In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.
--------
Question: In this paper, we have shown that both human and machine translation can alter superficial patterns in data, which requires reconsidering previous findings in cross-lingual transfer learning.
Question: Does the professional translation or the machine translation introduce the artifacts?

Answer: Yes

Question: We extract data from the WMT'14 English-French (En-Fr) and English-German (En-De) datasets. To create a larger discrepancy between the tasks, so that there is a clear dataset size imbalance, the En-De data is artificially restricted to only 1 million parallel sentences, while the full En-Fr dataset, comprising almost 40 million parallel sentences, is used entirely.
Question: What datasets are used for experiments?

Answer: the WMT'14 English-French (En-Fr) and English-German (En-De) datasets.

Question: We use the unshuffled version of the French OSCAR corpus, which amounts to 138GB of uncompressed text and 32.7B SentencePiece tokens.
Question: What is CamemBERT trained on?

Answer:
unshuffled version of the French OSCAR corpus