Update README.md

README.md

@@ -4,17 +4,27 @@ language:
 license: 
 - cc-by-4.0
 size_categories:
-- 10K<n<100K
+- n<1K
 tags:
 - coreference
+- DFP
+- french prompts
+annotations_creators:
+- found
+language_creators:
+- found
+multilinguality:
+- monolingual
+source_datasets:
+- xwinograd
 ---
 
 # xwinograd_fr_prompt_coreference
 ## Summary
 
-**xwinograd_fr_prompt_coreference** is a subset of the [**Dataset of French Prompts (DFP)**]().
-It contains **X** rows that can be used for a coreference task.
-The original data (without prompts) comes from the dataset [xwinograd](https://huggingface.co/datasets/Muennighoff/xwinograd) by Muennighoff where only the French part has been kept.
+**xwinograd_fr_prompt_coreference** is a subset of the [**Dataset of French Prompts (DFP)**](https://huggingface.co/datasets/CATIE-AQ/DFP).  
+It contains **830** rows that can be used for a coreference task.  
+The original data (without prompts) comes from the dataset [xwinograd](https://huggingface.co/datasets/Muennighoff/xwinograd) by Muennighoff 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.
 
 
@@ -47,9 +57,9 @@ targets = str(xwinograd['test'][i]['answer']).replace("1",xwinograd['test'][i]['
 
 
 # Splits
-- train with X samples
-- dev with Y samples
-- test with Z samples
+- `train` with 830 samples
+- no `valid` split
+- no `test` split
 
 
 # How to use?