channels(通道数)" ], "详细信息(info)": { "视频高度(video.height)": 360, "视频宽度(video.width)": 640, "视频编码格式(video.codec)": "h264", "视频像素格式(video.pix_fmt)": "yuv420p", "是否为深度图(video.is_depth_map)": false, "视频帧率(video.fps)": 30, "视频通道数(video.channels)": 3, "是否含音频(has_audio)": false } }, "observation.images.fixed(观测.图像.固定相机)": { "数据类型(dtype)": "video(视频)", "维度(shape)": [ 360, 640, 3 ], "维度名称(names)": [ "height(高度)", "width(宽度)", "channels(通道数)" ], "详细信息(info)": { "视频高度(video.height)": 360, "视频宽度(video.width)": 640, "视频编码格式(video.codec)": "h264", "视频像素格式(video.pix_fmt)": "yuv420p", "是否为深度图(video.is_depth_map)": false, "视频帧率(video.fps)": 30, "视频通道数(video.channels)": 3, "是否含音频(has_audio)": false } }, "timestamp(时间戳)": { "数据类型(dtype)": "float32", "维度(shape)": [ 1 ], "特征名称(names)": null }, "frame_index(帧索引)": { "数据类型(dtype)": "int64", "维度(shape)": [ 1 ], "特征名称(names)": null }, "episode_index(任务回合索引)": { "数据类型(dtype)": "int64", "维度(shape)": [ 1 ], "特征名称(names)": null }, "index(全局索引)": { "数据类型(dtype)": "int64", "维度(shape)": [ 1 ], "特征名称(names)": null }, "task_index(任务索引)": { "数据类型(dtype)": "int64", "维度(shape)": [ 1 ], "特征名称(names)": null } } } ## 引用 **BibTeX 格式引用:** bibtex [需补充更多信息]
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