---
license: apache-2.0
task_categories:
- question-answering
language:
- en
tags:
- medical
---

This is the drug-matching dataset between generic and brand keywords for the RABBIT leaderboard [🐰](https://huggingface.co/spaces/AIM-Harvard/rabbits-leaderboard).

And here is the paper: [arxiv](arxiv.org/abs/2406.12066)

```bibtex
@misc{gallifant2024language,
      title={Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks}, 
      author={Jack Gallifant and Shan Chen and Pedro Moreira and Nikolaj Munch and Mingye Gao and Jackson Pond and Leo Anthony Celi and Hugo Aerts and Thomas Hartvigsen and Danielle Bitterman},
      year={2024},
      eprint={2406.12066},
      archivePrefix={arXiv},
      primaryClass={id='cs.CL' full_name='Computation and Language' is_active=True alt_name='cmp-lg' in_archive='cs' is_general=False description='Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.'}
}
```