extract gated 0 0

RedAI4Code/SEVRA-plus

Name: RedAI4Code/SEVRA-plus
Creator: RedAI4Code
Published: 2026-05-04T16:20:39
License: https://opensource.org/license/mit

published by @RedAI4Code

Alignment dataset tracked in the /datasets sub-catalog.

Lifetime downloads

Last 30 days

Likes

Size

7.7 MB

Created on HF

2026-05-04

Age

5 months ago

Description

Malicious Pull Requests Benchmark

A benchmark dataset for evaluating automated code review agents against adversarial pull requests. The dataset contains 2,400 malicious PRs (current release: deterministic) and 347 benign ground-truth security fixes, grounded in real vulnerabilities from the OSV/SECommits database, across 10 CWE classes from the 2025 CWE Top 25.

Motivation

Modern AI coding assistants can generate plausible-looking patches at scale. This dataset… See the full description on the dataset page: https://huggingface.co/datasets/RedAI4Code/SEVRA-plus.

Used by abliterated models none yet

No abliterated models in our catalog have declared this dataset in their YAML metadata yet. This can mean the dataset is used but not declared, is used outside abliteration workflows, or is new. The link will populate automatically as models are indexed.

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Metadata

License

mit

Repository

DIR cwe125 2 files DIR cwe22 2 files DIR cwe352 2 files DIR cwe416 2 files DIR cwe78 2 files DIR cwe787 2 files DIR cwe79 2 files DIR cwe862 2 files DIR cwe89 2 files DIR cwe94 2 files DIR cybergym FILE .gitattributes FILE README.md

File contents live on Hugging Face. Click a file or folder to open it there.

Download the dataset

Gated dataset. You need to accept the author's terms on Hugging Face before downloading. Visit the repository, click Agree and access repository, then log in locally with huggingface-cli login and use one of the snippets below.

Copy any of these snippets into your notebook or terminal. All three fetch directly from Hugging Face using your own credentials.

Recommended: datasets library (Python)

from datasets import load_dataset
ds = load_dataset("RedAI4Code/SEVRA-plus")

Raw snapshot (Python)

from huggingface_hub import snapshot_download
snapshot_download(repo_id="RedAI4Code/SEVRA-plus", repo_type="dataset")

git clone (requires git-lfs)

git clone https://huggingface.co/datasets/RedAI4Code/SEVRA-plus

Browse repository on Hugging Face ->