README.md

---
task_categories:
- question-answering
language:
- fr
size_categories:
- 100K<n<1M
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 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
dataset = load_dataset("CATIE-AQ/frenchQA",sep=";")
```
```
dataset
DatasetDict({
    train: Dataset({
        features: ['context', 'question', 'answer', 'answer_start', 'dataset'],
        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
    })
})
```


# 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 | 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 |         
| 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()

   	context 	                                        question 	                                        answer 	                    answer_start 	dataset
0 	Beyoncé Giselle Knowles-Carter (/ biːˈjɒnseɪ /... 	Quand Beyonce a-t-elle commencé à devenir popu... 	à la fin des années 1990 	269 	        pragnakalp/squad_v2_french_translated
1 	Beyoncé Giselle Knowles-Carter (/ biːˈjɒnseɪ /... 	Quand Beyonce a-t-elle quitté Destiny's Child ... 	2003 	                    549 	        pragnakalp/squad_v2_french_translated
2 	Beyoncé Giselle Knowles-Carter (/ biːˈjɒnseɪ /... 	Qui a dirigé le groupe Destiny's Child ? 	        Mathew Knowles 	            376 	        pragnakalp/squad_v2_french_translated
3 	Beyoncé Giselle Knowles-Carter (/ biːˈjɒnseɪ /... 	Quand Beyoncé a-t-elle sorti Dangerously in Lo... 	2003 	                    549 	        pragnakalp/squad_v2_french_translated
4 	Beyoncé Giselle Knowles-Carter (/ biːˈjɒnseɪ /... 	Combien de Grammy Awards Beyoncé a-t-elle gagn... 	cinq 	                    629 	        pragnakalp/squad_v2_french_translated
```

- the `context` column contains the context
- the `question` column contains the question
- the `answer` column contains the answer (has been replaced by `no_answer` for rows in SQuAD v2 format)
- the `answer_start` column contains the start position of the answer in the context (has been replaced by `-1` for rows in SQuAD v2 format)
- 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)
- `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

The question type distribution is as follows:

| Type of question | Frequency in percent |
| -----------      | ----------- |
|What (que)        |55.02|
|Who (qui)         |15.96|
|How much (combien)|7.92|
|When (quand)      |6.90|
|Where (où)        |3.15|
|How (comment)     |3.76|
|What (quoi)       |2.60|
|Why (pourquoi)    |1.25|
|Other             |3.44|

The number of questions containing a negation, e.g. "What was the name of Chopin's first music teacher who was not an amateur musician?", is estimated at 3.55% of the total questions.


For information, the distribution of the complete dataset (containing FQUAD 1.0 and FQUAD 1.0 data in SQUAD 2.0 format) is as follows:

| Type of question | Frequency in percent |
| -----------      | ----------- |
|What (que)        |55.12|
|Who (qui)         |16.24|
|How much (combien)|7.56|
|When (quand)      |6.85|
|Where (où)        |3.98|
|How (comment)     |3.76|
|What (quoi)       |2.94|
|Why (pourquoi)    |1.41|
|Other             |2.14|

The number of questions containing a negation, e.g. "What was the name of Chopin's first music teacher who was not an amateur musician?", is estimated at 3.07% of the total questions.


# Citation
```
@misc {frenchQA2023,  
    author       = { {ALBAR, Boris and BEDU, Pierre and BOURDOIS, Loïck} },  
    organization  = { {Centre Aquitain des Technologies de l'Information et Electroniques} },  
    title        = { frenchQA (Revision 6249cd5) },  
    year         = 2023,  
    url          = { https://huggingface.co/CATIE-AQ/frenchQA },  
    doi          = { 10.57967/hf/0862 },  
    publisher    = { Hugging Face }  
}
```

# License
[cc-by-4.0](https://creativecommons.org/licenses/by/4.0/deed.en)