---
license: afl-3.0
task_categories:
- feature-extraction
language:
- en
- zh
size_categories:
- 100M<n<1B
---
# pdf-layout-chinese: A Chinese document layout PDF dataset

### 介绍

pdf-layout-chinese是一个中文文档版面分析数据集，面向中文文献类（论文）场景。包含以下10个label：

| 正文 | 标题  | 图片   | 图片标题       | 表格  | 表格标题      | 页眉   | 页脚   | 注释      | 公式     |
| :----: | :-----: | :------: | :--------------: | :-----: | :-------------: | :------: | :------: | :---------: | :--------: |
| Text | Title | Figure | Figure caption | Table | Table caption | Header | Footer | Reference | Equation |

共包含5000张训练集和1000张验证集，分别在train和val目录下。每张图片对应一个同名的标注文件(.json)。

样例展示：

![1](https://cdn-lfs-us-1.huggingface.co/repos/68/a0/68a093e9abcb0e5fc9842c05f7c3aefe036afedd88fa0f7e2e414f21f8d515c5/d776fada24e3b6b2482d0b4041fbf9b6089c4a8acb586737378136561e131cbf?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27show_1.png%3B+filename%3D%22show_1.png%22%3B&response-content-type=image%2Fpng&Expires=1713690252&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxMzY5MDI1Mn19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzY4L2EwLzY4YTA5M2U5YWJjYjBlNWZjOTg0MmMwNWY3YzNhZWZlMDM2YWZlZGQ4OGZhMGY3ZTJlNDE0ZjIxZjhkNTE1YzUvZDc3NmZhZGEyNGUzYjZiMjQ4MmQwYjQwNDFmYmY5YjYwODljNGE4YWNiNTg2NzM3Mzc4MTM2NTYxZTEzMWNiZj9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoifV19&Signature=HwGysVyURdVxBYnmy0XSARNO3-Ew0FVjQ1LbkBbJDyj5NAPhZUglUSVqxfgeZiP%7E%7EYIx6a6BK%7EQURuhThrnKQa%7EV0rK34AGw0i4pOePXZQLj-dps3U51OCR30IDqnvldRjOkjs4UzEVFjV5Us4Uy7kIn0yQfeaVxdiXZQFedH%7E%7EEJ7GMaH43ckTbWPUKlEcBkqEuHZ7TquMvC8sdLmxhoZxOlpwFl2KNsH8lJmQXv6Zz8BzWq6wk9pTuF%7E%7ECSz1m6Ao7fVDrk5Snn%7ECY8nxgo34N9ykWkYFlho03rqLX406YY3h7gsZ2ptyUm7kVzYtpzOI0BzmeGUiDyIOl%7EdG6xQ__&Key-Pair-Id=KCD77M1F0VK2B)
![2](https://cdn-lfs-us-1.huggingface.co/repos/68/a0/68a093e9abcb0e5fc9842c05f7c3aefe036afedd88fa0f7e2e414f21f8d515c5/95b9cc1f8f785cb52095f1f799e1af682047ec8073b8d650efd673bb683cfdec?response-content-disposition=inline%3B+filename*%3DUTF-8%27%27show_2.png%3B+filename%3D%22show_2.png%22%3B&response-content-type=image%2Fpng&Expires=1713690280&Policy=eyJTdGF0ZW1lbnQiOlt7IkNvbmRpdGlvbiI6eyJEYXRlTGVzc1RoYW4iOnsiQVdTOkVwb2NoVGltZSI6MTcxMzY5MDI4MH19LCJSZXNvdXJjZSI6Imh0dHBzOi8vY2RuLWxmcy11cy0xLmh1Z2dpbmdmYWNlLmNvL3JlcG9zLzY4L2EwLzY4YTA5M2U5YWJjYjBlNWZjOTg0MmMwNWY3YzNhZWZlMDM2YWZlZGQ4OGZhMGY3ZTJlNDE0ZjIxZjhkNTE1YzUvOTViOWNjMWY4Zjc4NWNiNTIwOTVmMWY3OTllMWFmNjgyMDQ3ZWM4MDczYjhkNjUwZWZkNjczYmI2ODNjZmRlYz9yZXNwb25zZS1jb250ZW50LWRpc3Bvc2l0aW9uPSomcmVzcG9uc2UtY29udGVudC10eXBlPSoifV19&Signature=JuEZ0GrxIHnxMDAgDxYxIKDUXwNxPspVs5tUF6qoDRlvuoi7jkrzFSSa%7EUgEPMR29iTWX3serSkLO3pTBEEt5ftMwWhdopWBp2FULipfBms4qQQ2oabn--lR26UC9s5jdqXjWXaNm3DvuUplxDxnOj6541RgClZm64bY-YHYa-Pb3T0xiKqM8-JoBKRSls1Vr8ijZFfxM%7EJJAwTZh3el7AG5t7jLlpWeHAeUQs-g-hJ2iIyDHziYKQg1OnIfEBpKV270kKK%7EPDniXsikvKJsDInYFDFrH1BUqxx9PFJQiqfrqWlqXWsE4MCKoxkhm0%7EXmWTF9ZuwfKbon5Bs-DoAwA__&Key-Pair-Id=KCD77M1F0VK2B)

### 标注格式

使用的标注工具是labelme，所以标注格式和labelme格式一致。这里说明一下比较重要的字段。

"shapes": shapes字段是一个list，里面有多个dict，每个dict代表一个标注实例。

"labels": 类别。

"points": 实例标注。因为我们的标注是Polygon形式，所以points里的坐标数量可能大于4。

"shape_type": "polygon"

"imagePath": 图片路径/名

"imageHeight": 高

"imageWidth": 宽

展示一个完整的标注样例:

```
{
  "version":"4.5.6",
  "flags":{},
  "shapes":[
    {
      "label":"Title",
      "points":[
        [
          553.1111111111111,
          166.59259259259258
        ],
        [
          553.1111111111111,
          198.59259259259258
        ],
        [
          686.1111111111111,
          198.59259259259258
        ],
        [
          686.1111111111111,
          166.59259259259258
        ]
      ],
      "group_id":null,
      "shape_type":"polygon",
      "flags":{}
    },
    {
      "label":"Text",
      "points":[
        [
          250.5925925925925,
          298.0740740740741
        ],
        [
          250.5925925925925,
          345.0740740740741
        ],
        [
          188.5925925925925,
          345.0740740740741
        ],
        [
          188.5925925925925,
          410.0740740740741
        ],
        [
          188.5925925925925,
          456.0740740740741
        ],
        [
          324.5925925925925,
          456.0740740740741
        ],
        [
          324.5925925925925,
          410.0740740740741
        ],
        [
          1051.5925925925926,
          410.0740740740741
        ],
        [
          1051.5925925925926,
          345.0740740740741
        ],
        [
          1052.5925925925926,
          345.0740740740741
        ],
        [
          1052.5925925925926,
          298.0740740740741
        ]
      ],
      "group_id":null,
      "shape_type":"polygon",
      "flags":{}
    },
    {
      "label":"Footer",
      "points":[
        [
          1033.7407407407406,
          1634.5185185185185
        ],
        [
          1033.7407407407406,
          1646.5185185185185
        ],
        [
          1052.7407407407406,
          1646.5185185185185
        ],
        [
          1052.7407407407406,
          1634.5185185185185
        ]
      ],
      "group_id":null,
      "shape_type":"polygon",
      "flags":{}
    }
  ],
  "imagePath":"val_0031.jpg",
  "imageData":null,
  "imageHeight":1754,
  "imageWidth":1240
}
```

### 转coco格式

执行命令:

```
# train
python3 labelme2coco.py train train_save_path  --labels labels.txt

# val
python3 labelme2coco.py val val_save_path  --labels labels.txt
```

转换结果保存在train_save_path/val_save_path目录下。

labelme2coco.py取自labelme，更多信息请参考[labelme官方项目](https://github.com/wkentaro/labelme/tree/master/examples/instance_segmentation)