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.

Input: Consider Input: EmotionLines BIBREF6 is a dialogue dataset composed of two subsets, Friends and EmotionPush, according to the source of the dialogues.
Question: what datasets were used?

Output: Friends EmotionPush

Input: Consider Input: Results show that the CJFA encoder obtains significantly better phone classification accuracy than the VAE baseline and also than the CJFS encoder. These results are replicated for speaker recognition tasks.
Question: Which approach out of two proposed in the paper performed better in experiments?

Output: CJFA encoder

Input: Consider Input: As a raw corpus, we used a Japanese web corpus that was compiled through the procedures proposed by BIBREF13. From the corpus of about 100 million sentences, we obtained 1.4 millions event pairs for AL, 41 millions for CA, and 6 millions for CO.
Question: How large is raw corpus used for training?
Output: 100 million sentences