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