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