Update README.md
- Clarify that the model is not trained on the evaluation dataset
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@ -65,7 +65,7 @@ Citation:
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</details>
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I used `Data augmentation techniques` and splited the dataset in order to have a train and test set. The test set was created in a way that contains the same number of samples for each language. Finally, I got:
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As **XQuAD** is just an evaluation dataset, I used `Data augmentation techniques` (scraping, neural machine translation, etc) to obtain more samples and splited the dataset in order to have a train and test set. The test set was created in a way that contains the same number of samples for each language. Finally, I got:
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| Dataset | # samples |
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| ----------- | --------- |
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