Datasets:
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---
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
[[arXiv](https://arxiv.org/pdf/2409.07940)], [[GitHub](https://github.com/friedmanroy/ctrl-shift/tree/main)]
**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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