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license: cc-by-nc-4.0
---
# Aftermath of DrawEduMath
This contains `sampled_images_per_problem.json`, for recreating the results of the paper titled "The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors".
This file contains stratified samples of images per problem, with equal numbers of erroneous and error-free student images. The key is the number of images sampled. In the paper, for our experiments involving redrawn student images, we only use the samples of 1 erroneous image and 1 error-free image.
Please consult the datacard for [DrawEduMath](https://huggingface.co/datasets/allenai/DrawEduMath) for detailed information about data source.
Quick links:
- Aftermath of DrawEduMath code: https://github.com/lucy3/aftermath_drawedumath/tree/main
- Aftermath of DrawEduMath paper: https://arxiv.org/abs/2603.00925
## Example Use
```
import json
with open('sampled_images_per_problem.json', 'r') as infile:
sampled_images_per_problem = json.load(infile)
```
## License
This dataset is licensed under CC-BY-NC-4.0. It is intended for research and educational purposes following ASSISTments's [Responsible Use Guidelines](https://sites.google.com/view/e-trials/resources/guidelines-for-drawedumath).
## Citation
```
@misc{lucy2026aftermathdrawedumathvisionlanguage,
title={The Aftermath of DrawEduMath: Vision Language Models Underperform with Struggling Students and Misdiagnose Errors},
author={Li Lucy and Albert Zhang and Nathan Anderson and Ryan Knight and Kyle Lo},
year={2026},
eprint={2603.00925},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2603.00925},
}
``` |