---
title: LLM Enzyme Kinetics Benchmark Leaderboard
emoji: 🧪
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.12.0
app_file: app.py
python_version: 3.12
pinned: false
license: mit
---

# LLM Enzyme Kinetics Extraction Benchmark Leaderboard

Interactive leaderboard for comparing LLM performance on enzyme kinetics extraction from scientific literature.

## 🏆 Features

- Live leaderboard with real-time rankings
- Interactive filters (model provider, OCR type)
- Performance visualizations
- Result submission system
- Timeline tracking

## 📊 Benchmark Info

- **Papers**: 156 peer-reviewed publications
- **Entries**: 4,244 enzyme kinetic entries
- **Parameters**: Km, kcat, kcat/Km
- **OCR Types**: Mathpix, Kimi, PyMuPDF

## 🚀 How to Participate

1. Clone the main repository
2. Run the benchmark: `python scripts/run_benchmark.py --mode full`
3. Submit your results through this leaderboard!

## 📚 Documentation

- [Full Documentation](https://github.com/JackKuo666/LLM-Enzyme-Kinetics-Golden-Benchmark)
- [Usage Guide](https://github.com/JackKuo666/LLM-Enzyme-Kinetics-Golden-Benchmark/blob/main/USAGE.md)