instruction:
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:
To be able to employ the trained model, test sets are first translated to English via machine translation and then inference takes place. For machine translation, Google translation API is used.
Question: how did the authors translate the reviews to other languages?
answer:
Using Google translation API.

question:
As a first corpus, we compiled INLINEFORM0 that represents a collection of 80 excerpts from scientific works including papers, dissertations, book chapters and technical reports, which we have chosen from the well-known Digital Bibliography & Library Project (DBLP) platform. As a second corpus, we compiled INLINEFORM0 , which represents a collection of 1,645 chat conversations of 550 sex offenders crawled from the Perverted-Justice portal. As a third corpus, we compiled INLINEFORM0 , which is a collection of 200 aggregated postings crawled from the Reddit platform.
Question: What size are the corpora?
answer:
80 excerpts from scientific works collection of 1,645 chat conversations collection of 200 aggregated postings

question:
For experiments, we train and evaluate our models in the civil law system of mainland China. We collect and construct a large-scale real-world data set of INLINEFORM0 case documents that the Supreme People's Court of People's Republic of China has made publicly available
Question: what is the size of the real-world civil case dataset?
answer:
100 000 documents