Datasets:
File size: 1,710 Bytes
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viewer: false
tags:
- adversarial-robustness
- image-classification
- robustness-benchmark
---
# RobustGenBench-sample
This is a **stratified sample** of the full [RobustGenBench](https://huggingface.co/datasets/legolasflagstaff/RobustGenBench) dataset (22 GB), created for NeurIPS dataset submission review.
## Structure
Each subfolder contains **2 images per class** extracted from the corresponding archive in the full dataset, plus `test/labels.csv` and `metadata.json`.
```
clean/
caltech101/ ← 2 imgs/class × 101 classes = 202 images
fgvc-aircraft-2013b/
flowers-102/
oxford-iiit-pet/
stanford_cars/
uc-merced-land-use-dataset/
adversarial/
common/common_severity3/<dataset>/
random/linf_eps30_random_uniform/<dataset>/
zeroshot_clip_vitb16_laion2b/<threat_model>/<dataset>/
zeroshot_clip_vith14_laion2b/<threat_model>/<dataset>/
zeroshot_metaclip_vith14_fullcc2_5b/<threat_model>/<dataset>/
zeroshot_siglip2_base_patch16_224/<threat_model>/<dataset>/
zeroshot_siglip2_so400m_patch14_384/<threat_model>/<dataset>/
zeroshot_siglip2_so400m_patch16_naflex/<threat_model>/<dataset>/
zeroshot_siglip2_so400m_patch16_naflex_patchify/<threat_model>/<dataset>/
```
Each leaf folder has the same internal layout:
- `test/labels.csv` — `filename,label` mapping (integer class indices)
- `test/NNNNN.png` — flat-numbered PNG images (same filenames across clean & adversarial)
- `metadata.json` — split counts (clean archives only)
Class name mappings are in `class_names/<dataset>.json`.
See **[SAMPLE.md](SAMPLE.md)** for full details on sampling methodology.
## Full dataset
👉 https://huggingface.co/datasets/legolasflagstaff/RobustGenBench
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