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README.md

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-license: mit
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+---
+license: mit
+---
+
+## Datasets: 
+
+Base-to-Novel: [ImageNet-1K](https://image-net.org/challenges/LSVRC/2012/index.php), [Caltech101](https://data.caltech.edu/records/mzrjq-6wc02), [Oxford Pets](https://www.robots.ox.ac.uk/~vgg/data/pets/), [StanfordCars](https://ai.stanford.edu/~jkrause/cars/car_dataset.html), [Flowers102](https://www.robots.ox.ac.uk/~vgg/data/flowers/102/), [Food101](https://vision.ee.ethz.ch/datasets_extra/food-101/), [FGVC Aircraft](https://www.robots.ox.ac.uk/~vgg/data/fgvc-aircraft/), [SUN397](http://vision.princeton.edu/projects/2010/SUN/), [DTD](https://www.robots.ox.ac.uk/~vgg/data/dtd/), [EuroSAT](https://github.com/phelber/EuroSAT), [UCF101](https://www.crcv.ucf.edu/data/UCF101.php).
+
+Domain Generalization: [ImageNet-V2](https://github.com/modestyachts/ImageNetV2), [ImageNet-Sketch](https://github.com/HaohanWang/ImageNet-Sketch), [ImageNet-Adversarial](https://github.com/hendrycks/natural-adv-examples), [ImageNet-Rendition](https://github.com/hendrycks/imagenet-r).
+
+Due to various factors, the links to some datasets may be outdated or invalid.
+
+To make it easy for you to download these datasets, we maintain a repository on HuggingFace, which contains all the datasets to be used (except ImageNet). Each dataset also includes the corresponding split_zhou_xx.json file.
+
+## Instructions for How to download these datasets:
+
+### Using the huggingface-cli command-line tool:
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+Install the CLI tool if not already installed.
+
+`pip install -U huggingface-hub`
+
+Download the datasets.
+
+`huggingface-cli download zhengli97/prompt_learning_dataset`
+
+