Omkar2118/datasets huggingface dataset:
FormulaNet

# FormulaNet

FormulaNet is a new large-scale Mathematical Formula Detection dataset. It consists of 46'672 pages of STEM documents from [arXiv](arxiv.org) and has 
13 types of labels. The dataset is split into a [train](Dataset/train) set of 44'338 pages and a [validation](Dataset/val) set of 2'334 pages. Due to 
copyrights reasons, we can only provide the [list](urls.txt) of papers, which must be downloaded and processed.

## Labels

* inline formulae
* display formulae
* headers
* tables
* figures
* paragraphs
* captions
* footnotes
* lists
* bibliographies
* display formulae reference number
* display formulae with reference number
* footnote reference number

Introducing paper: FormulaNet: A Benchmark Dataset for Mathematical Formula Detection