smithasbellavi/dataset_FalseCases_45Epi

---
license: apache-2.0
task_categories:
- robotics
tags:
- LeRobot
configs:
- config_name: default
data_files: data/*/*.parquet
---

This dataset was created using [LeRobot](https://github.com/huggingface/lerobot).

<a class="flex" href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=smithasbellavi/dataset_FalseCases_45Epi">
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/>
<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl-dark.svg"/>
</a>

## Dataset Description

- **Homepage:** [More Information Needed]
- **Paper:** [More Information Needed]
- **License:** apache-2.0

## Dataset Structure

[meta/info.json](meta/info.json):
```json
{
"codebase_version": "v3.0",
"robot_type": "so_follower",
"total_episodes": 45,
"total_frames": 31305,
"total_tasks": 1,
"chunks_size": 1000,
"data_files_size_in_mb": 100,
"video_files_size_in_mb": 200,
"fps": 30,
"splits": {
"train": "0:45"
},
"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",
"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.wrist.top": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 480,
"video.width": 640,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 30,
"video.channels": 3,
"has_audio": false
}
},
"observation.images.top.front": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 480,
"video.width": 640,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 30,
"video.channels": 3,
"has_audio": false
}
},
"observation.images.top.left": {
"dtype": "video",
"shape": [
480,
640,
3
],
"names": [
"height",
"width",
"channels"
],
"info": {
"video.height": 480,
"video.width": 640,
"video.codec": "av1",
"video.pix_fmt": "yuv420p",
"video.is_depth_map": false,
"video.fps": 30,
"video.channels": 3,
"has_audio": false
}
},
"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
}
}
}
```

## Citation

**BibTeX:**

```bibtex
[More Information Needed]
```

许可证：Apache-2.0（Apache-2.0）
任务类别：
- 机器人学（robotics）
标签：
- LeRobot（LeRobot）
配置项：
- 配置名称：default（默认配置）
数据文件：data/*/*.parquet

---

本数据集基于LeRobot（LeRobot）框架构建，项目地址为[https://github.com/huggingface/lerobot](https://github.com/huggingface/lerobot)。

您可点击<a href="https://huggingface.co/spaces/lerobot/visualize_dataset?path=smithasbellavi/dataset_FalseCases_45Epi">此链接</a>可视化本数据集，明暗模式下对应的可视化徽章分别为：
<img class="block dark:hidden" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl.svg"/>
<img class="hidden dark:block" src="https://huggingface.co/datasets/huggingface/badges/resolve/main/visualize-this-dataset-xl-dark.svg"/>

## 数据集说明
- **主页：** [需补充更多信息]
- **论文：** [需补充更多信息]
- **许可证：** Apache-2.0（Apache-2.0）

## 数据集结构
`meta/info.json`文件内容如下：
json
{
"代码库版本": "v3.0",
"机器人类型": "so_follower",
"总回合数": 45,
"总帧数": 31305,
"总任务数": 1,
"分块大小": 1000,
"数据文件总大小（单位：MB）": 100,
"视频文件总大小（单位：MB）": 200,
"帧率": 30,
"数据集划分": {
"训练集": "0:45"
},
"数据文件路径格式": "data/chunk-{chunk_index:03d}/file-{file_index:03d}.parquet",
"视频文件路径格式": "videos/{video_key}/chunk-{chunk_index:03d}/file-{file_index:03d}.mp4",
"数据特征": {
"动作": {
"数据类型": "float32",
"形状": [
6
],
"维度名称": [
"肩关节旋转位置",
"肩关节抬升位置",
"肘关节屈曲位置",
"腕关节屈曲位置",
"腕关节旋滚位置",
"夹爪位置"
]
},
"观测状态": {
"数据类型": "float32",
"形状": [
6
],
"维度名称": [
"肩关节旋转位置",
"肩关节抬升位置",
"肘关节屈曲位置",
"腕关节屈曲位置",
"腕关节旋滚位置",
"夹爪位置"
]
},
"观测图像.腕部顶视角": {
"数据类型": "视频",
"形状": [
480,
640,
3
],
"维度名称": [
"高度",
"宽度",
"通道数"
],
"详细信息": {
"视频高度": 480,
"视频宽度": 640,
"视频编码": "av1（AV1）",
"视频像素格式": "yuv420p（YUV420P）",
"是否为深度图": false,
"视频帧率": 30,
"视频通道数": 3,
"是否包含音频": false
}
},
"观测图像.前视顶置": {
"数据类型": "视频",
"形状": [
480,
640,
3
],
"维度名称": [
"高度",
"宽度",
"通道数"
],
"详细信息": {
"视频高度": 480,
"视频宽度": 640,
"视频编码": "av1（AV1）",
"视频像素格式": "yuv420p（YUV420P）",
"是否为深度图": false,
"视频帧率": 30,
"视频通道数": 3,
"是否包含音频": false
}
},
"观测图像.左视顶置": {
"数据类型": "视频",
"形状": [
480,
640,
3
],
"维度名称": [
"高度",
"宽度",
"通道数"
],
"详细信息": {
"视频高度": 480,
"视频宽度": 640,
"视频编码": "av1（AV1）",
"视频像素格式": "yuv420p（YUV420P）",
"是否为深度图": false,
"视频帧率": 30,
"视频通道数": 3,
"是否包含音频": false
}
},
"时间戳": {
"数据类型": "float32",
"形状": [
1
],
"维度名称": null
},
"帧索引": {
"数据类型": "int64",
"形状": [
1
],
"维度名称": null
},
"回合索引": {
"数据类型": "int64",
"形状": [
1
],
"维度名称": null
},
"全局索引": {
"数据类型": "int64",
"形状": [
1
],
"维度名称": null
},
"任务索引": {
"数据类型": "int64",
"形状": [
1
],
"维度名称": null
}
}
}

## 引用
**BibTeX格式引用：**
bibtex
[需补充更多信息]