V4_pick_blue_cube
收藏Hugging Face2026-05-31 更新2026-05-31 收录
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https://huggingface.co/datasets/nirs123/V4_pick_blue_cube
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资源简介:
该数据集由LeRobot创建,用于机器人学任务。数据集包含60个训练片段,总计27550帧数据,记录了一个名为so_follower的机器人执行单一任务的过程。数据特征包括:机器人的6个关节位置(肩部平移、肩部升降、肘部弯曲、腕部弯曲、腕部旋转、夹爪位置)作为动作和观测状态;从腕部和俯视视角采集的RGB视频(分辨率分别为640x480和480x640,30fps);以及时间戳、帧索引、片段索引等元数据。数据以Parquet格式存储,视频使用AV1编码。
This dataset is created by LeRobot for robotics tasks. It contains 60 training episodes, totaling 27,550 frames, recording a robot named so_follower performing a single task. Data features include: the robots 6 joint positions (shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist rotation, gripper position) as actions and observation states; RGB videos captured from wrist and overhead perspectives (with resolutions of 640x480 and 480x640, 30fps); and metadata such as timestamps, frame indices, and episode indices. The data is stored in Parquet format, with videos encoded using AV1.
提供机构:
nirs123创建时间:
2026-05-31
原始信息汇总
数据集概述
- 数据集名称: V4_pick_blue_cube
- 任务类别: 机器人学
- 许可证: Apache-2.0
- 创建工具: LeRobot (https://github.com/huggingface/lerobot)
数据集结构
基本信息
- 代码库版本: v3.0
- 总集数: 60
- 总帧数: 27550
- 总任务数: 1
- 帧率 (FPS): 30
- 机器人类型: so_follower
- 数据文件大小: 100 MB
- 视频文件大小: 200 MB
- 分块大小: 1000
数据特征
| 特征名称 | 数据类型 | 形状 | 说明 |
|---|---|---|---|
| action | float32 | [6] | 动作数据,包含6个关节位置 (shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos) |
| observation.state | float32 | [6] | 观测状态,与动作数据相同的6个关节位置 |
| observation.images.wrist | video | [640, 480, 3] | 腕部摄像头视频,分辨率640x480,编码为AV1,帧率30 |
| observation.images.overhead | video | [480, 640, 3] | 顶部摄像头视频,分辨率480x640,编码为AV1,帧率30 |
| timestamp | float32 | [1] | 时间戳 |
| frame_index | int64 | [1] | 帧索引 |
| episode_index | int64 | [1] | 集索引 |
| index | int64 | [1] | 整体索引 |
| task_index | int64 | [1] | 任务索引 |
数据分割
- 训练集: 0:60 (所有60集用于训练)
文件路径
- 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



