Update README.md

README.md

@@ -12,10 +12,10 @@ task_ids:
 - semantic-similarity-scoring
 ---
 
-# stsb_multi_mt_fr_prompt
+# stsb_multi_mt_fr_prompt_sentence_similarity
 ## Summary
 
-**stsb_multi_mt_fr_prompt** is a subset of the [**Dataset of French Prompts (DFP)**]().
+**stsb_multi_mt_fr_prompt_sentence_similarity** is a subset of the [**Dataset of French Prompts (DFP)**]().
 It contains **X** rows that can be used for a semantic similarity scoring task.
 The original data (without prompts) comes from the dataset [stsb_multi_mt](https://huggingface.co/datasets/stsb_multi_mt) by May where only the French part has been kept.
 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.
@@ -64,7 +64,8 @@ targets = float(stsb['train'][i]['similarity_score'])/5.0)
 
 # How to use?
 ```
-dataset = load_dataset('stsb_multi_mt_fr_prompt') 
+from datasets import load_dataset
+dataset = load_dataset("CATIE-AQ/stsb_multi_mt_fr_prompt_sentence_similarity")
 ```
 
 # Citation