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--- |
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language: |
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- en |
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license: mit |
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size_categories: |
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- 1K<n<10K |
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task_categories: |
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- image-classification |
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pretty_name: Metashift subset for PCBM reproduction |
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viewer: false |
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dataset_info: |
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dataset_size: 56944 |
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--- |
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|
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# PCBM Metashift |
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For the sake of reproducibility, this dataset hosts the postprocessed Metashift according to [[Yuksekgonul et al.]](https://arxiv.org/pdf/2205.15480.pdf) for the use in Post-Hoc Concept Bottleneck Models. |
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| Config Name | Description | |
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|---|---| |
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| `task_1_bed_cat_dog` | Task 1: bed(cat) -> bed(dog) | |
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| `task_1_bed_dog_cat` | Task 1: bed(dog) -> bed(cat) | |
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| `task_2_table_books_cat` | Task 2: table(books) -> table(cat) | |
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| `task_2_table_books_dog` | Task 2: table(books) -> table(dog) | |
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| `task_2_table_cat_dog` | Task 2: table(cat) -> table(dog) | |
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| `task_2_table_dog_cat` | Task 2: table(dog) -> table(cat) | |
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|
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The script to generate this dataset can be found at `scripts/generate.py`. You will need to download the [Metashift repo](https://github.com/Weixin-Liang/MetaShift) and the [Visual Genome dataset](https://nlp.stanford.edu/data/gqa/images.zip) as instructed in the Metashift repo. |
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