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.

Ex Input:
For MSA, we acquired the diacritized corpus that was used to train the RDI BIBREF7 diacritizer and the Farasa diacritizer BIBREF31. The corpus contains 9.7M tokens with approximately 194K unique surface forms (excluding numbers and punctuation marks). For testing, we used the freely available WikiNews test set BIBREF31, which is composed of 70 MSA WikiNews articles (18,300 tokens) and evenly covers a variety of genres including politics, economics, health, science and technology, sports, arts and culture. For CA, we obtained a large collection of fully diacritized classical texts (2.7M tokens) from a book publisher, and we held-out a small subset of 5,000 sentences (approximately 400k words) for testing.
Question: what datasets were used?

Ex Output:
diacritized corpus that was used to train the RDI BIBREF7 diacritizer and the Farasa diacritizer BIBREF31 WikiNews test set BIBREF31 large collection of fully diacritized classical texts (2.7M tokens) from a book publisher

Ex Input:
Trinomials are likely to appear in exactly one order, and when they appear in more than one order the last word is almost always the same across all instances.
Question: Are there any new finding in analasys of trinomials that was not present binomials?

Ex Output:
Trinomials are likely to appear in exactly one order

Ex Input:
In this paper, we work on recognizing the polarity of an affective event that is represented by a score ranging from $-1$ (negative) to 1 (positive).
Question: What are labels available in dataset for supervision?

Ex Output:
negative positive