Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
| license: other | |
| language: | |
| - en | |
| tags: | |
| - privacy | |
| - pii | |
| - token-classification | |
| - named-entity-recognition | |
| - synthetic-data | |
| - data-masking | |
| task_categories: | |
| - token-classification | |
| pretty_name: Maskara Extensive PII | |
| size_categories: | |
| - 10K<n<100K | |
| # Maskara Extensive PII | |
| This dataset is the larger training corpus used for the real Maskara | |
| Transformers token-classification model. | |
| It contains 75,000 examples: | |
| - `train.jsonl`: 67,500 examples | |
| - `validation.jsonl`: 3,750 examples | |
| - `test.jsonl`: 3,750 examples | |
| ## Sources | |
| - Maskara synthetic v2 generator | |
| - Public examples normalized from `ai4privacy/pii-masking-300k` | |
| The dataset includes chat prompts, email drafts, support tickets, delivery | |
| messages, identity prompts, finance prompts, code/log snippets, JSON snippets, | |
| calendar messages, map/travel prompts, and hard negatives. | |
| ## Schema | |
| ```json | |
| { | |
| "id": "maskara-extensive-0000001", | |
| "text": "Email Maya Rao at maya.rao@example.org.", | |
| "entities": [ | |
| {"start": 6, "end": 14, "label": "PERSON_NAME", "text": "Maya Rao"}, | |
| {"start": 18, "end": 38, "label": "EMAIL", "text": "maya.rao@example.org"} | |
| ], | |
| "domain": "email_draft", | |
| "locale": "en-US", | |
| "difficulty": "mixed", | |
| "source": "maskara_synthetic_v2" | |
| } | |
| ``` | |
| ## Labels | |
| - `ADDRESS` | |
| - `API_KEY` | |
| - `CREDIT_CARD` | |
| - `DATE_OF_BIRTH` | |
| - `DRIVER_LICENSE` | |
| - `EMAIL` | |
| - `IP_ADDRESS` | |
| - `LOCATION` | |
| - `PASSWORD` | |
| - `PERSON_NAME` | |
| - `PHONE` | |
| - `SSN` | |
| - `USERNAME` | |
| ## Notes | |
| This is not real user vault data. Maskara should never train on real local | |
| vault mappings or private user prompts. | |