遇见数据集

tegara/trossen_ai_solo_ope82

收藏
Hugging Face2026-04-02 更新2026-04-12 收录
官方服务:

资源简介:

--- license: apache-2.0 task_categories: - robotics tags: - LeRobot - tutorial 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": "v2.1", "trossen_subversion": "v1.0", "robot_type": "trossen_ai_solo", "total_episodes": 10, "total_frames": 3580, "total_tasks": 1, "total_videos": 20, "total_chunks": 1, "chunks_size": 1000, "fps": 30, "splits": { "train": "0:10" }, "data_path": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "video_path": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "features": { "action": { "dtype": "float32", "shape": [ 7 ], "names": [ "main_joint_0", "main_joint_1", "main_joint_2", "main_joint_3", "main_joint_4", "main_joint_5", "main_joint_6" ] }, "observation.state": { "dtype": "float32", "shape": [ 7 ], "names": [ "main_joint_0", "main_joint_1", "main_joint_2", "main_joint_3", "main_joint_4", "main_joint_5", "main_joint_6" ] }, "observation.images.cam_main": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "has_audio": false } }, "observation.images.cam_wrist": { "dtype": "video", "shape": [ 480, 640, 3 ], "names": [ "height", "width", "channels" ], "info": { "video.fps": 30.0, "video.height": 480, "video.width": 640, "video.channels": 3, "video.codec": "av1", "video.pix_fmt": "yuv420p", "video.is_depth_map": false, "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 - 教程 配置项: - 配置名称: default 数据文件: data/*/*.parquet --- 本数据集基于[LeRobot](https://github.com/huggingface/lerobot)构建。 ## 数据集说明 - **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](meta/info.json): json { "代码库版本": "v2.1", "特罗斯森子版本": "v1.0", "机器人类型": "trossen_ai_solo", "总回合数": 10, "总帧数": 3580, "总任务数": 1, "总视频数": 20, "总分块数": 1, "分块大小": 1000, "帧率": 30, "数据划分": { "训练集": "0:10" }, "数据路径": "data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet", "视频路径": "videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4", "特征项": { "动作": { "数据类型": "float32", "形状": [ 7 ], "字段名称": [ "main_joint_0", "main_joint_1", "main_joint_2", "main_joint_3", "main_joint_4", "main_joint_5", "main_joint_6" ] }, "观测.状态": { "数据类型": "float32", "形状": [ 7 ], "字段名称": [ "main_joint_0", "main_joint_1", "main_joint_2", "main_joint_3", "main_joint_4", "main_joint_5", "main_joint_6" ] }, "观测.图像.主相机": { "数据类型": "视频", "形状": [ 480, 640, 3 ], "维度说明": [ "高度", "宽度", "通道数" ], "详细信息": { "视频帧率": 30.0, "视频高度": 480, "视频宽度": 640, "视频通道数": 3, "视频编码格式": "av1", "视频像素格式": "yuv420p", "是否为深度图": false, "是否包含音频": false } }, "观测.图像.腕部相机": { "数据类型": "视频", "形状": [ 480, 640, 3 ], "维度说明": [ "高度", "宽度", "通道数" ], "详细信息": { "视频帧率": 30.0, "视频高度": 480, "视频宽度": 640, "视频通道数": 3, "视频编码格式": "av1", "视频像素格式": "yuv420p", "是否为深度图": false, "是否包含音频": false } }, "时间戳": { "数据类型": "float32", "形状": [ 1 ], "字段名称": "无" }, "帧索引": { "数据类型": "int64", "形状": [ 1 ], "字段名称": "无" }, "回合索引": { "数据类型": "int64", "形状": [ 1 ], "字段名称": "无" }, "索引": { "数据类型": "int64", "形状": [ 1 ], "字段名称": "无" }, "任务索引": { "数据类型": "int64", "形状": [ 1 ], "字段名称": "无" } } } ## 引用 **BibTeX格式:** bibtex [需补充更多信息]

提供机构:
tegara
二维码
社区交流群
二维码
科研交流群
商业服务