azugarini/CapMIT1003

Dataset Description

CapMIT1003 is a dataset of captions and click-contingent image explorations collected during captioning tasks. CapMIT1003 is based on the same stimuli from the well-known MIT1003 benchmark, for which eye-tracking data under free-viewing conditions is available, which offers a promising opportunity to concurrently study human attention under both tasks.

Usage

You can load CapMIT1003 as follows:

from datasets import load_dataset

capmit1003_dataset = load_dataset("azugarini/CapMIT1003", trust_remote_code=True)
print(capmit1003_dataset["train"][0]) #print first example

Citation Information

If you use this dataset in your research or work, please cite the following paper:

@article{zanca2023contrastive,
  title={Contrastive Language-Image Pretrained Models are Zero-Shot Human Scanpath Predictors},
  author={Zanca, Dario and Zugarini, Andrea and Dietz, Simon and Altstidl, Thomas R and Ndjeuha, Mark A Turban and Schwinn, Leo and Eskofier, Bjoern},
  journal={arXiv preprint arXiv:2305.12380},
  year={2023}