Update README.md

README.md

@@ -9,14 +9,24 @@ task_categories:
 - token-classification
 tags:
 - ner
+- DFP
+- french prompts
+annotations_creators:
+- found
+language_creators:
+- found
+multilinguality:
+- monolingual
+source_datasets:
+- wikiner
 ---
 
 # wikiner_fr_prompt_ner
 ## Summary
 
-**wikiner_fr_prompt_ner** is a subset of the [**Dataset of French Prompts (DFP)**]().
-It contains **X** rows that can be used for a name entity recognition task.
-The original data (without prompts) comes from the dataset [wikiner](https://huggingface.co/datasets/Jean-Baptiste/wikiner_fr) by Nothman et al. where only the French part has been kept.
+**wikiner_fr_prompt_ner** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).  
+It contains **2,534,322** rows that can be used for a name entity recognition task.  
+The original data (without prompts) comes from the dataset [wikiner](https://huggingface.co/datasets/Jean-Baptiste/wikiner_fr) by Nothman et al. 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.
 
 
@@ -59,9 +69,10 @@ wikiner_fr['train']['ner_tags'] = list(map(lambda x: x.replace("[","").replace("
 
 
 # Splits
-- train with X samples
-- dev with Y samples
-- test with Z samples
+- `train` with 2,534,322 samples
+- no `valid` split
+- no `test` split
+
 
 
 # How to use?