MMCHIVED: Multimodal Chile and Venezuela Event Data
<|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:'MMCHIVED generates city-day event data using a new source of data, text and images shared on social media. These data enables the improved measurement of theoretically important variables such as protest size, protester and state violence, protester demographics, and emotions' . 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" : ["Chile","computer vision","emotions","protests","Twitter","Venezuela"]} <|eot_id|>
 Here is the Description of a dataset. Description:'MMCHIVED generates city-day event data using a new source of data, text and images shared on social media. These data enables the improved measurement of theoretically important variables such as protest size, protester and state violence, protester demographics, and emotions' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
MMCHIVED generates city-day event data using a new source of data, text and images shared on social media. These data enables the improved measurement of theoretically important variables such as protest size, protester and state violence, protester demographics, and emotions
Chile; computer vision; emotions; protests; Twitter; Venezuela