Update README.md

README.md

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 ## Model Description
 
-We present **QAmemBERT2**, which is a [CamemBERT v2 base](https://huggingface.co/almanach/camembertv2-base) model fine-tuned on [frenchQA](https://huggingface.co/datasets/CATIE-AQ/frenchQA), a SQuAD 2.0 format like dataset in French, representing **221,348 context/question/answer training triplets uand 6,376 to test**.    
+We present **QAmemBERT2**, which is a [CamemBERT v2 base](https://huggingface.co/almanach/camembertv2-base) fine-tuned for the Question-Answering task for the French language on four French Q&A datasets composed of contexts and questions with their answers inside the context (= SQuAD 1.0 format) but also contexts and questions with their answers not inside the context (= SQuAD 2.0 format).
+All these datasets were concatenated into a single dataset that we called [frenchQA](https://huggingface.co/datasets/CATIE-AQ/frenchQA).
+This represents a total of over **221,348 context/question/answer triplets used to finetune this model and 6,376 to test it**.  
 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/).