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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+# Audio files - uncompressed
+*.pcm filter=lfs diff=lfs merge=lfs -text
+*.sam filter=lfs diff=lfs merge=lfs -text
+*.raw filter=lfs diff=lfs merge=lfs -text
+# Audio files - compressed
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LICENSE

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+MIT License
+
+Copyright (c) 2026 PII-TRACE contributors
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+---
+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.

data/train.parquet

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