HumAID: Human-Annotated Disaster Incidents Data from Twitter with Deep Learning Benchmarks
<|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:'The HumAID Twitter dataset consists of several thousands of manually annotated tweets that have been collected during nineteen major natural disaster events including earthquakes, hurricanes, wildfires, and floods, which happened during 2016 to 2019 across different parts of the World. It is the largest social media dataset (~77K) for crisis informatics so far (for details please refer to our paper). The annotations consist of following humanitarian categories.Humanitarian categories          Caution and advice      Displaced people and evacuations      Dont know cant judge      Infrastructure and utility damage      Injured or dead people      Missing or found people      Not humanitarian      Other rele' . 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" : ["Twitter datasets, Textual content, Natural disasters, Crisis Informatics"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The HumAID Twitter dataset consists of several thousands of manually annotated tweets that have been collected during nineteen major natural disaster events including earthquakes, hurricanes, wildfires, and floods, which happened during 2016 to 2019 across different parts of the World. It is the largest social media dataset (~77K) for crisis informatics so far (for details please refer to our paper). The annotations consist of following humanitarian categories.Humanitarian categories          Caution and advice      Displaced people and evacuations      Dont know cant judge      Infrastructure and utility damage      Injured or dead people      Missing or found people      Not humanitarian      Other rele' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The HumAID Twitter dataset consists of several thousands of manually annotated tweets that have been collected during nineteen major natural disaster events including earthquakes, hurricanes, wildfires, and floods, which happened during 2016 to 2019 across different parts of the World. It is the largest social media dataset (~77K) for crisis informatics so far (for details please refer to our paper). The annotations consist of following humanitarian categories.Humanitarian categories          Caution and advice      Displaced people and evacuations      Dont know cant judge      Infrastructure and utility damage      Injured or dead people      Missing or found people      Not humanitarian      Other rele
Twitter datasets, Textual content, Natural disasters, Crisis Informatics