Dataset: Understanding and Detecting Hateful Content using Contrastive Learning

This is the dataset released with the paper titled: "<strong>Understanding and Detecting Hateful Content using Contrastive Learning</strong>". We release our dataset in four CSV files. These files contain the textual and visual dataset and the textual and visual ground truth we obtained after our manual annotations. For a detailed description of every <strong><em>column </em></strong>in the CSV structure, along with the type of the <strong><em>value</em></strong>, please read the readme.pdf file provided with this dataset. The images are stored in the zip files. If you find our dataset useful, please cite our paper: <pre><code>@inproceedings{gonzalez2023understanding, title={Understanding and Detecting Hateful Content using Contrastive Learning}, author={Gonz{\'a}lez-Pizarro, Felipe and Zannettou, Savvas}, booktitle={17th International AAAI Conference On Web And Social Media (ICWSM), 2023}, year={2023} } </code></pre> In case of questions, please do not hesitate to contact us: felipegp[at]cs.ubc.ca (https://gonzalezf.github.io)