saidabizi/Project

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 and MEDIQA-SUM 2023 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)