| # ACI-BENCH | |
| ## Introduction | |
| This repository contains the data and source code for: | |
| **Aci-bench: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation". Wen-wai Yim, Yujuan Fu, Asma Ben Abacha, Neal Snider, Thomas Lin, Meliha Yetisgen. Submitted to Nature Scientific Data, 2023.** | |
| https://www.nature.com/articles/s41597-023-02487-3 | |
| ``` | |
| @article{aci-bench, | |
| author = {Wen{-}wai Yim and | |
| Yujuan Fu and | |
| Asma {Ben Abacha} and | |
| Neal Snider and Thomas Lin and Meliha Yetisgen}, | |
| title = {ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation}, | |
| journal = {Nature Scientific Data}, | |
| year = {2023} | |
| } | |
| ``` | |
| ## Data statistics | |
| The ACI-BENCH collection consists of full doctor-patient conversations and associated clinical notes and includes the data splits from the [MEDIQA-CHAT 2023](https://sites.google.com/view/mediqa2023/clinicalnlp-mediqa-chat-2023) and [MEDIQA-SUM 2023](https://www.imageclef.org/2023/medical/mediqa) challenges: | |
| ``` | |
| TRAIN: 67 | |
| VALID: 20 | |
| TEST1: 40 ( MEDIQA-CHAT TASK B test set ) | |
| TEST2: 40 ( MEDIQA-CHAT TASK C test set ) | |
| TEST3: 40 ( MEDIQA-SUM TASK C test set ) | |
| ``` | |
| ## License | |
| The data here is published under a Creative Commons Attribution 4.0 International Licence (CC BY). | |
| https://creativecommons.org/licenses/by/4.0/ | |
| ## Contact | |
| - Asma Ben abacha (abenabacha at microsoft dot com) | |
| - Wen-wai Yim (yimwenwai at microsoft dot com) | |