This dataset is introduced by the paper "MM-Claims: A Dataset for Multimodal Claim Detection in Social Media" If you use this dataset in your work, please cite: @inproceedings{cheema-etal-2022-mm, title = "{MM}-Claims: A Dataset for Multimodal Claim Detection in Social Media", author = {Cheema, Gullal Singh and Hakimov, Sherzod and Sittar, Abdul and M{\"u}ller-Budack, Eric and Otto, Christian and Ewerth, Ralph}, booktitle = "Findings of the Association for Computational Linguistics: NAACL 2022", month = jul, year = "2022", address = "Seattle, United States", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/2022.findings-naacl.72", pages = "962--979" } Information about columns in the files: 1. claim_binary: {0: 'Not a claim', 1: 'claim'} 2. claim_three: {0: 'Not a claim', '1': 'claim but not check-worthy', 2: 'check-worthy claim'} 3. claim_vis: {0: 'Not a claim', '1': 'visually-irrelevant claim', 2: 'visually-relevant claim'} Official code repository: https://github.com/TIBHannover/MM_Claims **All files were updated on 5th May 2023, with some images removed because of obscene images that were not automatically detected in the first phase.** **If you are interested in the binary task on check-worthiness estimation in multimodal claims, you can find the refined dataset with new test data released as part of the CLEF Checkthat! 2023 challenge: https://gitlab.com/checkthat_lab/clef2023-checkthat-lab/-/tree/main**