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metadata 
license: cc-by-4.0
pretty_name: ProfileFoundry-Core-100K
configs:
  - config_name: person_objects
    default: true
    data_files:
      - split: train
        path: person_objects.parquet
  - config_name: profiles_jsonl
    data_files:
      - split: train
        path: profiles.jsonl
  - config_name: profiles
    data_files:
      - split: train
        path: profiles.parquet
  - config_name: addresses
    data_files:
      - split: train
        path: addresses.parquet
  - config_name: employment
    data_files:
      - split: train
        path: employment.parquet
  - config_name: education
    data_files:
      - split: train
        path: education.parquet
  - config_name: social_handles
    data_files:
      - split: train
        path: social_handles.parquet
  - config_name: health_allergies
    data_files:
      - split: train
        path: health_allergies.parquet
  - config_name: events
    data_files:
      - split: train
        path: events.parquet
  - config_name: households
    data_files:
      - split: train
        path: households.parquet
  - config_name: employers
    data_files:
      - split: train
        path: employers.parquet
  - config_name: relationships
    data_files:
      - split: train
        path: relationships.parquet

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.