| ---
|
| license: cc-by-4.0
|
| language:
|
| - de
|
| - en
|
| - es
|
| - fr
|
| - it
|
| tags:
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| - pii
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| - token-classification
|
| - privacy
|
| - multilingual
|
| task_categories:
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| - token-classification
|
| ---
|
|
|
| # PiiScan training corpus — recipe and provenance
|
|
|
| This repository publishes the **recipe**, not the rows.
|
|
|
| The PiiScan corpus is derived from sources whose redistribution terms differ, and several forbid
|
| republication outright. Rather than ship a subset that is easy to misuse, this repo contains
|
| everything needed to rebuild the corpus byte-for-byte from the pinned upstream revisions.
|
|
|
| ## What is here
|
|
|
| | File | Purpose |
|
| |---|---|
|
| | `sources.json` | Every source with its pinned revision, licence, access status, and training decision |
|
| | `training-data-mappings.json` | Explicit decision for every upstream label; no default branch |
|
| | `canonical-training-row.schema.json` | The row schema all data is normalised to |
|
| | `entity-tiers.json` | Which of the 39 types are trained, rule-only, experimental, or blocked |
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| | `build-manifest.json` | Counts by split, source, type, and language; fingerprints |
|
| | `sample-training-data/` | Hand-authored rows and hard negatives, one file per type (ours, freely reusable) |
|
|
|
| ## Corpus shape
|
|
|
| | Split | Rows |
|
| |---|---:|
|
| | train | 1,299,487 |
|
| | validation | 323,767 |
|
| | test | 8,328 |
|
|
|
| Benchmark tiers in the test split: external_human_annotated (127), held_out_same_generator (8,201).
|
|
|
| ## Redistribution status by source
|
|
|
| | Source | Licence | Access | Rows published |
|
| |---|---|---|---|
|
| | `openpii-1.5m` | CC-BY-4.0 | open | recipe only |
|
| | `tab` | MIT | open | recipe only |
|
| | `physionet-deid-resources` | ODC-By-1.0 and GPL-2.0-or-later components | open | recipe only |
|
| | `wikiann` | unknown | open | **no** — licence forbids |
|
| | `multinerd` | CC-BY-NC-SA-4.0 | open | **no** — licence forbids |
|
| | `ai4privacy-health-phi-400k` | ai4privacy-commercial | gated | **no** — licence forbids |
|
| | `ai4privacy-financial-pfi-400k` | ai4privacy-commercial | gated | **no** — licence forbids |
|
| | `ai4privacy-location-pli-400k` | ai4privacy-commercial | gated | **no** — licence forbids |
|
| | `ai4privacy-work-pwi-400k` | ai4privacy-commercial | gated | **no** — licence forbids |
|
| | `ai4privacy-digital-pdi-350k` | ai4privacy-commercial | gated | **no** — licence forbids |
|
| | `physionet-gold-medical-text` | PhysioNet credentialed health data terms | credentialed | **no** — licence forbids |
|
| | `n2c2-i2b2-deidentification` | controlled research terms | currently_unavailable | **no** — licence forbids |
|
| | `meddocan` | confirm with corpus owner | registration_required | **no** — licence forbids |
|
| | `kaggle-pii-educational` | Kaggle competition rules | competition_terms_required | **no** — licence forbids |
|
| | `ontonotes-5` | LDC User Agreement | paid_or_membership | **no** — licence forbids |
|
|
|
| ## Rebuild it
|
|
|
| ```bash
|
| git clone https://github.com/palarnab/piiscan && cd piiscan
|
| python downloaded-training-data/download.py # pinned revisions only
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| python scripts/build_training_data.py
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| python scripts/validate_training_data.py
|
| ```
|
|
|
| The build fails rather than silently dropping data if an unknown upstream label appears, and
|
| validation enforces span integrity, unique IDs, and cross-split leakage checks.
|
|
|
| ## Attribution
|
|
|
| ```
|
| Training data derived from Ai4Privacy OpenPII 1.5M (CC-BY-4.0),
|
| © Ai Suisse SA — https://huggingface.co/datasets/ai4privacy/pii-masking-openpii-1.5m
|
| Evaluation uses the Text Anonymization Benchmark (MIT).
|
| ```
|
|
|
| ## Author
|
|
|
| Arnab Pal — [LinkedIn](https://www.linkedin.com/in/pal-arnab) · [GitHub](https://github.com/palarnab)
|
| |
