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rollout_act_so101_2_020000_20260629_180935

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Hugging Face2026-06-29 更新2026-06-29 收录
下载链接:
https://huggingface.co/datasets/hattori317/rollout_act_so101_2_020000_20260629_180935
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资源简介:
这是一个机器人学数据集,专门用于机械臂控制任务。数据集通过LeRobot工具创建,包含一个总时长为11545帧的单个训练集。数据特征包括6维浮点型动作向量(对应机械臂的肩部、肘部、腕部和夹爪位置)、6维浮点型观测状态向量(与动作相同)、OpenCV格式的视频图像(分辨率为480x640,3通道,帧率30fps),以及时间戳、帧索引、集索引、索引和任务索引等元数据。数据集采用Apache 2.0许可证,总数据文件大小为100MB,视频文件大小为200MB,机器人类型为so_follower,适用于机器人控制模型的训练和评估。

This is a robotics dataset specifically designed for robotic arm control tasks. The dataset is created using the LeRobot tool and includes a single training set with a total duration of 11545 frames. Data features consist of a 6-dimensional floating-point action vector (corresponding to the shoulder, elbow, wrist, and gripper positions of the robotic arm), a 6-dimensional floating-point observation state vector (same as the action), OpenCV-format video images (resolution 480x640, 3 channels, frame rate 30fps), as well as metadata such as timestamps, frame indices, set indices, indices, and task indices. The dataset is licensed under Apache 2.0, with a total data file size of 100MB and a video file size of 200MB. The robot type is so_follower, and it is suitable for training and evaluating robotic control models.
提供机构:
hattori317
创建时间:
2026-06-29
原始信息汇总

数据集概述

  • 名称: rollout_act_so101_2_020000_20260629_180935
  • 许可证: Apache-2.0
  • 任务类别: 机器人学 (robotics)
  • 创建工具: 使用 LeRobot 创建

数据集结构

  • 代码库版本: v3.0
  • 帧率 (FPS): 30
  • 总片段数 (Episodes): 1
  • 总帧数 (Total Frames): 11545
  • 总任务数 (Total Tasks): 1
  • 数据文件大小: 100 MB
  • 视频文件大小: 200 MB
  • 机器人类型: so_follower

数据特征 (Features)

特征名称 数据类型 形状 说明
action float32 [6] 包含 6 个自由度:shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos
observation.state float32 [6] 状态观测,与 action 相同的 6 个自由度
observation.images.OpenCV video [480, 640, 3] 来自 OpenCV 摄像头的视频图像,分辨率 480x640,3 通道,编码为 AV1,帧率 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] 索引
task_index int64 [1] 任务索引

数据拆分

  • 训练集 (train): 0:1(全部数据用于训练)

文件结构

  • 数据文件: data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
  • 视频文件: videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4
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