Dataset card for HumAIDSum1000

This dataset contains tweet summaries generated using GPT-4, tweets were obtained from the HumAID Twitter dataset created by Gliwa et al. (2019), which is several thousand tweets that has been collected during 19 major natural disasters, which happened from 2016 and 2019.

The tweets were selected using stratified sampling, which should increase precision, and representativeness of the tweets.

Stratums used for each file:

• Clustered using UMAP and HDBSCAN
• Word-count bins
• Automated Readability Index (ARI) bins

Tweets were pre-processed using:

• Username removed
• Retweet pattern removed
• &amp replaced with 'and'
• URLs removed
• Digits removed
• Non-ASCII removed
• Emojis changed

USERNAME_PATTERN = re.compile(r'@[\w.-]+') RETWEET_USERNAME_PATTERN = re.compile(r'RT @[\w.-]+: ') EMOJI_PATTERN = [ (re.compile(r':-)'), 'smiling_face'), (re.compile(r':-('), 'sad_face'), (re.compile(r':-/'), 'angry_face'), (re.compile(r':-\'), 'angry_face'), (re.compile(r'❤'), 'love'), (re.compile(r'❤️'), 'love'), (re.compile(r'♥'), 'love'), (re.compile(r'❤'), 'love'), (re.compile(r'♥'), 'love'), (re.compile(r'❣'), 'love'), (re.compile(r'⭐'), 'star'), (re.compile(r'✨'), 'star'), (re.compile(r'❗'), '!'), (re.compile(r'☹️'), 'sad_face'), (re.compile(r'‼'), '!'), (re.compile(r'✔'), 'yes'), ] TEXT_REPLACE_PATTERN = [ (re.compile(r'&'), 'and') ] URL_PATTERN = re.compile(r'https?://\S+') DIGITS_PATTERN = re.compile(r'\d') NON_ASCII_PATTERN = re.compile(r'[^\x00-\x7F]+')

Data Structure

Data Fields

• 'tweet_id': a string containing the tweet_ids of the tweets used for sumamarisation, spearated by '|'
• 'tweet_text': a string containing the tweets, separated by '.', as this was the separator used during summarisation
• 'tweet_summary': a string containing a summary of the tweets

References

@misc{HumAIDSum,  
    author = {Blu Parsons},  
    title = {Tweet Summary Dataset Distilled from GPT-4},  
    howpublished = {https://huggingface.co/datasets/bluparsons/HumAIDSum1000},
    publisher = {}  
    year = {2025}
}
@inproceedings{humaid2020,
    Author = {Firoj Alam, Umair Qazi, Muhammad Imran, Ferda Ofli},
    Booktitle = {15th International Conference on Web and Social Media (ICWSM)},
    Keywords = {Social Media, Crisis Computing, Tweet Text Classification, Disaster Response},
    Title = {HumAID: Human-Annotated Disaster Incidents Data from Twitter},
    Year = {2021}
}