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