Datasets:

pierreguillou
/

DocLayNet-base

Tasks:

Object Detection

Image Segmentation

Token Classification

Sub-tasks:

instance-segmentation

Languages:

Size Categories:

Annotations Creators:

ArXiv:

Tags:

Financial-Reports

License:

Dataset card Viewer Files Files and versions Community

pierreguillou commited on Jan 28, 2023

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@@ -86,6 +86,8 @@ Citation of the page 3 of the [DocLayNet paper](https://arxiv.org/abs/2206.01062
 Citation of the page 3 of the [DocLayNet paper](https://arxiv.org/abs/2206.01062):
 "The pages in DocLayNet can be grouped into **six distinct categories**, namely **Financial Reports, Manuals, Scientific Articles, Laws & Regulations, Patents and Government Tenders**. Each document category was sourced from various repositories. For example, Financial Reports contain both free-style format annual reports which expose company-specific, artistic layouts as well as the more formal SEC filings. The two largest categories (Financial Reports and Manuals) contain a large amount of free-style layouts in order to obtain maximum variability. In the other four categories, we boosted the variability by mixing documents from independent providers, such as different government websites or publishers. In Figure 2, we show the document categories contained in DocLayNet with their respective sizes."
 ### Download & overview
 The size of the DocLayNet small is about 10% of the DocLayNet dataset (random selection respectively in the train, val and test files).

 Citation of the page 3 of the [DocLayNet paper](https://arxiv.org/abs/2206.01062):
 "The pages in DocLayNet can be grouped into **six distinct categories**, namely **Financial Reports, Manuals, Scientific Articles, Laws & Regulations, Patents and Government Tenders**. Each document category was sourced from various repositories. For example, Financial Reports contain both free-style format annual reports which expose company-specific, artistic layouts as well as the more formal SEC filings. The two largest categories (Financial Reports and Manuals) contain a large amount of free-style layouts in order to obtain maximum variability. In the other four categories, we boosted the variability by mixing documents from independent providers, such as different government websites or publishers. In Figure 2, we show the document categories contained in DocLayNet with their respective sizes."
+![DocLayNet PDFs categories distribution (source: DocLayNet paper)](https://huggingface.co/datasets/pierreguillou/DocLayNet-base/resolve/main/DocLayNet_PDFs_categories_distribution.png)
 ### Download & overview
 The size of the DocLayNet small is about 10% of the DocLayNet dataset (random selection respectively in the train, val and test files).