Datasets:
metadata
task_categories:
- zero-shot-classification
size_categories:
- 1M<n<10M
This repository hosts the JANuS (Joint Annotations and Names) dataset introduced in the 2023 paper Distributionally Robust Classification on a Data Budget.
As of this writing, ours is the only public dataset which is both fully annotated with ground-truth labels and fully captioned with web-scraped captions.
It is designed to be used for controlled experiments with vision-language models.
For more details on our dataset, please refer to the accompanying paper.
If you find our dataset useful, please cite our paper --
@article{
feuer2023distributionally,
title={Distributionally Robust Classification on a Data Budget},
author={Benjamin Feuer and Ameya Joshi and Minh Pham and Chinmay Hegde},
journal={Transactions on Machine Learning Research},
issn={2835-8856},
year={2023},
url={https://openreview.net/forum?id=D5Z2E8CNsD},
note={}
}