datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
ImageNet-C-gaussian_noise-severity_5severity_ablation_logicseverity_ablation_scienceImageNet-C-shot_noise-severity_5ImageNet-C-brightness-severity_5ImageNet-C-fog-severity_5ImageNet-C-motion_blur-severity_5ImageNet-C-jpeg_compression-severity_5ImageNet-C-pixelate-severity_5ImageNet-C-zoom_blur-severity_5severity_ablation_mathImageNet-C-impulse_noise-severity_5ImageNet-C-elastic_transform-severity_5ImageNet-C-contrast-severity_5ImageNet-C-defocus_blur-severity_5ImageNet-C-snow-severity_5ImageNet-C-glass_blur-severity_5ImageNet-C-frost-severity_5uaspeech_severity_highImageNet-C-gaussian_noise-severity_3ImageNet-C-shot_noise-severity_3ImageNet-C-fog-severity_4vulnerability-severity-classificationThis dataset combines vulnerable functions (scraped from 5 auditting companies: Codehawks, ConsenSys, Cyfrin, Sherlock, Trust Security) and auddited functions with no vulnerabilities (scraped from Etherscan)
The purpose of the dataset is to enable training of classification models to discriminate between the 4 classes: none, low, medium and high.
Field
Description
1. function
Raw solidity code
2. severity
Severity of vulnerability ('none', low, medium, high)
Data… See the full description on the dataset page: https://huggingface.co/datasets/msc-smart-contract-auditing/vulnerability-severity-classification.ImageNet-C-gaussian_noise-severity_1ImageNet-C-pixelate-severity_4ImageNet-C-brightness-severity_4ImageNet-C-jpeg_compression-severity_4ImageNet-C-gaussian_noise-severity_4ImageNet-C-motion_blur-severity_4ImageNet-C-zoom_blur-severity_4