| --- |
| license: mit |
| language: |
| - en |
| pretty_name: "PII-TRACE: Multi-Turn PII NER Dataset" |
| task_categories: |
| - token-classification |
| size_categories: |
| - n<1K |
| tags: |
| - pii |
| - named-entity-recognition |
| - span-detection |
| - conversational |
| - multi-turn |
| configs: |
| - config_name: conversations |
| default: true |
| data_files: |
| - split: train |
| path: data/train.parquet |
| --- |
| |
| # PII-TRACE |
|
|
| PII-TRACE is a synthetic dataset for privacy-focused named entity recognition (NER) of personally identifiable information (PII), released as a 500-conversation subset of multi-turn dialogues with exact span annotations. |
|
|
| ## Dataset summary |
|
|
| This release contains 500 conversations with 2,653 annotated PII spans across nine labels. Among them, 450 conversations contain PII spans and 50 contain none. |
|
|
| ## Data format |
|
|
| Each record contains: |
|
|
| | Field | Type | Description | |
| |---|---|---| |
| | `id` | string | Unique record ID. | |
| | `turns` | list | Ordered turn objects containing `turn`, `user`, and `assistant`. | |
| | `spans` | list | Gold PII spans. An empty list indicates an empty control. | |
|
|
| Each item in `spans` contains: |
|
|
| | Field | Type | Description | |
| |---|---|---| |
| | `label` | string | PII label. | |
| | `turn` | integer | Zero-based index of the containing turn. | |
| | `source` | string | Message role containing the span (`user` or `assistant`). | |
| | `start` | integer | Inclusive Unicode code-point start offset in the selected message. | |
| | `end` | integer | Exclusive Unicode code-point end offset in the selected message. | |
| | `text` | string | Exact annotated substring. | |
|
|
| Do not trim or normalize message text before applying offsets. |
|
|
| ## Labels |
|
|
| | Label | Description | |
| |---|---| |
| | `private_person` | Person name | |
| | `private_date` | Date | |
| | `private_url` | Link or route | |
| | `private_address` | Mailing or location address | |
| | `account_number` | Account or reference number | |
| | `private_email` | Email address | |
| | `private_phone` | Telephone number | |
| | `other_pii` | Other identifier | |
| | `secret` | Access code or credential-like value | |
|
|
| ## Evaluation |
|
|
| Supply `turns` to the model and keep `spans` hidden. Report micro and macro exact typed-span precision, recall, and F1 over `(turn, source, start, end, label)`. Untyped exact-span F1 over `(turn, source, start, end)` may also be reported. |
|
|
| This subset may be used for training, evaluation, and error analysis in PII span detection research. |
|
|
| ## Limitations |
|
|
| This is a controlled benchmark rather than an estimate of real-world PII prevalence or deployment-level performance. Its English conversations and identifier formats are more regular than production traffic, and current gold spans occur in user messages. The `secret` label covers credential-like sensitive values but does not assert that every such value is statutory PII. |
|
|
| ## License |
|
|
| MIT. |
|
|
| ## Citation |
|
|
| If you use or reference this work, please cite: |
|
|
| ```bibtex |
| @article{zhang2026piitrace, |
| title = {{PII-TRACE}: A Benchmark for Context-Aware {PII} Detection in Multi-Turn {LLM} Conversations}, |
| author = {Zhang, Kaiyuan and Wang, Chuan and Zhong, Joey and Fryzel, Paul and Polley, Kyle and Ma, Jerry and Li, Ninghui}, |
| journal = {arXiv preprint arXiv:2609.22200}, |
| year = {2026}, |
| url = {https://arxiv.org/abs/2609.22200} |
| } |
| ``` |
|
|
