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.

[Q]: We used dataset, HEOT obtained from one of the past studies done by Mathur et al. where they annotated a set of cleaned tweets obtained from twitter for the conversations happening in Indian subcontinent. A labelled dataset for a corresponding english tweets were also obtained from a study conducted by Davidson et al.
Question: How is the dataset collected?
[A]: A labelled dataset for a corresponding english tweets were also obtained from a study conducted by Davidson et al HEOT obtained from one of the past studies done by Mathur et al

[Q]: The best baseline model is NO-MOVE, reaching an accuracy of 30.3% on single sentences and 0.3 on complete paragraphs.
Question: How well did the baseline perform?
[A]: accuracy of 30.3% on single sentences and 0.3 on complete paragraphs

[Q]: To test this hypothesis we first trained UG-WGAN in English, Chinese and German following the procedure described in Section "UG-WGAN" . For this experiment we trained UG-WGAN on the English and Russian language following the procedure described in Section "UG-WGAN" . To do so we trained 6 UG-WGAN models on the following languages: English, Russian, Arabic, Chinese, German, Spanish, French.
Question: What are the languages they consider in this paper?
[A]:
The languages considered were English, Chinese, German, Russian, Arabic, Spanish, French