eval_4task_1_diffusion_1
收藏Hugging Face2026-05-12 更新2026-05-12 收录
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https://huggingface.co/datasets/kawamura101010/eval_4task_1_diffusion_1
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资源简介:
该数据集是使用LeRobot工具创建的机器人控制数据集,专为机器人学习任务设计。数据集包含一个名为so_follower的机器人类型,数据以parquet文件格式存储,总数据文件大小为100MB,视频文件大小为200MB,帧率为30fps。数据集的特征包括动作(action)和观察状态(observation.state),均为6维浮点数组,对应机器人的关节位置(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)。观察部分还包括两个图像特征:front和wrist视角的图像,分辨率为360x640像素,3通道(RGB)。此外,数据集包含时间戳、帧索引、episode索引、索引和任务索引等元数据,用于跟踪数据序列。数据集结构支持分块存储,每个块大小为1000帧,适用于机器人控制和强化学习应用。
This dataset is a robot control dataset created using the LeRobot tool, specifically designed for robot learning tasks. It includes a robot type named so_follower, with data stored in parquet file format. The total data file size is 100MB, video file size is 200MB, and the frame rate is 30fps. The dataset features include action and observation.state, both 6-dimensional floating-point arrays corresponding to robot joint positions (such as shoulder translation, shoulder elevation, elbow flexion, wrist flexion, wrist roll, and gripper position). The observation part also includes two image features: front and wrist view images, with a resolution of 360x640 pixels and 3 channels (RGB). Additionally, the dataset contains metadata such as timestamps, frame index, episode index, index, and task index for tracking data sequences. The dataset structure supports chunked storage, with each chunk containing 1000 frames, making it suitable for robot control and reinforcement learning applications.
提供机构:
kawamura101010
创建时间:
2026-05-12
原始信息汇总
数据集概述
- 数据集名称:
kawamura101010/eval_4task_1_diffusion_1 - 许可证: Apache-2.0
- 任务类别: 机器人学(Robotics)
- 标签: LeRobot
- 创建工具: 使用 LeRobot 创建
数据集结构
- 代码库版本: v3.0
- 机器人类型:
so_follower - 总片段数: 0
- 总帧数: 0
- 总任务数: 0
- 块大小: 1000
- 数据文件大小: 100 MB
- 视频文件大小: 200 MB
- 帧率 (FPS): 30
- 数据路径格式:
data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet - 视频路径格式:
videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4
特征说明
| 特征名 | 数据类型 | 形状 | 描述 |
|---|---|---|---|
action |
float32 | [6] | 包含6个关节位置的操控动作(肩部、肘部、腕部、夹爪等) |
observation.state |
float32 | [6] | 包含6个关节位置的机器人状态观测 |
observation.images.front |
video | [360, 640, 3] | 前方摄像头图像 (高度360, 宽度640, 3通道) |
observation.images.wrist |
video | [360, 640, 3] | 腕部摄像头图像 (高度360, 宽度640, 3通道) |
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 |



