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Datasets:
anonymous347928
/
pcbm_metashift

Tasks:
Image Classification
Languages:
English
Size:
1K<n<10K
ArXiv:
License:
Dataset card Files
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pcbm_metashift
File size: 6,365 Bytes
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---
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:
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          '0': airplane
          '1': bed
          '2': car
          '3': cow
          '4': keyboard
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    dtype: image
  - name: label
    dtype:
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          '1': bed
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          '3': cow
          '4': keyboard
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- config_name: cherrypicked_task_2_table_books_cat
  features:
  - name: image
    dtype: image
  - name: label
    dtype:
      class_label:
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          '0': beach
          '1': computer
          '2': motorcycle
          '3': stove
          '4': table
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    dtype: image
  - name: label
    dtype:
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          '1': computer
          '2': motorcycle
          '3': stove
          '4': table
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    dtype: image
  - name: label
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          '4': table
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    dtype: image
  - name: label
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          '4': table
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          '3': cow
          '4': keyboard
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  features:
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    dtype: image
  - name: label
    dtype:
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  features:
  - name: image
    dtype: image
  - name: label
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  features:
  - name: image
    dtype: image
  - name: label
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    dtype: image
  - name: label
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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.]](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.