Hugging Face· PlatformResearch paper

Docmatix - a huge dataset for Document Visual Question Answering

Hugging Face releases Docmatix, a large-scale dataset for Document Visual Question Answering (DocVQA), 240 times larger than previous datasets. It is generated from PDFA OCR dataset using Phi-3-small model for Q/A pair creation, with filtering for hallucinations. The dataset contains 2.4 million images and 9.5 million Q/A pairs from 1.3 million PDFs. Ablation studies using Florence-2 model show a 20% improvement in DocVQA performance.

From the source

With this blog we are releasing Docmatix - a huge dataset for Document Visual Question Answering (DocVQA) that is 100s of times larger than previously available.

huggingface.co

Announced

18 Jul 2024 00:00 UTC

Detected

03 Aug 2026 21:12 UTC (+746d after)