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AIM-Harvard/rabbit_b4bqa

This is the drug-matching dataset between generic and brand keywords for the RABBIT leaderboard 🐰. And here is the paper: arxiv @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}… See the full description on the dataset page: https://huggingface.co/datasets/AIM-Harvard/rabbit_b4bqa.

sourceHugging Faceapache-2.0updated 2y agoView on Hugging Face
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79ee9c92y ago

Update README.md

shanchen
d3b14412y ago

Rename b4bqa.csv to test.csv

shanchen
ab2d9602y ago

Upload b4bqa.csv

shanchen
14ef71b2y ago

Delete test-00000-of-000001.csv

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4d1ec002y ago

Upload test-00000-of-000001.csv

shanchen
16abdf62y ago

initial commit

shanchen