RQLuo/MixTeX-DataHub

LaTeXDataHub is an open-source platform dedicated to the sharing and contribution of real-world LaTeX image datasets and their annotations, allows users to upload, download, and contribute to a growing collection of high-quality LaTeX datasets.

21
/ 100
Experimental

LaTeXDataHub helps researchers, educators, and data scientists gather and share high-quality LaTeX images and their corresponding text annotations. You can upload various types of LaTeX content, such as modern printed documents, handwritten notes, or even blackboard lectures, and in return, you get access to a growing collection of diverse LaTeX datasets. This platform is for anyone working with LaTeX who needs to build or improve tools for processing scientific documents, especially those involving optical character recognition (OCR).

No commits in the last 6 months.

Use this if you need to find specialized datasets of LaTeX images and their text representations for training AI models, or if you want to contribute your own LaTeX image data to a collaborative open-source project.

Not ideal if you are looking for a tool to directly convert your LaTeX images into text without needing to manage or contribute to datasets.

academic-publishing scientific-computing document-analysis education-technology mathematics
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 0 / 25

How are scores calculated?

Stars

12

Forks

Language

Jupyter Notebook

License

MIT

Category

latex-ocr-tools

Last pushed

Aug 13, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/RQLuo/MixTeX-DataHub"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.