# Table Recognition Datasets

- [Table Recognition Datasets](#table-recognition-datasets)
  - [Dataset Summary](#dataset-summary)
  - [1. PubTabNet](#1-pubtabnet)
  - [2. TAL Table Recognition Competition Dataset](#2-tal-table-recognition-competition-dataset)

Here are the commonly used layout analysis 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](../../../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](../../../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.

<div align="center">
    <img src="../../datasets/table_PubTabNet_demo/PMC524509_007_00.png" width="500">
    <img src="../../datasets/table_PubTabNet_demo/PMC535543_007_01.png" width="500">
</div>

- **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.

<div align="center">
    <img src="../../datasets/table_tal_demo/1.jpg" width="500">
    <img src="../../datasets/table_tal_demo/2.jpg" width="500">
</div>