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@@ -13,7 +13,7 @@ Dataset concatenating all QA datasets with context available in French and open-
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  In addition, an augmented version of these datasets has been added (same context but different questions to create data in SQuADv2 format).
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  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).
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  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.
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- 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/).
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  # Usage
 
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  In addition, an augmented version of these datasets has been added (same context but different questions to create data in SQuADv2 format).
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  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).
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  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.
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+ 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/).
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  # Usage