Aether Cyber SFT: Supervised Fine-Tuning Data for Cybersecurity Training

1794 examples form a supervised fine-tuning dataset curated for authorized cybersecurity training. The dataset, created by enosislabs, includes 757 examples from the vulnerability_research domain and 334 from red_team_ops. It was generated on 2026-06-20 and follows a 5-row review discipline for each source shard before publishing.

Use Cases

• Fine-tune language models for cybersecurity dialogue based on the supervised fine-tuning format.
• Train models to generate or analyze vulnerability research content based on the 757 examples in that domain.
• Develop AI assistants for red team operations training based on the 334 examples in that domain.
• Benchmark model performance on specialized cybersecurity tasks using the curated, domain-specific examples.

Strengths

• Contains 1794 total examples for supervised fine-tuning.
• Includes 757 examples specifically for vulnerability research.
• Includes 334 examples specifically for red team operations.
• Follows a documented 5-row review discipline for quality control before publishing each source shard.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is known but the total size, file formats, and specific column structure are unknown.
• License information is unavailable, which may restrict usage.

Provenance

Source

huggingface dataset enosislabs/aether-cyber-sft, curated by enosislabs.

Collection Method

Curated Aether PRISM SFT dataset; each source shard follows a 5-row review discipline before publish.

Freshness

Last updated 2026-06-20 03:36:33.