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]: To help solve the data problem we present Taskmaster-1, a dataset consisting of 13,215 dialogs, including 5,507 spoken and 7,708 written dialogs created with two distinct procedures. Each conversation falls into one of six domains: ordering pizza, creating auto repair appointments, setting up ride service, ordering movie tickets, ordering coffee drinks and making restaurant reservations.
Question: Which six domains are covered in the dataset?
[A]: ordering pizza, creating auto repair appointments, setting up ride service, ordering movie tickets, ordering coffee drinks and making restaurant reservations

[Q]: The main set of experiments uses a Linear Support Vector Machine (Joachims, 1998) to classify dialects using CxG features. This paper has used data-driven language mapping to select national dialects of English to be included in a global dialect identification model.
Question: What do the models that they compare predict?
[A]: national dialects of English

[Q]: The third person plural pronoun 'they' has no gender in English and most other languages (unlike the third person singular pronouns 'he', 'she', and 'it'). If these sentences are translated into French, then 'they' in the first sentence should be translated 'elles', as referring to Jane and Susan, and 'they' in the second sentence should be translated 'ils', as referring to Fred and George. A couple of examples: The word 'sie' in German serves as both the formal second person prounoun (always capitalized), the third person feminine singular, and the third person plural.
Question: What language do they explore?
[A]:
English French German