silmarilsecurity/firewall-eval-v1
Alignment dataset tracked in the /datasets sub-catalog.
Description
Silmaril Firewall Eval v1
A curated evaluation dataset for prompt injection and jailbreak detection, designed to benchmark LLM firewall classifiers on both direct attacks and sophisticated adversarial techniques.
Dataset Overview
Count
Total samples
1,000
Benign (label=0)
524
Malicious (label=1)
476
Unique techniques
131
Schema
Field
Type
Description
text
string
The prompt or document to classify
label
int
0 =… See the full description on the dataset page: https://huggingface.co/datasets/silmarilsecurity/firewall-eval-v1.
Tags
Used by abliterated models
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.
Community discussions
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2026-03-31[bot] Conversion to Parquet
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Metadata
Repository
Download the dataset
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.
from datasets import load_dataset
ds = load_dataset("silmarilsecurity/firewall-eval-v1")from huggingface_hub import snapshot_download
snapshot_download(repo_id="silmarilsecurity/firewall-eval-v1", repo_type="dataset")git clone https://huggingface.co/datasets/silmarilsecurity/firewall-eval-v1