We evaluated several VLM models—both open and closed source—on BigDocs-Bench to build a leaderboard.

📊 Models trained on BigDocs outperformed all models on BigDocs-Bench tasks and delivered rebust performance on established benchmarks.
✅ Human evaluations confirmed their strong performance!

To validate the quality of the BigDocs datasets, we trained several VLMs on BigDocs-7.5M and evaluated their performance on document-specific and general VLM benchmarks.

The results? Training on BigDocs provides significant boosts compared to training on other datasets! 📈✨

We introduce BigDocs-Bench, a set of benchmarks that focus on:

📄 Document Understanding
🌐 Web and GUI reasoning
👨‍💻 Code Generation

We also tackle complex outputs like SVG, LaTeX code, Markdown, and HTML, including very long and structured formats. Here are some examples

Building BigDocs was no small feat! We curated a large-scale dataset from diverse, license-friendly sources and documented the entire process.

🎉 Excited to introduce BigDocs!
An open, transparent multimodal dataset designed for:
📄 Documents
🌐 Web content
🖥️ GUI understanding
👨‍💻 Code generation from images
We’re also launching BigDocs-Bench:
➡️ Document, Web, GUI Visual reasoning
➡️ Converting images into JSON, Markdown, LaTeX, SVG, and more!