demo_src_square_task_D1_robot_Panda_gripper_PandaGripper_additionalCams
收藏Hugging Face2026-06-22 更新2026-06-22 收录
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https://huggingface.co/datasets/OliverHausdoerfer/demo_src_square_task_D1_robot_Panda_gripper_PandaGripper_additionalCams
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资源简介:
这是一个由LeRobot创建的机器人任务数据集,旨在训练机器人执行任务。数据集包含500个episodes和75802个帧,以20fps的速率录制。数据涵盖动作信息(例如由7个浮点数表示的dx、dy、dz等动作)和观察信息,包括状态、末端执行器位置、夹爪状态、关节位置,以及来自前视和侧视视角的256x256分辨率RGB视频。数据集结构设计为支持跨体机器人类型,总数据文件大小为100MB,视频文件大小为200MB,所有数据以parquet格式存储,并已分割为训练集。
This is a robotic task dataset developed by LeRobot for training robots to perform tasks. The dataset contains 500 episodes and 75,802 frames, recorded at a frame rate of 20 fps. The data includes action information (e.g., actions represented by 7 floating-point numbers such as dx, dy, dz and other related parameters) and observation information, which covers states, end-effector positions, gripper states, joint positions, as well as 256×256 resolution RGB videos captured from front-view and side-view perspectives. The dataset structure is designed to support cross-robot-type applications, with the total size of non-video data files being 100 MB and the video files totaling 200 MB. All data is stored in Parquet format and has been split into training sets.
提供机构:
OliverHausdoerfer创建时间:
2026-06-22
原始信息汇总
数据集概述
- 数据集名称: demo_src_square_task_D1_robot_Panda_gripper_PandaGripper_additionalCams
- 许可证: Apache-2.0
- 任务类别: 机器人(Robotics)
- 创建工具: 使用 LeRobot 创建
数据集规模
- 总片段数: 500
- 总帧数: 75,802
- 总任务数: 1
- 帧率 (FPS): 20
- 数据文件大小: 100 MB
- 视频文件大小: 200 MB
- 分片(Split): 仅训练集(train: 0-500)
数据结构
动作(Action)
- 数据类型: float32
- 形状: [7]
- 维度名称: dx, dy, dz, drx, dry, drz, gripper
观测(Observation)
- observation.state(状态)
- 数据类型: float32,形状: [2],维度: zero0, zero1
- observation.eef(末端执行器位姿)
- 数据类型: float32,形状: [7],维度: eef_pos_x, eef_pos_y, eef_pos_z, eef_quat_x, eef_quat_y, eef_quat_z, eef_quat_w
- observation.gripper(夹爪状态)
- 数据类型: float32,形状: [6],维度: gripper_qpos_0 ~ gripper_qpos_5
- observation.joint(关节位置)
- 数据类型: float32,形状: [7],维度: joint_pos_0 ~ joint_pos_6
- observation.eef_gripper(末端+夹爪组合)
- 数据类型: float32,形状: [13],由 eef 和 gripper 维度合并
- observation.joint_gripper(关节+夹爪组合)
- 数据类型: float32,形状: [13],由 joint 和 gripper 维度合并
- observation.images.frontview(前视图图像)
- 数据类型: 视频,形状: [256, 256, 3],编码: AV1,帧率: 20 FPS,分辨率 256x256
- observation.images.sideview(侧视图图像)
- 数据类型: 视频,形状: [256, 256, 3],编码: AV1,帧率: 20 FPS,分辨率 256x256
元数据字段
- timestamp: float32, [1]
- frame_index: int64, [1]
- episode_index: int64, [1]
- index: int64, [1]
- task_index: int64, [1]
机器人类型
- 机器人类型: cross_embodiment(跨本体)
数据存储格式
- 数据路径:
data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet - 视频路径:
videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4 - 分块大小(chunks_size): 1000



