example_dataset_2 / label /dataset_info.yml
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license: apache-2.0
language:
- en
- zh
task_categories:
- robotics
tags:
- RobotCoin
- LeRobot
size_categories: <1K
configs:
- config_name: default
data_files: data/*/*.parquet
authors:
contributed_by:
- name: RobotCoin
url: https://RobotCoin.github.io
annotated_by:
- name: RobotCoin
url: https://RobotCoin.github.io
dataset_description: This dataset uses an extended format based on [LeRobot](https://github.com/huggingface/lerobot)
and is fully compatible with LeRobot.
links:
Homepage: https://RobotCoin.github.io/
Paper: in comming
License: apache-2.0
tasks:
- stack basket
sub_tasks:
- Pick up the dark basket with the left gripper
- Pick up the dark basket with the right gripper
- Pick up the light basket with the left gripper
- Pick up the light basket with the right gripper
- Place the dark basket in the center of view with the left gripper
- Place the dark basket on the light basket with the right gripper
- Place the light basket in the center of view with the left gripper
- Place the light basket on the dark basket with the right gripper
- abnormal
- end
episodes_num: 0
frames_num: 0
dataset_tags:
场景类型:
- 餐厅
- 厨房
- 客厅
采集本体: realman
末端类型: 二指夹爪
相机数量: 3
相机类型:
- RGBD
- fisheye
声音传感器数量: 0
触觉传感器数量: 0
原子动作:
-
-
-
- 堆叠
- 移动
物品:
level1: 容器
level2: 篮子
level3: 黑色篮子
level4: null
level5: null
桌面高度: 77.2cm
structure:
file: meta/info.json
content: "{\n \"codebase_version\": \"v2.1\",\n \"robot_type\": \"realman\"\
,\n \"total_episodes\": 499,\n \"total_frames\": 290587,\n \"total_tasks\"\
: 1,\n \"total_videos\": 1497,\n \"total_chunks\": 1,\n \"chunks_size\"\
: 1000,\n \"fps\": 25,\n \"splits\": {\n \"train\": \"0:499\"\n \
\ },\n \"data_path\": \"data/chunk-{episode_chunk:03d}/episode_{episode_index:06d}.parquet\"\
,\n \"video_path\": \"videos/chunk-{episode_chunk:03d}/{video_key}/episode_{episode_index:06d}.mp4\"\
,\n \"features\": {\n \"observation.images.cam_high\": {\n \
\ \"dtype\": \"video\",\n \"shape\": [\n 480,\n \
\ 640,\n 3\n ],\n \"names\"\
: [\n \"height\",\n \"width\",\n \
\ \"channels\"\n ],\n \"info\": {\n \"video.fps\"\
: 25.0,\n \"video.height\": 480,\n \"video.width\"\
: 640,\n \"video.channels\": 3,\n \"video.codec\"\
: \"h264\",\n \"video.pix_fmt\": \"yuv420p\",\n \
\ \"video.is_depth_map\": false,\n \"has_audio\": false\n \
\ }\n },\n \"observation.images.cam_left_wrist\": {\n \
\ \"dtype\": \"video\",\n \"shape\": [\n 480,\n\
\ 640,\n 3\n ],\n \"names\"\
: [\n \"height\",\n \"width\",\n \
\ \"channels\"\n ],\n \"info\": {\n \"video.fps\"\
: 25.0,\n \"video.height\": 480,\n \"video.width\"\
: 640,\n \"video.channels\": 3,\n \"video.codec\"\
: \"h264\",\n \"video.pix_fmt\": \"yuv420p\",\n \
\ \"video.is_depth_map\": false,\n \"has_audio\": false\n \
\ }\n },\n \"observation.images.cam_right_wrist\": {\n \
\ \"dtype\": \"video\",\n \"shape\": [\n 480,\n\
\ 640,\n 3\n ],\n \"names\"\
: [\n \"height\",\n \"width\",\n \
\ \"channels\"\n ],\n \"info\": {\n \"video.fps\"\
: 25.0,\n \"video.height\": 480,\n \"video.width\"\
: 640,\n \"video.channels\": 3,\n \"video.codec\"\
: \"h264\",\n \"video.pix_fmt\": \"yuv420p\",\n \
\ \"video.is_depth_map\": false,\n \"has_audio\": false\n \
\ }\n },\n \"states\": {\n \"dtype\": \"float32\"\
,\n \"shape\": [\n 30\n ],\n \"\
name\": [\n \"right_arm_joint_1\",\n \"right_arm_joint_2\"\
,\n \"right_arm_joint_3\",\n \"right_arm_joint_4\"\
,\n \"right_arm_joint_5\",\n \"right_arm_joint_6\"\
,\n \"right_arm_joint_7\",\n \"right_gripper_joint\"\
,\n \"right_end_effector_positions_x\",\n \"right_end_effector_positions_y\"\
,\n \"right_end_effector_positions_z\",\n \"right_end_effector_quat_x\"\
,\n \"right_end_effector_quat_y\",\n \"right_end_effector_quat_z\"\
,\n \"right_end_effector_quat_w\",\n \"left_arm_joint_1\"\
,\n \"left_arm_joint_2\",\n \"left_arm_joint_3\"\
,\n \"left_arm_joint_4\",\n \"left_arm_joint_5\"\
,\n \"left_arm_joint_6\",\n \"left_arm_joint_7\"\
,\n \"left_gripper_joint\",\n \"left_end_effector_positions_x\"\
,\n \"left_end_effector_positions_y\",\n \"left_end_effector_positions_z\"\
,\n \"left_end_effector_quat_x\",\n \"left_end_effector_quat_y\"\
,\n \"left_end_effector_quat_z\",\n \"left_end_effector_quat_w\"\
\n ]\n },\n \"actions\": {\n \"dtype\": \"\
float32\",\n \"shape\": [\n 30\n ],\n \
\ \"name\": [\n \"right_arm_joint_1\",\n \
\ \"right_arm_joint_2\",\n \"right_arm_joint_3\",\n \
\ \"right_arm_joint_4\",\n \"right_arm_joint_5\",\n \
\ \"right_arm_joint_6\",\n \"right_arm_joint_7\",\n \
\ \"right_gripper_joint\",\n \"right_end_effector_positions_x\"\
,\n \"right_end_effector_positions_y\",\n \"right_end_effector_positions_z\"\
,\n \"right_end_effector_quat_x\",\n \"right_end_effector_quat_y\"\
,\n \"right_end_effector_quat_z\",\n \"right_end_effector_quat_w\"\
,\n \"left_arm_joint_1\",\n \"left_arm_joint_2\"\
,\n \"left_arm_joint_3\",\n \"left_arm_joint_4\"\
,\n \"left_arm_joint_5\",\n \"left_arm_joint_6\"\
,\n \"left_arm_joint_7\",\n \"left_gripper_joint\"\
,\n \"left_end_effector_positions_x\",\n \"left_end_effector_positions_y\"\
,\n \"left_end_effector_positions_z\",\n \"left_end_effector_quat_x\"\
,\n \"left_end_effector_quat_y\",\n \"left_end_effector_quat_z\"\
,\n \"left_end_effector_quat_w\"\n ]\n },\n \
\ \"next.done\": {\n \"dtype\": \"bool\",\n \"shape\"\
: [\n 1\n ],\n \"names\": null\n },\n\
\ \"timestamp\": {\n \"dtype\": \"float32\",\n \"\
shape\": [\n 1\n ],\n \"names\": null\n \
\ },\n \"frame_index\": {\n \"dtype\": \"int64\",\n \
\ \"shape\": [\n 1\n ],\n \"names\"\
: null\n },\n \"episode_index\": {\n \"dtype\": \"int64\"\
,\n \"shape\": [\n 1\n ],\n \"\
names\": null\n },\n \"index\": {\n \"dtype\": \"int64\"\
,\n \"shape\": [\n 1\n ],\n \"\
names\": null\n },\n \"task_index\": {\n \"dtype\": \"\
int64\",\n \"shape\": [\n 1\n ],\n \
\ \"names\": null\n }\n }\n}"
citation: in comming