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41 lines
1.8 KiB
Markdown
41 lines
1.8 KiB
Markdown
---
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comments: true
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---
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# Table Recognition Datasets
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Here are the commonly used table recognition datasets, which are being updated continuously. Welcome to contribute datasets~
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## Dataset Summary
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| dataset | Image download link | PPOCR format annotation download link |
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| PubTabNet |<https://github.com/ibm-aur-nlp/PubTabNet>| jsonl format, which can be loaded directly with [pubtab_dataset.py](../../../ppocr/data/pubtab_dataset.py) |
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| 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) |
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| WTW Chinese scene table dataset |<https://github.com/wangwen-whu/WTW-Dataset>| Conversion is required to load with [pubtab_dataset.py](../../../ppocr/data/pubtab_dataset.py)|
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## 1. PubTabNet
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- **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.
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- **illustrate**：When using this dataset, the [CDLA-Permissive](https://cdla.io/permissive-1-0/) protocol is required.
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## 2. TAL Table Recognition Competition Dataset
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- **Data Introduction**：The training set of the TAL table recognition competition dataset contains 16,000 images. The validation set does not give trainable annotations.
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## 3. WTW Chinese scene table dataset
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- **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.
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