### Evaluation Criteria
Though we are providing the validation dataset for assigning the score to each participant. The score will be assigned usign the cosine similarity metric by comparing the similarity of model's output with the actual answer.
The major part of assessment is done from the following aspects :
1. **Technical Implementation**
   - Code quality and documentation
   - Pipeline robustness
   - Error handling
   - Reproducibility

2. **Scientific Understanding**
   - Accuracy of physical interpretations
   - Quality of generated data
   - Validation methodology
   - Edge case handling

3. **Innovation & Creativity**
   - Novel approaches to data generation
   - Creative evaluation methods
   - Efficiency of implementation
   - Additional data sources utilized

Showcase your skills, creativity, and understanding of PDEs and LLMs. We look forward to seeing your innovative solutions!