Protegrity 发布 278M 开放权重 PII 检测模型及 PII-SCOPE 基准

A new, open-weights 278M PII detection model and reference benchmark [R]

AI 导读

Protegrity 发布了一个 278M 的开放权重 PII 检测模型，基于 RoBERTa 微调，训练数据为 1.2B 条含多种 PII 的合成文本。配套基准 PII-SCOPE 用于解决公开 LLM 生成数据集中的常见问题，已上线 Hugging Face。模型可根据上下文识别 PII 并返回每个实例的位置和类型，也可直接输出脱敏后的文本。

正文

Hi everyone,

I wanted to share a new open-weights PII detection model, benchmark and research paper. It's a fine-tune of RoBERTa using 1.2B samples of synthetically generated text that contain a variety of PII. The benchmark, PII-SCOPE (Synthetic Context and Ontology for PII Extraction), was built to address common issues in public LLM-generated datasets and is on Hugging Face too. The model and script identify instances of PII based on surrounding context, and then return the index and type of each instance. Alternatively, it can return the input with all PII redacted.

Technical report (research paper)
https://arxiv.org/html/2610.30518v2

Hugging Face model card
https://huggingface.co/Protegrity/protegrity-pii

submitted by /u/shanekj
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