Replication Data for: Coding topics and frames in Dutch newspaper coverage (1995-2010)
<|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 file includes the raw data for the coding of Dutch newspaper coverage on topics (CAP majors topics) and frames - funded by a 'VENI' grant from the Dutch science foundation. Next to metadata, variables as mentioned in the codebook, the last three variables include the following: text (text split into words and randomly shuffled), text_bigrams (same thing but as bigrams) and text_bigrams_nostopwords (same thing but making bigrams after removing the stopwords using the Python nltk library' . 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" : ["issues"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This file includes the raw data for the coding of Dutch newspaper coverage on topics (CAP majors topics) and frames - funded by a 'VENI' grant from the Dutch science foundation. Next to metadata, variables as mentioned in the codebook, the last three variables include the following: text (text split into words and randomly shuffled), text_bigrams (same thing but as bigrams) and text_bigrams_nostopwords (same thing but making bigrams after removing the stopwords using the Python nltk library' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This file includes the raw data for the coding of Dutch newspaper coverage on topics (CAP majors topics) and frames - funded by a 'VENI' grant from the Dutch science foundation. Next to metadata, variables as mentioned in the codebook, the last three variables include the following: text (text split into words and randomly shuffled), text_bigrams (same thing but as bigrams) and text_bigrams_nostopwords (same thing but making bigrams after removing the stopwords using the Python nltk library
issues