Update README.md

README.md

@@ -15,19 +15,6 @@ In total, there are 221,348 training data, **910** validation data and 6,376 tes
 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.
 
 
-## Datasets details
-
-| Dataset     | Format      | Train split | Dev split   | Test split  | Available in frenchQA |
-| ----------- | ----------- | ----------- | ----------- | ----------- | ------------------------ |
-| [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 |         
-| [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 |         
-| pragnakalp/squad_v2_french_translated_v2| SQuAD 2.0    | 79 069 Q & A  | X  | X  |  Yes |
-
 #  Usage
 ```
 from datasets import load_dataset
@@ -47,8 +34,23 @@ DatasetDict({
 })
 ```
 
-## Columns
 
+# Dataset
+## Dataset details
+
+| Dataset     | Format      | Train split | Dev split   | Test split  | Available in frenchQA |
+| ----------- | ----------- | ----------- | ----------- | ----------- | ------------------------ |
+| [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 |         
+| [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 |         
+| pragnakalp/squad_v2_french_translated_v2| SQuAD 2.0    | 79 069 Q & A  | X  | X  |  Yes |
+
+
+## Columns
 ```
 dataset_train = dataset['train'].to_pandas()
 dataset_train.head()
@@ -68,11 +70,11 @@ dataset_train.head()
 - the `dataset` column identifies the row's original dataset (if you wish to apply filters to it, rows in SQuAD v2 format are indicated with the suffix `_v2` in the dataset name)
 
 ## 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)
+- `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)
 
 
-# Statistics
+# Question type statistics
 
 The question type distribution is as follows: