遇见数据集

so101_dataset_etoile_20261005_154249

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Hugging Face2026-10-05 更新2026-10-05 收录
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资源简介:

该数据集使用LeRobot框架创建,是一个机器人操作数据集。包含80个episode的遥操作数据,帧率为30fps。每个episode包含机器人关节动作(shoulder_pan, shoulder_lift, elbow_flex, wrist_flex, wrist_roll, gripper)、观测状态(与动作相同的关节位置)、三个摄像头视角(侧方、顶部、45度角)的视频图像(分辨率480x640,编码为AV1),以及时间戳、帧索引、episode索引等元数据。机器人类型为so_follower,任务数量为1。数据以Parquet和MP4格式存储,许可为Apache-2.0。

The dataset is created using the LeRobot framework and is a robot manipulation dataset. It contains 80 episodes of teleoperation data at 30fps. Each episode includes robot joint actions (shoulder_pan, shoulder_lift, elbow_flex, wrist_flex, wrist_roll, gripper), observation states (the same joint positions as actions), video images from three camera views (side, top, 45-degree angle) with resolution 480x640 and AV1 encoding, as well as metadata such as timestamps, frame indices, and episode indices. The robot type is so_follower, and there is 1 task. Data is stored in Parquet and MP4 formats, licensed under Apache-2.0.

提供机构:
Bixymax
创建时间:
2026-10-05
原始信息汇总

数据集概述

基本信息

  • 数据集地址:https://huggingface.co/datasets/Bixymax/so101_dataset_etoile_20261005_154249
  • 许可证:apache-2.0
  • 任务类别:robotics(机器人)
  • 标签:LeRobot
  • 创建工具:本数据集使用 LeRobot(https://github.com/huggingface/lerobot)创建
  • 可视化入口:https://huggingface.co/spaces/lerobot/visualize_dataset?path=Bixymax/so101_dataset_etoile_20261005_154249
  • 主页:[More Information Needed]
  • 论文:[More Information Needed]

数据集配置

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

数据集结构

元信息(meta/info.json)

项目 值
codebase_version v3.0
fps 30
total_episodes 80
total_frames 29218
total_tasks 1
chunks_size 1000
data_files_size_in_mb 100
video_files_size_in_mb 200
robot_type so_follower
splits train: 0:80

数据路径

  • 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

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.side

  • dtype:video
  • shape:[480, 640, 3]
  • names:height, width, channels
  • info:
    • 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.top

  • dtype:video
  • shape:[480, 640, 3]
  • names:height, width, channels
  • info:
    • 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.angle45

  • dtype:video
  • shape:[480, 640, 3]
  • names:height, width, channels
  • info:
    • 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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