Update README.md

README.md

@@ -10,12 +10,14 @@ license: cc-by-4.0
 
 # Dataset information 
 **Dataset concatenating QA datasets with context available in French and open-source.**  
-In addition, an augmented version of these datasets has been added (same context but different questions to create data in SQuADv2 format).  
-In total, there are 221,348 training data, **910** validation data and 6,376 test data (the first 3,188 rows correspond to SQuADv2 format, the remaining 3,188 to SQuADv2 format). 
-In practice, due to the restrictive license for the FQUAD 1.0 dataset, we can only share **179,886** rows of the 221,348 training data and not the test dataset.  
+In addition, an augmented version of these datasets has been added (same context but different questions to create data in SQuAD 2.0 format).  
+In total, there are 221,348 training data, **910** validation data and 6,376 test data.   
+In practice, due to the restrictive license for the FQUAD 1.0 dataset, we can only share **200,617** rows of the 221,348 training data and **3,188** rows of the 6,376 test data.  
+So to obtain the complete dataset, the user will have to concatenate this dataset with the fquad dataset available [here](https://fquad.illuin.tech/).
 Our methodology is described in a blog post available in [English](https://blog.vaniila.ai/en/QA_en/) or [French](https://blog.vaniila.ai/QA/).
 
 
+
 #  Usage
 ```
 from datasets import load_dataset
@@ -26,12 +28,16 @@ dataset
 DatasetDict({
     train: Dataset({
         features: ['context', 'question', 'answer', 'answer_start', 'dataset'],
-        num_rows: 179886
+        num_rows: 200617
     })
     validation: Dataset({
         features: ['context', 'question', 'answer', 'answer_start', 'dataset'],
         num_rows: 910
     })
+    test: Dataset({
+        features: ['id', 'title', 'context', 'question', 'answers'],
+        num_rows: 3188
+    })
 })
 ```
 
@@ -44,7 +50,7 @@ DatasetDict({
 | [piaf](https://www.data.gouv.fr/en/datasets/piaf-le-dataset-francophone-de-questions-reponses/)| SQuAD 1.0    | 9 224 Q & A  | X  | X  |  Yes |
 | piaf_v2| SQuAD 2.0    | 9 224 Q & A  | X  | X  | Yes |        
 | [fquad](https://fquad.illuin.tech/)| SQuAD 1.0    | 20 731 Q & A | 3 188 Q & A  (is not used for training, but as a test dataset) | 2 189 Q & A (not freely available)| No due to the license |        
-| fquad_v2 | SQuAD 2.0    | 20 731 Q & A | 3 188 Q & A  (is not used for training, but as a test dataset) | X | No due to the license |         
+| fquad_v2 | SQuAD 2.0    | 20 731 Q & A | 3 188 Q & A  (is not used for training, but as a test dataset) | X | Yes |         
 | [lincoln/newsquadfr](https://huggingface.co/datasets/lincoln/newsquadfr) | SQuAD 1.0    | 1 650 Q & A  | 455 Q & A | X |   Yes |          
 | lincoln/newsquadfr_v2 | SQuAD 2.0   | 1 650 Q & A  | 455 Q & A | X |  Yes |         
 | [pragnakalp/squad_v2_french_translated](https://huggingface.co/datasets/pragnakalp/squad_v2_french_translated)| SQuAD 2.0    | 79 069 Q & A  | X  | X  |  Yes |         
@@ -73,6 +79,7 @@ dataset_train.head()
 ## Split
 - `train` corresponds to the concatenation of the training dataset from `pragnakalp/squad_v2_english_translated` + `lincoln/newsquadfr` + `PIAFv1.2` + the augmented version of each dataset in SQuADv2 format (no shuffle has been performed)
 - `validation` corresponds to the concatenation of the newsquadfr validation dataset + this same dataset expanded in SQuAD v2 format (= newsquadfr_v2) (no shuffle performed)
+- `test` corresponds to the concatenation of the fquad dataset SQuAD v1 in SQuAD v2 format (here we can only share the SQuAD v2 format)
 
 
 # Question type statistics