Datasets:
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Update README.md
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README.md
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@@ -48,7 +48,7 @@ At last, in order to use Hugging Face notebooks on fine-tuning layout models lik
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For all these reasons, I decided to process the DocLayNet dataset:
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- into 3 datasets of different sizes:
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- [DocLayNet small](https://huggingface.co/datasets/pierreguillou/DocLayNet-small) < 1.000k document images
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- [DocLayNet base](https://huggingface.co/datasets/pierreguillou/DocLayNet-base) < 10.000k document images- with associated texts,
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- DocLayNet large with full dataset (to be done)
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- and in a format facilitating their use by HF notebooks.
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})
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```
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### HF notebooks
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- [notebooks LayoutLM](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/LayoutLM) (Niels Rogge)
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For all these reasons, I decided to process the DocLayNet dataset:
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- into 3 datasets of different sizes:
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- [DocLayNet small](https://huggingface.co/datasets/pierreguillou/DocLayNet-small) < 1.000k document images (691 train, 64 val, 49 test)
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- [DocLayNet base](https://huggingface.co/datasets/pierreguillou/DocLayNet-base) < 10.000k document images- with associated texts,
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- DocLayNet large with full dataset (to be done)
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- and in a format facilitating their use by HF notebooks.
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})
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```
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## Annotated bounding boxes
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The DocLayNet base makes easy to display document image with the annotaed bounding boxes of paragraphes or lines.
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Check the notebook [processing_DocLayNet_dataset_to_be_used_by_layout_models_of_HF_hub.ipynb]() in order to get the code.
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### Paragraphes
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### Lines
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### HF notebooks
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- [notebooks LayoutLM](https://github.com/NielsRogge/Transformers-Tutorials/tree/master/LayoutLM) (Niels Rogge)
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