|
--- |
|
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} |
|
} |
|
|
|
|
