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- # ACI-BENCH
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- ## Introduction
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- This repository contains the data and source code for:
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- **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.**
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- https://www.nature.com/articles/s41597-023-02487-3
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-
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- ```
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- @article{aci-bench,
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-   author = {Wen{-}wai Yim and
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-                 Yujuan Fu and
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-                 Asma {Ben Abacha} and
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-                 Neal Snider and Thomas Lin and Meliha Yetisgen},
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-   title = {ACI-BENCH: a Novel Ambient Clinical Intelligence Dataset for Benchmarking Automatic Visit Note Generation},
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-   journal = {Nature Scientific Data},
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-   year = {2023}
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- }
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- ```
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-
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- ## Data statistics
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- 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:
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- ```
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- TRAIN: 67
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- VALID: 20
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- TEST1: 40 ( MEDIQA-CHAT TASK B test set )
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- TEST2: 40 ( MEDIQA-CHAT TASK C test set )
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- TEST3: 40 ( MEDIQA-SUM TASK C test set )
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- ```
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-
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- ## License
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- The data here is published under a Creative Commons Attribution 4.0 International Licence (CC BY).
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- https://creativecommons.org/licenses/by/4.0/
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- ## Contact
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- - Asma Ben abacha (abenabacha at microsoft dot com)
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- - Wen-wai Yim (yimwenwai at microsoft dot com)
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-