CATIE-AQ
/

QAmembert

Question Answering

Carbon Emissions

Inference Endpoints

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bourdoiscatie commited on Oct 18, 2023

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@@ -32,7 +32,8 @@ co2_eq_emissions: 100
 We present **QAmemBERT**, which is a [CamemBERT base](https://huggingface.co/camembert-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 questions/answers pairs used to finetune this model and 6,376 to test it**.
 ## Datasets

 We present **QAmemBERT**, which is a [CamemBERT base](https://huggingface.co/camembert-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/Question_answering/) or [French](https://blog.vaniila.ai/QA/).
 ## Datasets