Update README.md

README.md

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 ---
 license: cc-by-nc-sa-4.0
+task_categories:
+- summarization
+language:
+- fr
+tags:
+- NLP
+- Debates
+- Abstractive_Summarization
+- Extractive_Summarization
+- French
+pretty_name: FREDsum
+size_categories:
+- n<1K
 ---
+
+# Dataset Summary 
+
+The FREDSum dataset is a comprehensive collection of transcripts and metadata from various political and public debates in France. The dataset aims to provide researchers, linguists, and data scientists with a rich source of debate content for analysis and natural language processing tasks.
+
+## Languages 
+
+French
+
+# Dataset Structure
+
+The dataset is made of 144 debates, 115 of the debates make up the train set, while 29 make up the test set
+
+## Data Fields
+
+- id : Unique ID of an exemple
+- Transcript : The text of the debate
+- Abstractive_1-3 : Human summary of the debate
+- Extractive_1-2 : Human selection of important utterances from the source debate
+
+## Data splits
+
+- train : 115
+- test : 29
+
+# Licensing Information
+
+non-commercial licence: CC BY-NC-ND 4.0
+
+# Citation Information
+
+If you use this dataset, please cite the following article:
+
+    Virgile Rennard, Guokan Shang, Damien Grari, Julie Hunter, and Michalis Vazirgiannis. 2023. FREDSum: A Dialogue Summarization Corpus for French Political Debates. In Findings of the Association for Computational Linguistics: EMNLP 2023, pages 4241–4253, Singapore. Association for Computational Linguistics.