Datasets:
Download training-data-mappings.json from vectorsense/piiscan-data: direct link, hf CLI and curl.
- Browser
- Download file 5.06 kB
-
https://huggingface.co/datasets/vectorsense/piiscan-data/resolve/main/training-data-mappings.json
- Command line
-
hf download hf://datasets/vectorsense/piiscan-data/training-data-mappings.json
-
curl -L -o training-data-mappings.json https://huggingface.co/datasets/vectorsense/piiscan-data/resolve/main/training-data-mappings.json
5.06 kB
| { | |
| "schema_version": "1.0.0", | |
| "taxonomy_version": "1.0.0", | |
| "sources": { | |
| "sample-training-data": { | |
| "enabled": true, | |
| "format": "canonical_jsonl", | |
| "license_status": "author_provided", | |
| "notes": "Already uses the canonical schema and is still fully revalidated during every build." | |
| }, | |
| "openpii-1.5m": { | |
| "enabled": true, | |
| "format": "openpii_jsonl", | |
| "revision": "a785eb528e28be2693c3718a27e066970de5dadb", | |
| "license_status": "CC-BY-4.0", | |
| "test_holdout_permille": 5, | |
| "benchmark_tier": "held_out_same_generator", | |
| "label_map": { | |
| "ACCOUNTNUM": {"type": "BANK_ACCOUNT_NUMBER", "subtype": null}, | |
| "AGE": {"type": "AGE", "subtype": null}, | |
| "AIRPORTCODE": null, | |
| "ALLERGIES": null, | |
| "AMOUNT": null, | |
| "BANKNAME": null, | |
| "BUILDINGNUM": {"type": "STREET_ADDRESS", "subtype": "building_number"}, | |
| "CITY": {"type": "CITY", "subtype": "city"}, | |
| "COUNTRY": {"type": "COUNTRY", "subtype": null}, | |
| "CREDITCARDNUMBER": {"type": "PAYMENT_CARD_NUMBER", "subtype": null}, | |
| "CURRENCY": null, | |
| "DATE": {"type": "DATE_TIME", "subtype": "unspecified_date"}, | |
| "DOCTORNAME": {"type": "PERSON_NAME", "subtype": "clinician"}, | |
| "DRIVERLICENSENUM": {"type": "DRIVER_LICENSE_NUMBER", "subtype": null}, | |
| "EMAIL": {"type": "EMAIL_ADDRESS", "subtype": null}, | |
| "GENDER": null, | |
| "GIVENNAME": {"type": "PERSON_NAME", "subtype": "first"}, | |
| "HEIGHT": null, | |
| "HOSPITALNAME": null, | |
| "IDCARDNUM": {"type": "GOVERNMENT_ID", "subtype": "identity_card"}, | |
| "IPV4": {"type": "IP_ADDRESS", "subtype": "ipv4"}, | |
| "JOBTITLE": null, | |
| "JOBTYPE": null, | |
| "MACADDRESS": {"type": "MAC_ADDRESS", "subtype": null}, | |
| "MEDICATION": null, | |
| "ORGANISATION": null, | |
| "PASSPORTNUM": {"type": "PASSPORT_NUMBER", "subtype": null}, | |
| "PASSWORD": null, | |
| "POLICYNUM": {"type": "OTHER_UNIQUE_ID", "subtype": "policy_number"}, | |
| "SALARY": null, | |
| "SEX": null, | |
| "SOCIALNUM": {"type": "GOVERNMENT_ID", "subtype": "social_number"}, | |
| "STREET": {"type": "STREET_ADDRESS", "subtype": "street"}, | |
| "SURNAME": {"type": "PERSON_NAME", "subtype": "last"}, | |
| "TAXNUM": {"type": "TAX_ID", "subtype": null}, | |
| "TELEPHONENUM": {"type": "PHONE_NUMBER", "subtype": null}, | |
| "TIME": {"type": "DATE_TIME", "subtype": "time"}, | |
| "TIMEZONE": null, | |
| "TITLE": null, | |
| "URL": {"type": "URL", "subtype": null}, | |
| "USERNAME": {"type": "USERNAME", "subtype": null}, | |
| "WEIGHT": null, | |
| "ZIPCODE": {"type": "POSTAL_CODE", "subtype": null} | |
| }, | |
| "notes": "Every label observed in the pinned revision has an explicit decision. DATE remains generic DATE_TIME; it is never guessed to be DATE_OF_BIRTH. Sensitive attributes that are not identifiers in taxonomy v1 are explicitly excluded. SOCIALNUM maps to the generic GOVERNMENT_ID because only 3% of its occurrences are US-region; assigning the US-specific SOCIAL_SECURITY_NUMBER is left to the rule layer, which validates SSN structure and context." | |
| }, | |
| "tab": { | |
| "enabled": true, | |
| "format": "tab_standoff_json", | |
| "revision": "558e09e26d6b36f5f78440074e6a233946d98bd9", | |
| "license_status": "MIT", | |
| "files": ["echr_test.json"], | |
| "split_assignment": "test", | |
| "benchmark_tier": "external_human_annotated", | |
| "adjudication": "majority", | |
| "strip_leading_titles": true, | |
| "label_map": { | |
| "PERSON": {"type": "PERSON_NAME", "subtype": null}, | |
| "DATETIME": {"type": "DATE_TIME", "subtype": null}, | |
| "CODE": null, | |
| "LOC": null, | |
| "ORG": null, | |
| "DEM": null, | |
| "QUANTITY": null, | |
| "MISC": null | |
| }, | |
| "notes": "Independent human-annotated benchmark: 127 quality-checked ECHR judgments. Documents carry 1-10 competing annotator sets, adjudicated by majority vote after boundary normalization. TAB guidelines include honorifics in PERSON spans (80.3% of mentions) whereas taxonomy v1 excludes titles, so leading honorifics are stripped before voting. Only PERSON and DATETIME are mapped, so rows carry evaluated_types and the evaluator must ignore predictions of other types on these documents." | |
| }, | |
| "physionet-deid-resources": { | |
| "enabled": false, | |
| "format": "recognizer_resources", | |
| "license_status": "resources_only", | |
| "notes": "Contains dictionaries/software/annotation resources but not the controlled source note text required for model rows." | |
| }, | |
| "wikiann": { | |
| "enabled": false, | |
| "format": "token_tags_parquet", | |
| "license_status": "blocked_pending_license_review", | |
| "notes": "Quarantined. It is general silver NER, not PII gold data." | |
| }, | |
| "multinerd": { | |
| "enabled": false, | |
| "format": "token_tags_jsonl", | |
| "license_status": "noncommercial_research_only", | |
| "notes": "Quarantined. It cannot enter the default commercial-capable training build." | |
| } | |
| } | |
| } |