Datasets:

alexandrainst
/

scandi-qa

@@ -49,14 +49,16 @@ answers with plausible "answer candidates", being slight perturbations or transl
 of the answer.
 With the contexts extracted, we translated these to Danish, Swedish and Norwegian using
-the DeepL translation service for Danish and Swedish, and the Google Translation
-service for Norwegian. After translation we ensured that the Scandinavian answers do
-indeed occur in the translated contexts.
 As we are filtering the MKQA samples at both the "merging stage" and the "translation
 stage", we are not able to fully convert the 10,000 samples to the Scandinavian
 languages, and instead get roughly 8,000 samples per language. These have further been
-split into a training, validation and test split, with the former two containing
 roughly 750 samples. The splits have been created in such a way that the proportion of
 samples without an answer is roughly the same in each split.

 of the answer.
 With the contexts extracted, we translated these to Danish, Swedish and Norwegian using
+the [DeepL translation service](https://www.deepl.com/pro-api?cta=header-pro-api) for
+Danish and Swedish, and the [Google Translation
+service](https://cloud.google.com/translate/docs/reference/rest/) for Norwegian. After
+translation we ensured that the Scandinavian answers do indeed occur in the translated
+contexts.
 As we are filtering the MKQA samples at both the "merging stage" and the "translation
 stage", we are not able to fully convert the 10,000 samples to the Scandinavian
 languages, and instead get roughly 8,000 samples per language. These have further been
+split into a training, validation and test split, with the latter two containing
 roughly 750 samples. The splits have been created in such a way that the proportion of
 samples without an answer is roughly the same in each split.