GreenNode/GreenPersona-Dataset

GreenPersona Dataset

GreenPersona is a fully synthetic set of 97,879 Vietnamese personal profiles ("person vault", version 0.3.0). Each record is one fictional person with a consistent set of personal data: demographics, name, date of birth, residence and birthplace, national ID (CCCD), passport, driver licence, vehicles, phone numbers, emails, online accounts, bank accounts, payment cards, and sensitive attributes (ethnicity, religion, political affiliation, health, legal record, financial profile).

The field taxonomy follows Vietnam's Law on Personal Data Protection (91/2025/QH15) and Decree 356/2025/NĐ-CP: basic personal data (Article 3) and sensitive personal data (Article 4). The Điều khoản column in DATASHEET.md maps each field to its clause.

The dataset is intended as a source of identities for generating and evaluating PII detection, redaction and guardrail systems.

Splits

Split	Persons
train	78,221
validation	9,798
test	9,860

The split is assigned by hashing person_id, so a given person appears in only one split.

Usage

from datasets import load_dataset

ds = load_dataset("GreenNode/GreenPersona-Dataset")
p = ds["train"][0]
print(p["full_name"], p["id"], p["phone_numbers"])

Schema

One row per person, 91 flat columns. Single-valued fields are scalar columns; a missing passport, driver licence, etc. is null.

A person can have several phones, emails, online accounts, bank accounts, cards or vehicles. Each of those groups is stored as parallel list columns: element i of every column in a group describes the same item. For example, card_numbers[1], card_expiry[1] and card_cvv[1] all belong to the person's second card. A person with none has empty lists.

Group	Columns
Demographics (seed)	sex, age, age_band, birth_cohort, marital_status, education, occupation, skills_and_expertise (list), hobbies (list)
Residence	province_code, province, zone (34-province administrative map from 2025)
Birth registration	birth_province_legacy, birth_province_legacy_cccd_code, birth_province_code, birth_province
Name	full_name, surname, middle_name, given_name, name_prefix (e.g. Y, H'), name_style
Birth, nationality	dob, nationalities, nationality_codes
National ID (CCCD)	id, id_card_type, id_issued_on, id_expires_on, id_issued_by
Passport	passport, passport_issued_on, passport_expires_on
Driver licence	driver_license, driver_license_classes, driver_license_issued_on
Vehicles (parallel lists)	license_plates, plate_codes, vehicle_types, vehicle_registered_on, vehicle_registration_province_codes, vehicle_registration_provinces
Phones (parallel lists)	phone_numbers, phone_carriers, phone_is_primary
Emails (parallel lists)	emails, email_domains, email_is_primary
Online accounts (parallel lists)	social_platforms, social_usernames, social_linked_phones
Bank accounts (parallel lists)	bank_codes, bank_names, bank_numbers, bank_account_names, bank_alias_of, bank_opened_on
Payment cards (parallel lists)	card_numbers, card_bins, card_bank_codes, card_schemes, card_network_types, card_types, card_linked_accounts, card_holder_names, card_issued_on, card_expiry, card_cvv, card_is_test_bin
Ethnicity, religion, politics	ethnic, religion, party_member, party_joined_year, civic_engagement
Health	icd10 (chronic conditions, ICD-10 codes), blood_type
Legal record	legal_record, offense_type, offense_year
Financial profile	income_band, monthly_income_vnd, loans, debt, debt_group, bad_debt, credit_grade, insurance_products, has_securities_account
Meta	person_id, split, reserved_fields (fields generated in reserved ranges)

The columns are a flattened view of the nested vault schema. DATASHEET.md documents each original field (nested path such as documents.national_id.number ↔ column id): type, nullability, dependencies, legal clause, and the status of each reference table. vault_fields.yaml is the machine-readable nested schema. manifest.json records the build hashes and generator versions.

How it was generated

1. Seed: 7 structured columns (sex, age, marital status, education, occupation, skills, hobbies) from nvidia/Nemotron-Personas-Vietnam. Implausible combinations are filtered out. Free-text persona descriptions and the original location columns are dropped.
2. Sampling: the remaining fields are sampled from reference tables and probabilistic graphical models conditioned on the seed attributes. Examples: ethnicity and religion by province; name style by ethnicity; national ID digits consistent with sex, birth year and birth province; income and debt by occupation, education and zone.
3. Validation: cross-field consistency rules are checked for every record. This build passed with zero violations.

Limitations and responsible use

• All persons are fictional. No record describes a real individual. Several reference tables are marked provisional (see DATASHEET.md), so distributions are approximations, not official statistics.
• This build uses id_realism = realistic: national IDs, bank account numbers and card numbers follow real formats, including real NAPAS BINs and valid check digits. A generated value may therefore coincide with a real identifier by chance. Do not use these values to look up, contact or transact with anyone, and do not treat a match as real personal data.
• Use the dataset only for research and for building or evaluating privacy-protecting systems.

License and attribution

Released under CC BY 4.0. The seed attributes come from nvidia/Nemotron-Personas-Vietnam (CC BY 4.0, NVIDIA). Third-party reference tables keep the licences listed in DATASHEET.md.