Update README.md

README.md

@@ -19,11 +19,11 @@ source_datasets:
 - french_book_reviews
 ---
 
-# french_book_reviews_fr_prompt_text_generation_from_title_base_sentiment_analysis
+# french_book_reviews_fr_prompt_binary_text_generation_from_title_of_a_review
 
 ## Summary
 
-**french_book_reviews_fr_prompt_text_generation_from_title_base_sentiment_analysis** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).   
+**french_book_reviews_fr_prompt_binary_text_generation_from_title_of_a_review** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).   
 It contains **347,688** rows that can be used for a text generation task.  
 The original data (without prompts) comes from the dataset [french_book_reviews](https://huggingface.co/datasets/Abirate/french_book_reviews).  
 A list of prompts (see below) was then applied in order to build the input and target columns and thus obtain the same format as the [xP3](https://huggingface.co/datasets/bigscience/xP3) dataset by Muennighoff et al.
@@ -129,7 +129,7 @@ targets = fbr['train']['reader_review'][i]
 # How to use?
 ```
 from datasets import load_dataset
-dataset = load_dataset("CATIE-AQ/french_book_reviews_fr_prompt_text_generation_from_title_base_sentiment_analysis")
+dataset = load_dataset("CATIE-AQ/french_book_reviews_fr_prompt_binary_text_generation_from_title_of_a_review")
 ```
 
 # Citation