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 also measure the usage of words related to people's core values as reported by Boyd et al. boyd2015. The sets of words, or themes, were excavated using the Meaning Extraction Method (MEM) BIBREF10 .
Question: How do they obtain psychological dimensions of people?

A: using the Meaning Extraction Method
****
Q: We use three datasets for our experiments: IWSLT14 German-English, Turkish-English, and WMT14 English-German.
Question: what language pairs are explored?

A: German-English Turkish-English English-German
****
Q: Data collected by BIBREF3 , which we term the Sexist/Racist (SR) data set, was collected using an initial Twitter search followed by analysis and filtering by the authors and their team who identified 17 common phrases, hashtags, and users that were indicative of abusive speech. BIBREF4 collected the HATE dataset by searching for tweets using a lexicon provided by Hatebase.org. The final data set we used, which we call HAR, was collected by BIBREF9 ; we removed all retweets reducing the dataset to 20,000 tweets.
Question: which datasets were used?

A:
Sexist/Racist (SR) data set HATE dataset HAR
****