datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
secopxQwen3.8-27B-Thinking-SecOPD-trainset
Qwen3.6-27B-Thinking SecOPD Trainset
Dataset summary
This public dataset contains 19,155 complete, model-specific preference records
for offline adversarial training against indirect prompt injection. The corpus
starts from the 19,157-record
Sizhe-Chen/Qwen3.6-27B-Instruct-SecPO-trainset
release. Its six non-label lineage fields are retained, while the attacked
prompts are rendered for thinking-on generation and the chosen and rejected
labels are regenerated… See the full description on the dataset page: https://huggingface.co/datasets/Sizhe-Chen/Qwen3.8-27B-Thinking-SecOPD-trainset.secops-2k
SecOps-2k
2,000 synthetic security log lines with template labels in LogHub
format. Parser papers mostly test on system logs (HDFS, BGL, Apache).
No comparable set existed for security telemetry, so we built one:
sshd, sudo, firewall, and audit lines, all invented. No real hosts,
users, or IPs.
Authors: TMFNK and MbitAI. Generator code:
TMFNK/LogParser-Dataset.
Archived release:
doi:10.5281/zenodo.22341506.
What is inside
One host (secops-01), one day (14 Jun), 2… See the full description on the dataset page: https://huggingface.co/datasets/mbitai/secops-2k.secops-2k-trail-baseline
SecOps-2k Trail baseline
Trail's parse of the SecOps-2k
synthetic security logs, with the per-decision audit trail. Trail is a
deterministic template miner: no model involved in these numbers. Each
parsed line gets a template plus a receipt showing the exact decision
that produced it.
Author: MbitAI. Parser code:
TMFNK/LogParser-Trail.
Archived release:
doi:10.5281/zenodo.22484287.
Companion paper: trail-techreport.pdf in the code repo.
What is inside
File… See the full description on the dataset page: https://huggingface.co/datasets/mbitai/secops-2k-trail-baseline.emgena_secops_cloud_armor_mcp_teaser
🚀 Emgena SecOps & Cloud Armor MCP Guard (Cursor & Claude Plugin) (Free Community Teaser)
⚡ Official Free Evaluation Teaser & IDE Plugin Template🏆 Get the Full Production Package & Commercial EULA on Gumroad:👉 Purchase Full Pro Plugin on Gumroad🏷️ Use coupon code LAUNCH20 for 20 € off at checkout!
🌟 What is this?
Turnkey Cloud IAM Privilege, SSRF Egress & Container Security MCP Plugin for Cursor IDE & Claude Desktop.
100% Zero External Dependencies:… See the full description on the dataset page: https://huggingface.co/datasets/emgena/emgena_secops_cloud_armor_mcp_teaser.Secop2_documentssentences_triplets_secop2_splitsquery_generated-title-secop2
Dataset Card for "query_generated-title-secop2"
More Information needed
smoltrace-secops-tasks
SMOLTRACE Synthetic Dataset
This dataset was generated using the TraceMind MCP Server's synthetic data generation tools.
Dataset Info
Tasks: 100
Format: SMOLTRACE evaluation format
Generated: AI-powered synthetic task generation
Usage with SMOLTRACE
from datasets import load_dataset
# Load dataset
dataset = load_dataset("MCP-1st-Birthday/smoltrace-secops-tasks")
# Use with SMOLTRACE
# smoltrace-eval --model openai/gpt-4 --dataset-name… See the full description on the dataset page: https://huggingface.co/datasets/MCP-1st-Birthday/smoltrace-secops-tasks.sentences_triplets_secop2
Dataset Card for "sentences_triplets_secop2"
More Information needed
bunker-sase-secops-datasetsecop_corpus_cleansec_ops