Official repository for [paper / benchmark / dataset name].
Short 1–2 sentence summary of the project. Link to our Website (if available) Include DOI if available
Briefly describe the problem addressed by this work, the main contribution, and what is provided in this repository. Keep this section short and clear.
Describe:
- what dataset(s) are used or released
- where to download them
- where to place them locally (if needed)
- whether preprocessing is required
If needed, add detailed instructions in data/README.md.
git clone <repo-url>
cd <repo-name>
pip install -r requirements.txtAdd extra setup instructions here only if needed.
Provide the main commands needed to use the repository.
Example:
python scripts/train.py --config configs/default.yaml
python scripts/evaluate.py --config configs/default.yamlIf this is a dataset or benchmark repository, replace the commands above with the main commands users actually need.
Briefly explain:
- where checkpoints are stored
- where outputs such as figures, tables, or predictions are saved
- whether released artifacts are available
please cite:
@article{yourpaper2026,
title={Paper Title},
author={Author One and Author Two},
journal={arXiv preprint arXiv:xxxx.xxxxx},
year={2026}
}- OLIVES Lab Email