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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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@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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## 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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## 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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