If you use our dataset, code, or any part of the VisChronos framework in your work, please cite the following paper: @inproceedings{nguyen2024vischronos, title={VisChronos: Revolutionizing Image Captioning Through Real-Life Events}, author={Nguyen, Phuc-Tan and Nguyen, Hieu and Le, Trung-Nghia}, booktitle={International Symposium on Information and Communication Technology}, pages={127--140}, year={2024}, organization={Springer}}

The dataset EventCap, includes 3,140 image-caption pairs centered around real-world events. Each pair has been meticulously curated from images and information drawn from a diverse selection of reputable articles. This dataset provides a robust resource for training and assessing the capabilities of image captioning models in accurately interpreting and describing complex events in real-world contexts.