pen-dataset_20260719_180249
收藏资源简介:
该数据集是一个机器人操作数据集,使用LeRobot工具创建。数据集包含机械臂的动作和观察状态,其中动作和状态特征均包括6个关节位置(肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部旋转和夹爪位置)。观察状态包括前视摄像头和腕部摄像头的视频数据,视频分辨率为480x640,帧率为30fps,编码格式为av1。此外,数据集还包含时间戳、帧索引、episode索引、任务索引等元数据。数据集总共有8个episodes,14390帧,数据以parquet文件格式存储,视频以mp4格式存储,机器人类型为so_follower。数据集用于训练和评估机器人控制模型,适用于机器人学习任务。
This dataset is a robotic manipulation dataset created using the LeRobot tool. It includes robot arm actions and observation states, with both action and state features comprising 6 joint positions (shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, and gripper position). The observation states include video data from a front-facing camera and a wrist camera, with a resolution of 480x640, a frame rate of 30fps, and an encoding format of av1. Additionally, the dataset contains metadata such as timestamps, frame indices, episode indices, and task indices. The dataset consists of 8 episodes and 14390 frames, with data stored in parquet file format and videos in mp4 format. The robot type is so_follower. It is used for training and evaluating robot control models and is suitable for robotic learning tasks.
数据集概述
基本信息
- 数据集名称: pen-dataset_20260719_180249
- 许可证: Apache-2.0
- 任务类别: 机器人学(robotics)
- 标签: LeRobot
- 创建工具: LeRobot
数据集结构
- 数据格式: Parquet 文件(存储于
data/*/*.parquet路径) - 视频格式: MP4 文件(存储于
videos/对应子目录) - 帧率: 30 FPS
- 数据集规模:
- 总帧数: 73,772 帧
- 总片段数(episodes): 41
- 总任务数: 1
- 数据文件大小: 100 MB
- 视频文件大小: 200 MB
特征字段
| 字段名称 | 数据类型 | 形状 | 说明 |
|---|---|---|---|
action |
float32 | (6,) | 6维动作指令:肩部旋转、肩部抬升、肘部弯曲、腕部弯曲、腕部滚动、夹爪位置 |
observation.state |
float32 | (6,) | 6维状态观测,与动作字段同名变量对应 |
observation.images.front |
video | (480, 640, 3) | 前置摄像头视频,分辨率 480x640,AV1 编码,30 FPS |
observation.images.wrist |
video | (480, 640, 3) | 腕部摄像头视频,分辨率 480x640,AV1 编码,30 FPS |
timestamp |
float32 | (1,) | 时间戳 |
frame_index |
int64 | (1,) | 帧索引 |
episode_index |
int64 | (1,) | 片段索引 |
index |
int64 | (1,) | 全局索引 |
task_index |
int64 | (1,) | 任务索引 |
数据集划分
- 训练集: 索引 0 至 40(共 41 个片段),所有数据均用于训练
机器人类型
- 机器人型号:
so_follower
引用信息
- 当前暂无正式的论文或主页引用信息,均标注为“More Information Needed”。



