README.md

---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: label
    dtype: int64
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 549160245.0
    num_examples: 90000
  - name: validation
    num_bytes: 134331450.0
    num_examples: 22500
  - name: test
    num_bytes: 54187483.0
    num_examples: 9000
  download_size: 724794473
  dataset_size: 737679178.0
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

<!-- Provide a quick summary of the dataset. -->

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]

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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}
}