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YAML Metadata Warning:The task_categories "code-security" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

YAML Metadata Warning:The task_categories "vulnerability-analysis" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

Corporate & Developer AI Enhancement Datasets (v3.0)

This dataset collection contains structured fine-tuning (SFT) datasets, multi-turn security assessment conversations, and static analysis benchmarks formatted for LLM model training.

Dataset Collection Overview

  • master_unified_sft: 16,594 unified ChatML samples combining vulnerability research, SAST code auditing, and penetration testing workflows.
  • vulnerabilities_v3: 10,000 technical CVE samples formatted in ChatML with 15 full features and CoT reasoning.
  • code_security: 5,591 static analysis samples formatted in ChatML.
  • redteam_pentest: 1,003 multi-turn conversations covering network scanning, Burp Suite workflows, PowerShell AD administration, and security tools.
  • evals_repo_grades: 130,173 evaluation records across agent skills and MCP servers.

Dataset Structure

All SFT datasets are exported in standard ChatML structure (messages: [{"role": "system"|"user"|"assistant", "content": "..."}]) and partitioned into Hugging Face train and validation splits under data/.

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