language:fr license:cc-by-4.0 arxiv:2311.03510 region:us
---
language:
- fr
viewer: false
license: cc-by-4.0
---


> [!NOTE]
> Dataset origin: https://zenodo.org/records/10080490


## Description
PxCorpus : A Spoken Drug Prescription Dataset in French

PxCorpus is to the best of our knowledge, the first spoken medical drug prescriptions corpus to be distributed.

It contains 4 hours of transcribed and annotated dialogues of drug prescriptions in French acquired through an experiment with 55 participants experts and non-experts  in drug prescriptions.

The automatic transcriptions were verified by human effort and aligned with semantic labels to allow training of NLP models. The data acquisition protocol was reviewed by medical experts and permit free distribution without breach of privacy and regulation.


## Overview of the Corpus

The experiment has been performed in wild conditions with naive participants and medical experts.

In total, the dataset includes 2067 recordings of 55 participants (38% non-experts, 25% doctors, 36% medical practitioners), manually transcribed and semantically annotated.

 

| Category             | Sessions | Recordings | Time(m)|

|-----------------------| ------------- | --------------- | ----------- |

| Medical experts  |     258      |       434       |    94.83  |

| Doctors               |     230      |       570       |  105.21  |

| Non experts        |     415      |       977       |    62.13  |

| Total                   |     903      |      1981      |  262.27  |


## Citation
```
@misc{kocabiyikoglu2023spoken,

     title={Spoken Dialogue System for Medical Prescription Acquisition on Smartphone: Development, Corpus and Evaluation},

     author={Ali Can Kocabiyikoglu and François Portet and Jean-Marc Babouchkine and Prudence Gibert and Hervé Blanchon and Gaëtan Gavazzi},

     year={2023},

     eprint={2311.03510},

     archivePrefix={arXiv},

     primaryClass={cs.CL}

}
```