record_test
收藏资源简介:
该数据集是一个机器人学数据集,基于LeRobot创建,采用Apache 2.0许可证。它包含机器人的动作和观测数据,具体特征包括:6维动作向量(对应机器人关节位置,如肩部平移、肩部提升、肘部弯曲、腕部弯曲、腕部滚动和夹爪位置),6维观测状态向量(与动作相同),以及前端摄像头图像(视频格式,分辨率为480x640,3通道,30帧/秒)。元数据包括时间戳、帧索引、episode索引等。数据集由5个episodes组成,共8965帧,涉及1个任务,使用so_follower机器人类型。数据以parquet文件格式存储,视频以mp4格式存储,总数据大小为100MB,视频大小为200MB。
This is a robotics dataset built based on LeRobot, released under the Apache 2.0 license. It contains robot action and observation data, with specific features including: a 6-dimensional action vector corresponding to robot joint positions (e.g., shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist roll, and gripper position), a 6-dimensional observation state vector identical to the action vector, and front-facing camera images in video format with a resolution of 480x640, 3 channels and 30 frames per second. Metadata includes timestamps, frame indices, episode indices and so on. The dataset consists of 5 episodes, totaling 8965 frames, involving 1 task, and uses the so_follower robot type. The data is stored in Parquet file format, while the videos are stored in MP4 format. The total data size is 100 MB, and the video size is 200 MB.
数据集名称:ParkTaedong/record_test
许可协议:Apache-2.0
任务类别:机器人技术
标签:LeRobot
数据集描述: 该数据集使用 LeRobot 工具创建,主要用于机器人领域的相关任务。
数据集结构:
- 总集数(Total Episodes):5
- 总帧数(Total Frames):8965
- 总任务数(Total Tasks):1
- 帧率(FPS):30
- 数据文件大小:100 MB
- 视频文件大小:200 MB
- 机器人类型:so_follower
- 数据划分:训练集包含全部5个episodes(索引0至4)
特征(Features):
| 特征名 | 数据类型 | 形状 | 说明 |
|---|---|---|---|
| action | float32 | [6] | 包含6个动作维度:shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos |
| observation.state | float32 | [6] | 包含6个状态维度:shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos |
| observation.images.front | video | [480, 640, 3] | 前置摄像头视频,分辨率为480x640,3通道,AV1编码,帧率30fps |
| timestamp | float32 | [1] | 时间戳 |
| frame_index | int64 | [1] | 帧索引 |
| episode_index | int64 | [1] | 集数索引 |
| index | int64 | [1] | 索引 |
| task_index | int64 | [1] | 任务索引 |
数据文件路径:data/*/*.parquet
可视化:可通过 此链接 在线查看数据集内容。



