README.md

metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype: int64
    - name: text
      dtype: string
  splits:
    - name: train
      num_bytes: 549160245
      num_examples: 90000
    - name: validation
      num_bytes: 134331450
      num_examples: 22500
    - name: test
      num_bytes: 54187483
      num_examples: 9000
  download_size: 724794473
  dataset_size: 737679178
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*

Dataset Card for Dataset Name

This dataset is the compiled version of https://github.com/delyan-boychev/pytorch_trainers_interpretability?tab=readme-ov-file in huggingface dataset. All credits are given to the orignal author

Citation [optional]

Please cite the original author for use of the dataset BibTeX: @misc{boychev2023interpretable, title={Interpretable Computer Vision Models through Adversarial Training: Unveiling the Robustness-Interpretability Connection}, author={Delyan Boychev}, year={2023}, eprint={2307.02500}, archivePrefix={arXiv}, primaryClass={cs.CV} }