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    <identifier>10.57760/sciencedb.j00133.00635</identifier>
    <datestamp>2026-01-08T16:19:50Z</datestamp>
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  <dc:date>2026-01-08</dc:date>
  <dc:title>Dataset for emergency distortion information identification</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00133.00635</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The data file consists of four parts. The first part is the publicly available dataset used in this article. The dataset introduction and access links are shown below; The second part is a list of emergency keywords compiled based on the national standard (GB/T 35561-2017); The third part is the experimental data set MEE_data and Test_data after preprocessing, keyword screening and semantic de duplication, as well as the typical case data mig_data of four types of emergencies collected from Zhihu, Xiaohongshu and Tiktok platforms in the subsequent migration test; The fourth part is the appendix of this article, which displays the prompt templates and answer error types of the big language model.&amp;nbsp;The introduction and access links to the public dataset are as follows:&amp;nbsp;1. Binedata data set, derived from the competition data of Zhiyuan&amp;amp;Computing Institute Internet False News Detection, can be accessed by:&amp;ldquo; https://www.biendata.xyz/competition/falsenews/data &amp;rdquo;；&amp;nbsp;2. Rumors dataset, established by authors such as Liu Zhiyuan, accessed through:&amp;ldquo; https://opencsg.com/datasets/MagicAI/Chinese_Rumor_Dataset &amp;rdquo;；&amp;nbsp;3. The access method for the CHECK dataset is:&amp;ldquo; https://github.com/cyang03/CHECKED &amp;rdquo;；&amp;nbsp;4. CHEF dataset, access method:&amp;ldquo; https://github.com/THU-BPM/CHEF &amp;rdquo;；&amp;nbsp;5. MRML dataset, accessed through:&amp;ldquo; https://github.com/plw-study/MRML &amp;rdquo;；&amp;nbsp;6. Weibo (Z) dataset, established by Xueyao Zhang et al., accessed through:&amp;ldquo; https://github.com/RMSnow/WWW2021 &amp;rdquo;；&amp;nbsp;7. Weibo (M) dataset, established by authors Jing Ma et al., accessed through:&amp;ldquo; https://github.com/RMSnow/WWW2021 &amp;rdquo;；&amp;nbsp;8. Jiaozhen data set, an article project from the NLP bus on WeChat official account, can be accessed by:&amp;ldquo; https://github.com/lqhou/NLP_Bus_Pro &amp;rdquo;；&amp;nbsp;9. The WBV1 dataset and WBV2 dataset were both established by authors Yang Z and others, and the access method is:&amp;ldquo; https://www.kaggle.com/datasets/yangzhou32/socialnet-weibo-version-2 &amp;rdquo;.&amp;nbsp;</dc:description>
  <dc:subject>emergency; disinformation; identification</dc:subject>
  <dc:creator>zou yu zhe</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-nd/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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