遇见数据集

advanced_pick_place_20260913_171933

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Hugging Face2026-09-13 更新2026-09-13 收录
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资源简介:

该数据集是一个用于机器人技术的模拟仿真数据集,由LeRobot框架创建。数据包含执行高级拾取和放置任务的机器人动作和状态观测,包括6维关节位置(肩部、肘部、腕部、夹爪),以及来自顶视和腕部摄像头的图像序列(480x640 RGB,30fps),并伴有时间戳和帧索引。数据集包含44个演示片段,总共18564帧,有1个任务类型。机器人类型为so_follower。数据以parquet和mp4视频文件存储,适合用于模仿学习等机器人学习任务。

This dataset is a simulated robotics dataset created by the LeRobot framework. It contains robot actions and state observations for performing advanced pick-and-place tasks, including 6D joint positions (shoulder, elbow, wrist, gripper), as well as image sequences from top and wrist cameras (480x640 RGB, 30fps), accompanied by timestamps and frame indices. The dataset includes 44 demonstration episodes with a total of 18,564 frames and 1 task type. The robot type is so_follower. Data is stored in parquet and mp4 video formats, suitable for imitation learning and other robot learning tasks.

提供机构:
TrebleY
创建时间:
2026-09-13
原始信息汇总

数据集概述

基本信息

  • 数据集地址:https://huggingface.co/datasets/TrebleY/advanced_pick_place_20260913_171933
  • 许可证:apache-2.0
  • 任务类别:robotics
  • 标签:LeRobot
  • 创建工具:使用 LeRobot(https://github.com/huggingface/lerobot)创建
  • 主页:[More Information Needed]
  • 论文:[More Information Needed]

数据集描述

  • Homepage:[更多信息待补充]
  • Paper:[更多信息待补充]
  • License:apache-2.0

数据集结构

数据配置

  • config_name:default
  • data_files:data//.parquet

元信息(meta/info.json)

项目
codebase_version v3.0
fps 30
total_episodes 44
total_frames 18564
total_tasks 1
chunks_size 1000
data_files_size_in_mb 100
video_files_size_in_mb 200
robot_type so_follower
data_path data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet
video_path videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4
splits train: 0:44

特征(Features)

action

  • dtype:float32
  • shape:[6]
  • names:shoulder_pan.pos、shoulder_lift.pos、elbow_flex.pos、wrist_flex.pos、wrist_roll.pos、gripper.pos

observation.state

  • dtype:float32
  • shape:[6]
  • names:shoulder_pan.pos、shoulder_lift.pos、elbow_flex.pos、wrist_flex.pos、wrist_roll.pos、gripper.pos

observation.images.overhead

  • dtype:video
  • shape:[480, 640, 3]
  • names:height、width、channels
  • 视频信息:
    • is_depth_map:false
    • video.height:480
    • video.width:640
    • video.codec:av1
    • video.pix_fmt:yuv420p
    • video.fps:30
    • video.channels:3
    • has_audio:false
    • video.g:2
    • video.crf:30
    • video.preset:12
    • video.fast_decode:0
    • video.video_backend:pyav
    • video.extra_options:{}

observation.images.wrist

  • dtype:video
  • shape:[480, 640, 3]
  • names:height、width、channels
  • 视频信息:
    • is_depth_map:false
    • video.height:480
    • video.width:640
    • video.codec:av1
    • video.pix_fmt:yuv420p
    • video.fps:30
    • video.channels:3
    • has_audio:false
    • video.g:2
    • video.crf:30
    • video.preset:12
    • video.fast_decode:0
    • video.video_backend:pyav
    • video.extra_options:{}

timestamp

  • dtype:float32
  • shape:[1]
  • names:null

frame_index

  • dtype:int64
  • shape:[1]
  • names:null

episode_index

  • dtype:int64
  • shape:[1]
  • names:null

index

  • dtype:int64
  • shape:[1]
  • names:null

task_index

  • dtype:int64
  • shape:[1]
  • names:null

引用

BibTeX

bibtex [More Information Needed]

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