Metadata for 20 newspapers from six Eurasian post-socialist countries
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This is a metadata for a corpus of 1.3 million newspaper articles from six Eurasian post-socialist countries and twelve IOs in the period 2018-2020. The file format is Rdata and can be loaded to R with load() function. Variables (columns) description.sent – sentiment, number of positive inclination words minus the number of negative inclination words divided by the number of words in the articlesrsent – relative sentiment, sentiment of the article minus the average sentiment of all articles published in this newspaperun, wto, who, oecd, scun, nato, imf, ebrd, adb, aiib, wb, cc - one variable for each of the twelve IOs, equals zero if an IO is not mentioned in the article and 1+log(N) if an IO is mentioned N times in the article.dip_ru, dip_kz, dip_bel, dip_ukr, dip_pl, dip_hu - one variable for each of ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["post-soviet countries, International Organizations, influential domestic politicians"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This is a metadata for a corpus of 1.3 million newspaper articles from six Eurasian post-socialist countries and twelve IOs in the period 2018-2020. The file format is Rdata and can be loaded to R with load() function. Variables (columns) description.sent – sentiment, number of positive inclination words minus the number of negative inclination words divided by the number of words in the articlesrsent – relative sentiment, sentiment of the article minus the average sentiment of all articles published in this newspaperun, wto, who, oecd, scun, nato, imf, ebrd, adb, aiib, wb, cc - one variable for each of the twelve IOs, equals zero if an IO is not mentioned in the article and 1+log(N) if an IO is mentioned N times in the article.dip_ru, dip_kz, dip_bel, dip_ukr, dip_pl, dip_hu - one variable for each of ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This is a metadata for a corpus of 1.3 million newspaper articles from six Eurasian post-socialist countries and twelve IOs in the period 2018-2020. The file format is Rdata and can be loaded to R with load() function. Variables (columns) description.sent – sentiment, number of positive inclination words minus the number of negative inclination words divided by the number of words in the articlesrsent – relative sentiment, sentiment of the article minus the average sentiment of all articles published in this newspaperun, wto, who, oecd, scun, nato, imf, ebrd, adb, aiib, wb, cc - one variable for each of the twelve IOs, equals zero if an IO is not mentioned in the article and 1+log(N) if an IO is mentioned N times in the article.dip_ru, dip_kz, dip_bel, dip_ukr, dip_pl, dip_hu - one variable for each of 
post-soviet countries, International Organizations, influential domestic politicians