metadata
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
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- config_name: cherrypicked_task_2_table_books_cat
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- config_name: cherrypicked_task_2_table_books_dog
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- config_name: seed42_task_1_bed_cat_dog
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- name: image
dtype: image
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- name: image
dtype: image
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'4': table
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PCBM Metashift
For the sake of reproducibility, this dataset hosts the postprocessed Metashift according to [Yuksekgonul et al.] 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 and the Visual Genome dataset as instructed in the Metashift repo.