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Dataset for Evaluating Abstractive Summaries of Crisis-Related Social Media

The dataset created for evaluation of summaries generated from social media posted during five natural disasters. The dataset contains: ground truth reports created by human assessor based on ERCC Echo Flash reports (5 events); summaries generated by extractive and abstractive state-of-the-art with manual annotation of category-relevant and crisis-relevant claim.

Fedor Vitiugin, Carlos Castillo: Cross-Lingual Query-Based Summarization of Crisis-Related Social Media: An Abstractive Approach Using Transformers. In ACM Hypertext 2022. ACM Press. https://doi.org/10.1145/3511095.3531279

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Personal Data Attributes

Description: Personal Data related Information

Field Value
Anonymised Pseudo Anonymized
ChildrenData No
Cross Border Authorised Yes
Data Protection Impact Assessment Yes
Ethics Committee Approval Yes
General Data Yes
Informed Consent Template Yes
Personal Data No
Personal data was manifestly made public by the data subject No
Sensitive Data Yes
Additional Info
Field Value
Accessibility Both
Accessibility Mode Download
Availability On-Line
Basic rights Download
Creation Date 2023-03-09
Creator Vitiugin, Fedor, fedor.vitiugin@upf.edu, orcid.org/0000-0003-4350-1828
Dataset Citation Vitiugin, Fedor, & Castillo, Carlos. (2023). Dataset for Evaluating Abstractive Summaries of Crisis-Related Social Media [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7714161
Dataset Re-Use Safeguards None
Field/Scope of use Any use
Group Others
Language eng, English
License term 2023-03-09 /2088-02-20
Manifestation Type Original
Processing Degree Primary
Retention Period 2088-02-01 /2088-02-29
Sublicense rights No
Territory of use World Wide
Thematic Cluster Text and Social Media Mining [TSMM]
system:type Dataset
Management Info
Field Value
Author VITIUGIN Fedor
Maintainer VITIUGIN Fedor
Version 1
Last Updated 24 June 2023, 01:15 (CEST)
Created 17 March 2023, 19:20 (CET)