You need to agree to share your contact information to access this dataset

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this dataset content.

ProfileFoundry-Core-100K

Synthetic Person Object dataset produced by ProfileFoundry. This is the vetted profilefoundry-core v1.0 release package; when uploaded to Hugging Face, verify the remote MANIFEST.json against this package before citing the hosted artifact as current.

  • SDK version: 0.1.0.dev0
  • Generation date: 2026-05-24
  • Exported at: 2026-05-24T00:00:00Z
  • Total profiles: 100,000
  • Total events: 709,228
  • Total social handles: 135,103
  • Total health allergies: 36,792
  • Total households: 40,338
  • Total employers: 52,491
  • Total relationships (edges): 518,564

Locale mix

  • AU: 7,000 profiles
  • CA: 8,000 profiles
  • IE: 4,000 profiles
  • IN: 20,000 profiles
  • NZ: 3,000 profiles
  • PH: 3,000 profiles
  • UK: 20,000 profiles
  • US: 35,000 profiles

Files

File Contents
profiles.jsonl Canonical Person Object, one JSON per line
person_objects.parquet Viewer-friendly complete Person Object rows with nested sections encoded as JSON strings
profiles.parquet Flat snapshot (one row per profile)
addresses.parquet Current and historical move addresses with valid_from/to and source_event_ids
employment.parquet One row per (profile, employment) with FK employer_id
education.parquet One row per (profile, education record)
social_handles.parquet One row per emitted social handle with platform and rendered handle
health_allergies.parquet One row per emitted health allergy
events.parquet Long-format event timeline with typed payload columns and payload_json
households.parquet One row per household with composition summary, address fields, and member_profile_ids_json
employers.parquet One row per unique employer_id with pool or inferred industry/size metadata, distinct/current employee counts, and employee profile ID lists
relationships.parquet Bidirectional graph edges across families, cohabiting partners, non-family household co-members, and a capped employer-colleague sample; rows carry household context and colleague rows carry employer_id
MANIFEST.json File inventory with SHA-256 hashes and row counts
dataset_card.md This file

License

  • Dataset: CC-BY-4.0
  • SDK: MIT
  • Embedded reference data retains its upstream license.

Provenance

Every profile carries generation.global_seed, generation.profile_seed, generation.sdk_version, and generation.reference_manifest_hash, which together identify the deterministic generation context. Re-running with the same --seed and pinned generation date reproduces the generated content including generation.generated_at.

Validation

Per-locale KS gaps (smaller = closer to reference data) and consistency-rate.

Locale age_ks_M age_ks_F edu_ks marital_ks consistency
US 0.104 0.100 0.004 0.091 100.00%
UK 0.101 0.093 0.011 0.095 100.00%
IN 0.124 0.124 0.002 0.104 100.00%
CA 0.109 0.102 0.007 0.080 100.00%
AU 0.116 0.102 0.010 0.083 100.00%

Release target: KS <= 0.10 per attribute and mean <= 0.07. This v1.0 release discloses the observed gaps rather than tuning them to force the target.

Leakage audit

Audit Profiles checked Findings Mode
self_collision 100000 1045 exact
wikidata 100000 342 bloom
email 100000 0 syntax_only

Wikidata audits use a Bloom filter (FP rate ~1e-4); reported leak counts are upper bounds.

Bias and limitations

  • Reference distributions are 2021–2023 census/ACS bootstraps; living populations drift, and the dataset does not reflect post-2023 changes.
  • Cross-household family edges (extended family) are deferred to v1.1.
  • households.composition_type_inferred is derived from represented family edges and member ages, not from the original generator spec. Because v1 is adults-only, *_with_children means represented adult children.
  • employment.parquet keeps the current employer first and historical jobs after it with valid_to populated.
  • Phone and address fields are generated synthetically and should be treated as test data, but plausible strings can still coincide with real-world records by chance. Release leakage evidence is published in the leakage section.
  • Income, net worth, and credit scores are statistical realisations, not individual-truth values. Don't use them for downstream decisions about real people.
  • This release contains structured Person Objects only. It does not include auxiliary generated-content datasets.
Downloads last month
65