eval_touch-coke-pi0fast-v0
收藏Hugging Face2025-06-27 更新2025-06-27 收录
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https://huggingface.co/datasets/allday-technology/eval_touch-coke-pi0fast-v0
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资源简介:
该数据集是使用LeRobot创建的,主要用于机器人技术领域。数据集包含多个特征,如动作、观察状态、来自不同摄像头的图像观察(高摄像头、低摄像头、左手腕摄像头、右手腕摄像头)、时间戳、帧索引、剧集索引等。数据集的结构信息详细列出了每个特征的数据类型、形状和名称。此外,数据集还包含元信息,如代码库版本(v2.1)、机器人类型(trossen_ai_stationary)、总剧集数(1)、总帧数(24)、总任务数(1)、总视频数(4)等。数据集的许可证为apache-2.0。
This dataset was developed using LeRobot and is primarily targeted at the field of robotics. It includes multiple features such as actions, observation states, image observations from various cameras (high camera, low camera, left wrist camera, right wrist camera), timestamps, frame indices, episode indices, and more. Detailed structural information of the dataset specifies the data type, shape, and name of each feature. Furthermore, the dataset contains meta-information including codebase version (v2.1), robot type (trossen_ai_stationary), total number of episodes (1), total number of frames (24), total number of tasks (1), total number of videos (4), and other related details. The dataset is licensed under Apache-2.0.
提供机构:
allday-technology创建时间:
2025-06-27
原始信息汇总
数据集概述
基本信息
- 许可证: apache-2.0
- 任务类别: 机器人学 (robotics)
- 标签: LeRobot
- 主页: [More Information Needed]
- 论文: [More Information Needed]
数据集结构
- 配置名称: default
- 数据文件: data//.parquet
- 元数据文件: meta/info.json
元数据详情
- 代码库版本: v2.1
- Trossen子版本: v1.0
- 机器人类型: trossen_ai_stationary
- 总情节数: 1
- 总帧数: 24
- 总任务数: 1
- 总视频数: 4
- 总块数: 1
- 块大小: 1000
- 帧率 (fps): 30
- 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
- action:
- 数据类型: float32
- 形状: [14]
- 名称: left_joint_0 到 left_joint_6, right_joint_0 到 right_joint_6
- observation.state:
- 数据类型: float32
- 形状: [14]
- 名称: 同 action
- observation.images.cam_high, cam_low, cam_left_wrist, cam_right_wrist:
- 数据类型: video
- 形状: [480, 640, 3]
- 视频信息: fps=30, height=480, width=640, channels=3, codec=av1, pix_fmt=yuv420p, is_depth_map=false, has_audio=false
- timestamp, frame_index, episode_index, index, task_index:
- 数据类型: float32 或 int64
- 形状: [1]
引用
- BibTeX: [More Information Needed]



