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chore: import upstream snapshot with attribution
2026-07-13 11:59:26 +08:00

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# Table Recognition Datasets
Here are the commonly used table recognition datasets, which are being updated continuously. Welcome to contribute datasets~
## Dataset Summary
| dataset | Image download link | PPOCR format annotation download link |
|---|---|---|
| PubTabNet |<https://github.com/ibm-aur-nlp/PubTabNet>| jsonl format, which can be loaded directly with [pubtab_dataset.py](https://github.com/PaddlePaddle/PaddleOCR/blob/{{PADDLEOCR_GITHUB_REF}}/ppocr/data/pubtab_dataset.py) |
| TAL Table Recognition Competition Dataset |<https://ai.100tal.com/dataset>| jsonl format, which can be loaded directly with [pubtab_dataset.py](https://github.com/PaddlePaddle/PaddleOCR/blob/{{PADDLEOCR_GITHUB_REF}}/ppocr/data/pubtab_dataset.py) |
| WTW Chinese scene table dataset |<https://github.com/wangwen-whu/WTW-Dataset>| Conversion is required to load with [pubtab_dataset.py](https://github.com/PaddlePaddle/PaddleOCR/blob/{{PADDLEOCR_GITHUB_REF}}/ppocr/data/pubtab_dataset.py)|
## 1. PubTabNet
- **Data Introduction**The training set of the PubTabNet dataset contains 500,000 images and the validation set contains 9000 images. Part of the image visualization is shown below.
![](./images/table_PubTabNet_demo/PMC524509_007_00.png)
![](./images/table_PubTabNet_demo/PMC535543_007_01.png)
- **illustrate**When using this dataset, the [CDLA-Permissive](https://cdla.io/permissive-1-0/) protocol is required.
## 2. TAL Table Recognition Competition Dataset
- **Data Introduction**The training set of the TAL table recognition competition dataset contains 16,000 images. The validation set does not give trainable annotations.
![](./images/table_tal_demo/1.jpg)
![](./images/table_tal_demo/2.jpg)
## 3. WTW Chinese scene table dataset
- **Data Introduction**The WTW Chinese scene table dataset consists of two parts: table detection and table data. The dataset contains images of two scenes, scanned and photographed.
![img](./images/20210816_210413.gif)