Update README.md

README.md

@@ -28,7 +28,8 @@ The Native subset bridges this gap, providing instruction–response data derive
 
 The native component combines curated datasets and web-scraped French medical resources to reflect authentic domain knowledge. It integrates the following resources:
 
-- **[S-Editions](https://s-editions.fr/)** – 526 question–answer pairs from a French educational platform for medical students.  
+- **[S-Editions](https://s-editions.fr/)**
+ 526 question–answer pairs from a French educational platform for medical students.  
 
 - **[MediQAl](https://github.com/abazoge/MediQAl)**:  
   32 603 items from national medical examinations covering 41 medical specialties.  
@@ -36,7 +37,7 @@ The native component combines curated datasets and web-scraped French medical re
 - **[FrenchMedMCQA](https://arxiv.org/abs/2304.04280)**:  
   3 105 pharmacy-focused multiple-choice questions.  
 
-- **[mlabonne/medical-cases-fr](https://huggingface.co/datasets/mlabonne/medical-cases-fr)** and **[mlabonne/medical-mcqa-fr](https://huggingface.co/datasets/mlabonne/medical-mcqa-fr)** ~\cite{mlabonne_medical_cases_fr, mlabonne_medical_mqca_fr}:  
+- **[mlabonne/medical-cases-fr](https://huggingface.co/datasets/mlabonne/medical-cases-fr)** and **[mlabonne/medical-mcqa-fr](https://huggingface.co/datasets/mlabonne/medical-mcqa-fr)**:  
   12 194 examples originating from French medical exam databases.  
 
 - **[FrBMedQA](https://www.researchgate.net/publication/365908538_FrBMedQA_the_first_French_biomedical_question_answering_dataset)**: