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---
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}
}
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