Update README.md

README.md

@@ -18,7 +18,7 @@ license: cc-by-4.0
 ---
 
 # Dataset information 
-**Dataset concatenating all Summarization datasets, available in (native) French and open-source.**  
+**Dataset concatenating Summarization datasets available in French and open-source.**  
 There are a total of **816,148** rows, of which 762,833 are for training, 26,935 for validation and 26,380 for testing.  
 
 
@@ -112,30 +112,41 @@ dataset_train.head()
 # Citations
 
 ### alpaca_motivations_sommaires
-> https://huggingface.co/datasets/maurya/alpaca_motivations_sommaires by Amaury Fouret (2023)
+```
+Dataset by Amaury FOURET (2023) 
+Hugging Face repository: https://huggingface.co/datasets/maurya/alpaca_motivations_sommaires
+```
 
 ### FakeNewsDetectionFr
-> https://github.com/jeugregg/FakeNewsDetectionFr by Gregory LANG (2019)
+```
+Dataset by Gregory LANG (2019) 
+Hugging Face repository: https://github.com/jeugregg/FakeNewsDetectionFr
+```
 
 ### fr_covid_news_8k
-> @dataset{covidfrenchnews,  
+```
+@dataset{covidfrenchnews,  
   author = {Gustave Cortal},  
   year = {2021},  
   month = {03},  
   title = {COVID-19: French news dataset},  
   url = {https://www.gustavecortal.com}}
+```
 
 ### CrossSum
-> @misc{bhattacharjee2023crosssum,  
+```
+@misc{bhattacharjee2023crosssum,  
       title={CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs},  
       author={Abhik Bhattacharjee and Tahmid Hasan and Wasi Uddin Ahmad and Yuan-Fang Li and Yong-Bin Kang and Rifat Shahriyar},  
       year={2023},  
       eprint={2112.08804},  
       archivePrefix={arXiv},  
       primaryClass={cs.CL}}
+```
 
 ### mlsum
-> @inproceedings{scialom-etal-2020-mlsum,  
+```
+@inproceedings{scialom-etal-2020-mlsum,  
     title = "{MLSUM}: The Multilingual Summarization Corpus",   
     author = "Scialom, Thomas and Dray, Paul-Alexis  and Lamprier, Sylvain and Piwowarski, Benjamin and Staiano, Jacopo",
     editor = "Webber, Bonnie and Cohn, Trevor and He, Yulan and Liu, Yang",  
@@ -147,16 +158,20 @@ dataset_train.head()
     url = "https://aclanthology.org/2020.emnlp-main.647",  
     doi = "10.18653/v1/2020.emnlp-main.647",  
     pages = "8051--8067"}
+```
 
 ### orange_sum
-> @article{eddine2020barthez,  
+```
+@article{eddine2020barthez,  
   title={BARThez: a Skilled Pretrained French Sequence-to-Sequence Model},  
   author={Eddine, Moussa Kamal and Tixier, Antoine J-P and Vazirgiannis, Michalis},  
   journal={arXiv preprint arXiv:2010.12321},  
   year={2020}}
+```
 
 ### xlsum
-> @inproceedings{hasan-etal-2021-xl,  
+```
+@inproceedings{hasan-etal-2021-xl,  
     title = "{XL}-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages",  
     author = "Hasan, Tahmid and Bhattacharjee, Abhik and Islam, Md. Saiful  and Mubasshir, Kazi and Li, Yuan-Fang and Kang, Yong-Bin and Rahman, M. Sohel and Shahriyar, Rifat",  
     editor = "Zong, Chengqing  and Xia, Fei and Li, Wenjie and Navigli, Roberto",  
@@ -168,20 +183,23 @@ dataset_train.head()
     url = "https://aclanthology.org/2021.findings-acl.413",  
     doi = "10.18653/v1/2021.findings-acl.413",  
     pages = "4693--4703"}
-
+```
 
 ### xwikis
-> @misc{perezbeltrachini2022models,  
+```
+@misc{perezbeltrachini2022models,  
       title={Models and Datasets for Cross-Lingual Summarisation},  
       author={Laura Perez-Beltrachini and Mirella Lapata},  
       year={2022},  
       eprint={2202.09583},  
       archivePrefix={arXiv},  
       primaryClass={cs.CL}}
+```
 
 ### FrenchSUM
-> A GENERER
-
+```
+A GENERER
+```
 
 # License
 [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/deed.en)