adachankawai/vietnamese-healthcare-dataset

Vietnamese Healthcare Synthetic Patient Records

This dataset contains synthetic Vietnamese healthcare identity records from multiple source systems, plus a canonical synthetic patient table used by the generator.

All records are synthetic and are intended for entity resolution, record linkage, and Vietnamese identity-field preprocessing experiments.

Included Files

Only the following CSV files are included in this upload:

File	Rows	Description
clinic_patients.csv	6,053	Source table for clinic patient records
hospital_patients.csv	6,143	Source table for hospital patient records
insurance_members.csv	6,014	Source table for insurance member records
lab_test_patients.csv	6,105	Source table for lab test patient records
pharmacy_prescriptions.csv	6,068	Source table for pharmacy prescription records
vaccination_records.csv	6,049	Source table for vaccination records
true_patients.csv	10,000	Synthetic canonical patient table used by the generator

The six source tables contain noisy observed identity records. true_patients.csv contains the canonical synthetic patient attributes before source-specific noise is applied.

Source Table Columns

The six source-system files share the same schema:

Column	Description
unique_id	Unique record identifier
source_system	Source system name
source_record_id	Record identifier within the source system
full_name	Observed full name
date_of_birth_raw	Observed date of birth
gender_raw	Observed gender
phone_raw	Observed phone number
email_raw	Observed email address
cccd_raw	Observed CCCD/CMND-style national identifier
national_id_type_raw	Observed national ID type
health_insurance_id_raw	Observed health insurance identifier
address_text	Observed address string
province_raw	Observed province
district_raw	Observed district
ward_raw	Observed ward
admin_address_version	Current or legacy administrative address version
facility_name	Facility name associated with the record
event_date	Event or record date

These files intentionally use raw observed fields. Normalized fields such as phone_norm, identity_text, and name_address_text should be created during preprocessing if needed.

Canonical Patient Columns

true_patients.csv contains the canonical synthetic patient records:

Column	Description
entity_id_truth	Synthetic true patient/entity identifier
canonical_full_name	Canonical full name
gender	Canonical gender
date_of_birth	Canonical date of birth
phone	Canonical phone number
email	Canonical email address
cccd	Canonical CCCD identifier
legacy_cmnd	Canonical legacy CMND identifier
health_insurance_id	Canonical health insurance identifier
house_number	Canonical house number
street	Canonical street
legacy_province	Province in legacy administrative address
legacy_district	District in legacy administrative address
legacy_ward	Ward in legacy administrative address
legacy_full_address	Full legacy address
current_province	Province in current administrative address
current_district	District in current administrative address
current_ward	Ward in current administrative address
current_full_address	Full current address
_hard_negative_partner	Generator helper field for hard-negative construction
_hard_negative_pair_type	Generator helper field for hard-negative construction

Loading Examples

With pandas:

import pandas as pd

clinic = pd.read_csv("clinic_patients.csv")
hospital = pd.read_csv("hospital_patients.csv")
true_patients = pd.read_csv("true_patients.csv")

After uploading to Hugging Face:

from datasets import load_dataset

repo_id = "YOUR_USERNAME/YOUR_DATASET_REPO"
clinic = load_dataset(repo_id, data_files="clinic_patients.csv")["train"]
true_patients = load_dataset(repo_id, data_files="true_patients.csv")["train"]

Load all six source tables as named splits:

from datasets import load_dataset

repo_id = "YOUR_USERNAME/YOUR_DATASET_REPO"
data_files = {
    "clinic": "clinic_patients.csv",
    "hospital": "hospital_patients.csv",
    "insurance": "insurance_members.csv",
    "lab_test": "lab_test_patients.csv",
    "pharmacy": "pharmacy_prescriptions.csv",
    "vaccination": "vaccination_records.csv",
}
sources = load_dataset(repo_id, data_files=data_files)

Intended Use

This dataset is intended for:

• record linkage across Vietnamese healthcare source systems;
• identity-field preprocessing and normalization experiments;
• synthetic data quality checks;
• development of entity resolution pipelines.

Limitations

This is a synthetic dataset and should not be used as real healthcare evidence or as a demographic sample. The data is designed for controlled technical experiments only.