This repository contains the Multiple Object Eye-Tracking (MOET) dataset used in the project *Decoding Attention from Gaze: A Benchmark Dataset and End-to-End Models* by Karan Uppal, Jaeah Kim, and Shashank Singh (to appear in the proceedings of the [Gaze Meets ML Workshop][1] at [NeurIPS 2022][2]). A [preprint is available on arXiv][3]. See the [project GitHub page][4] for an overview of this project, as well as code and examples of how to use this data. This data is made available under a [CC-BY Attribution 4.0 International license][5]. In short, you are free to share and adapt this dataset as long as you give appropriate credit to the original authors, provide a link to the license, and indicate if changes were made. If you use this dataset in any published material, please cite the aforementioned workshop paper or arXiv preprint. For questions or comments regarding this dataset, please contact Shashank Singh at shashankssingh44@gmail.com. [1]: https://gaze-meets-ml.github.io/gaze_ml_2022/ [2]: https://neurips.cc/ [3]: https://arxiv.org/abs/2211.10966 [4]: https://github.com/karan-uppal3/decoding-attention [5]: https://creativecommons.org/licenses/by/4.0/