Keerthikl/Nemotron-PII

Nemotron-PII是一个合成的、基于人物角色的数据集，用于训练和评估在文本中检测个人可识别信息（PII）和受保护健康信息（PHI）的生产级质量模型。它包含10万条英文记录，覆盖50多个行业，对55个以上的PII/PHI类别进行了跨度级标注。该数据集使用NVIDIA NeMo Data Designer生成，基于美国人口普查数据的合成角色，以确保人口统计真实性和上下文一致性。数据集包括结构化的（例如表格、发票）和非结构化的（例如电子邮件、自由文本）文档，并明确标记每条记录的区域惯例（美国或国际）。

Nemotron‑PII is a synthetic, persona‑grounded dataset for training and evaluating detection of Personally Identifiable Information (PII) and Protected Health Information (PHI) in text at production quality. It contains 100,000 English records across 50+ industries with span‑level annotations for 55+ PII/PHI categories, generated with NVIDIA NeMo Data Designer using synthetic personas grounded in U.S. Census data to ensure demographic realism and contextual consistency. This dataset includes both structured (e.g., forms, invoices) and unstructured (e.g., emails, free text) documents and explicitly marks locale conventions (U.S. or international) per record.