SomanthaManuranga/QuantumCircuit-Dataset-Builder-Automated-Image-to-Text-Pipeline

This project builds an automated pipeline to generate a high-quality dataset of quantum circuit diagrams and metadata from arXiv “quant-ph” papers. It addresses the near-zero accuracy of general image-to-text models on specialized technical diagrams by enabling domain-specific training data.

12
/ 100
Experimental
No License No Package No Dependents
Maintenance 10 / 25
Adoption 1 / 25
Maturity 1 / 25
Community 0 / 25

How are scores calculated?

Stars

1

Forks

Language

Jupyter Notebook

License

Last pushed

Feb 10, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/SomanthaManuranga/QuantumCircuit-Dataset-Builder-Automated-Image-to-Text-Pipeline"

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