| | --- |
| | language: |
| | - en |
| | license: mit |
| | size_categories: |
| | - 1K<n<10K |
| | task_categories: |
| | - image-classification |
| | pretty_name: Metashift subset for PCBM reproduction |
| | viewer: false |
| | dataset_info: |
| | - config_name: cherrypicked_task_1_bed_cat_dog |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': airplane |
| | '1': bed |
| | '2': car |
| | '3': cow |
| | '4': keyboard |
| | splits: |
| | - name: train |
| | num_bytes: 28494 |
| | num_examples: 500 |
| | - name: test |
| | num_bytes: 28486 |
| | num_examples: 500 |
| | download_size: 477673284 |
| | dataset_size: 56980 |
| | - config_name: cherrypicked_task_1_bed_dog_cat |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': airplane |
| | '1': bed |
| | '2': car |
| | '3': cow |
| | '4': keyboard |
| | splits: |
| | - name: train |
| | num_bytes: 28490 |
| | num_examples: 500 |
| | - name: test |
| | num_bytes: 28478 |
| | num_examples: 500 |
| | download_size: 477673272 |
| | dataset_size: 56968 |
| | - config_name: cherrypicked_task_2_table_books_cat |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': beach |
| | '1': computer |
| | '2': motorcycle |
| | '3': stove |
| | '4': table |
| | splits: |
| | - name: train |
| | num_bytes: 28413 |
| | num_examples: 500 |
| | - name: test |
| | num_bytes: 28478 |
| | num_examples: 500 |
| | download_size: 477673223 |
| | dataset_size: 56891 |
| | - config_name: cherrypicked_task_2_table_books_dog |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': beach |
| | '1': computer |
| | '2': motorcycle |
| | '3': stove |
| | '4': table |
| | splits: |
| | - name: train |
| | num_bytes: 28411 |
| | num_examples: 500 |
| | - name: test |
| | num_bytes: 28477 |
| | num_examples: 500 |
| | download_size: 477673220 |
| | dataset_size: 56888 |
| | - config_name: cherrypicked_task_2_table_cat_dog |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': beach |
| | '1': computer |
| | '2': motorcycle |
| | '3': stove |
| | '4': table |
| | splits: |
| | - name: train |
| | num_bytes: 28477 |
| | num_examples: 500 |
| | - name: test |
| | num_bytes: 28485 |
| | num_examples: 500 |
| | download_size: 477673292 |
| | dataset_size: 56962 |
| | - config_name: cherrypicked_task_2_table_dog_cat |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': beach |
| | '1': computer |
| | '2': motorcycle |
| | '3': stove |
| | '4': table |
| | splits: |
| | - name: train |
| | num_bytes: 28476 |
| | num_examples: 500 |
| | - name: test |
| | num_bytes: 28484 |
| | num_examples: 500 |
| | download_size: 477673290 |
| | dataset_size: 56960 |
| | - config_name: seed42_task_1_bed_cat_dog |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': airplane |
| | '1': bed |
| | '2': car |
| | '3': cow |
| | '4': keyboard |
| | splits: |
| | - name: train |
| | num_bytes: 28498 |
| | num_examples: 500 |
| | - name: test |
| | num_bytes: 28480 |
| | num_examples: 500 |
| | download_size: 477673282 |
| | dataset_size: 56978 |
| | - config_name: seed42_task_1_bed_dog_cat |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': airplane |
| | '1': bed |
| | '2': car |
| | '3': cow |
| | '4': keyboard |
| | splits: |
| | - name: train |
| | num_bytes: 28501 |
| | num_examples: 500 |
| | - name: test |
| | num_bytes: 28485 |
| | num_examples: 500 |
| | download_size: 477673290 |
| | dataset_size: 56986 |
| | - config_name: seed42_task_2_table_books_cat |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': beach |
| | '1': computer |
| | '2': motorcycle |
| | '3': stove |
| | '4': table |
| | splits: |
| | - name: train |
| | num_bytes: 28434 |
| | num_examples: 500 |
| | - name: test |
| | num_bytes: 28481 |
| | num_examples: 500 |
| | download_size: 477673247 |
| | dataset_size: 56915 |
| | - config_name: seed42_task_2_table_books_dog |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': beach |
| | '1': computer |
| | '2': motorcycle |
| | '3': stove |
| | '4': table |
| | splits: |
| | - name: train |
| | num_bytes: 28434 |
| | num_examples: 500 |
| | - name: test |
| | num_bytes: 28479 |
| | num_examples: 500 |
| | download_size: 477673245 |
| | dataset_size: 56913 |
| | - config_name: seed42_task_2_table_cat_dog |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': beach |
| | '1': computer |
| | '2': motorcycle |
| | '3': stove |
| | '4': table |
| | splits: |
| | - name: train |
| | num_bytes: 28465 |
| | num_examples: 500 |
| | - name: test |
| | num_bytes: 28479 |
| | num_examples: 500 |
| | download_size: 477673274 |
| | dataset_size: 56944 |
| | - config_name: seed42_task_2_table_dog_cat |
| | features: |
| | - name: image |
| | dtype: image |
| | - name: label |
| | dtype: |
| | class_label: |
| | names: |
| | '0': beach |
| | '1': computer |
| | '2': motorcycle |
| | '3': stove |
| | '4': table |
| | splits: |
| | - name: train |
| | num_bytes: 28463 |
| | num_examples: 500 |
| | - name: test |
| | num_bytes: 28481 |
| | num_examples: 500 |
| | download_size: 477673274 |
| | dataset_size: 56944 |
| | --- |
| | |
| | # PCBM Metashift |
| |
|
| | 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. |
| |
|
| |
|
| | | Config Name | Description | |
| | |---|---| |
| | | `task_1_bed_cat_dog` | Task 1: bed(cat) -> bed(dog) | |
| | | `task_1_bed_dog_cat` | Task 1: bed(dog) -> bed(cat) | |
| | | `task_2_table_books_cat` | Task 2: table(books) -> table(cat) | |
| | | `task_2_table_books_dog` | Task 2: table(books) -> table(dog) | |
| | | `task_2_table_cat_dog` | Task 2: table(cat) -> table(dog) | |
| | | `task_2_table_dog_cat` | Task 2: table(dog) -> table(cat) | |
| |
|
| | 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. |
| |
|
