This dataset contains 10,000 supervised examples for classifying email and email-adjacent content for operational triage, phishing/spam risk, and prompt-attack filtering.
Each JSONL row has two string fields:
input: an instruction plus email, security-review text, or prompt/email fragment.
output: compact strict JSON with triage, priority, risk, should_process, confidence, and reason.
The dataset is intended for fine-tuning and evaluating classifiers… See the full description on the dataset page:
https://huggingface.co/datasets/weijianzhg/email-safety-triage-10k.
