Update README.md

README.md

@@ -65,7 +65,7 @@ task_ids:
 
 ### Dataset Summary
 
-The COVID-19 French News dataset is a French-language dataset containing just over 40k unique news articles from more than 50 different French-speaking online newspapers. The dataset has been prepared using news-please - an integrated web crawler and information extractor for news. The current version supports abstractive summarization and topic classification. Dataset Card not finished yet.
+The COVID-19 French News dataset is a French-language dataset containing just over 40k unique news articles from more than 50 different French-speaking online newspapers. The dataset has been prepared using [news-please](https://github.com/fhamborg/news-please) - an integrated web crawler and information extractor for news. The current version supports abstractive summarization and topic classification. Dataset Card not finished yet.
 
 ### Languages
 
@@ -86,6 +86,10 @@ The text in the dataset is in French.
 - `url`: article URL, the original URL where it was scraped
 - `labels`: classification labels
 
+## Data Splits
+
+COVID-19 French News dataset has only the training set, i.e. it has to be loaded with train split specified: fr_covid_news = load_dataset('gustavecortal/fr_covid_news', split="train")
+
 ## Dataset Creation
 
 ### Curation Rationale
@@ -109,13 +113,13 @@ The text in the dataset is in French.
 
 ### Personal and Sensitive Information
 
-[More Information Needed]
+As one can imagine, data contains contemporary public figures or individuals who appeared in the news.
 
 ## Considerations for Using the Data
 
 ### Social Impact of Dataset
 
-[More Information Needed]
+The purpose of this dataset is to help researchers develop better French topic classification and abstractive summarization models for news related to COVID-19.
 
 ### Discussion of Biases