| --- |
| license: mit |
| pretty_name: Control+Shift |
| size_categories: |
| - 10K<n<100K |
| task_categories: |
| - image-classification |
| dataset_info: |
| features: |
| - name: shift_type |
| dtype: string |
| - name: shift_amount |
| dtype: int8 |
| - name: image |
| dtype: image |
| - name: label |
| dtype: int8 |
| - name: dataset |
| dtype: string |
| --- |
| |
| # Dataset Card for `Control+Shift`: Generating Controllable Distribution Shifts |
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| [[arXiv](https://arxiv.org/pdf/2409.07940)], [[GitHub](https://github.com/friedmanroy/ctrl-shift/tree/main)] |
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| **Curated by:** [Roy Friedman](https://friedmanroy.github.io/) and Rhea Chowers |
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| This dataset is the one that accompanies the paper [`Control+Shift`: Generating Controllable Distribution Shifts](https://arxiv.org/pdf/2409.07940). |
| Our data is based on CIFAR10 and ImageNet, using EDM to generate our data. We generated datasets for 3 types of distribution shift on CIFAR10 and ImageNet - so a total of 6 datasets. The types of distribution shifts are called `overlap`, `extend` and `truncation`. |
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