synthetic bool 1
class | id stringclasses 10
values | given_name stringclasses 10
values | family_name stringclasses 8
values | date_of_birth timestamp[s]date 1957-02-27 00:00:00 2004-03-30 00:00:00 | emails listlengths 1 1 | usernames listlengths 1 1 | phones listlengths 1 1 | addresses listlengths 1 1 | employment listlengths 1 1 | education listlengths 1 1 | national_ids listlengths 1 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|
true | persona-0001 | Joel | Fisher | 2003-03-04T00:00:00 | [
{
"synthetic": true,
"value": "synth_joel_fisher_0001@example.test",
"kind": "primary"
}
] | [
{
"synthetic": true,
"value": "synth_joel_fisher_0001"
}
] | [
{
"synthetic": true,
"value": "+1-200-555-0100"
}
] | [
{
"synthetic": true,
"house_number": 100,
"street_name": "1 Example Avenue",
"city": "Testville",
"postal_code": "00000",
"country_code": "ZZ"
}
] | [
{
"synthetic": true,
"organization": "Example Works 0001",
"role": "Synthetic Researcher"
}
] | [
{
"synthetic": true,
"institution": "Test University 0001",
"graduation_year": 2025
}
] | [
{
"synthetic": true,
"value": "SYN-202607199",
"checksum_valid": false
}
] |
true | persona-0002 | Leslie | Fisher | 1975-04-24T00:00:00 | [
{
"synthetic": true,
"value": "synth_leslie_begum_0002@example.test",
"kind": "primary"
}
] | [
{
"synthetic": true,
"value": "synth_leslie_begum_0002"
}
] | [
{
"synthetic": true,
"value": "+1-200-555-0101"
}
] | [
{
"synthetic": true,
"house_number": 100,
"street_name": "1 Example Avenue",
"city": "Testville",
"postal_code": "00000",
"country_code": "ZZ"
}
] | [
{
"synthetic": true,
"organization": "Example Works 0002",
"role": "Synthetic Researcher"
}
] | [
{
"synthetic": true,
"institution": "Test University 0002",
"graduation_year": 1997
}
] | [
{
"synthetic": true,
"value": "SYN-202607207",
"checksum_valid": false
}
] |
true | persona-0003 | Bradley | Fletcher | 2004-03-30T00:00:00 | [
{
"synthetic": true,
"value": "synth_bradley_fletcher_0003@example.test",
"kind": "primary"
}
] | [
{
"synthetic": true,
"value": "synth_bradley_fletcher_0003"
}
] | [
{
"synthetic": true,
"value": "+1-200-555-0102"
}
] | [
{
"synthetic": true,
"house_number": 102,
"street_name": "3 Example Avenue",
"city": "Testville",
"postal_code": "00000",
"country_code": "ZZ"
}
] | [
{
"synthetic": true,
"organization": "Example Works 0002",
"role": "Synthetic Researcher"
}
] | [
{
"synthetic": true,
"institution": "Test University 0003",
"graduation_year": 2026
}
] | [
{
"synthetic": true,
"value": "SYN-202607215",
"checksum_valid": false
}
] |
true | persona-0004 | Jacob | Sullivan | 1981-01-13T00:00:00 | [
{
"synthetic": true,
"value": "synth_jacob_sullivan_0004@example.test",
"kind": "primary"
}
] | [
{
"synthetic": true,
"value": "synth_jacob_sullivan_0004"
}
] | [
{
"synthetic": true,
"value": "+1-200-555-0103"
}
] | [
{
"synthetic": true,
"house_number": 103,
"street_name": "4 Example Avenue",
"city": "Testville",
"postal_code": "00000",
"country_code": "ZZ"
}
] | [
{
"synthetic": true,
"organization": "Example Works 0004",
"role": "Fixture Designer"
}
] | [
{
"synthetic": true,
"institution": "Test University 0003",
"graduation_year": 2026
}
] | [
{
"synthetic": true,
"value": "SYN-202607223",
"checksum_valid": false
}
] |
true | persona-0005 | Denis | Lawson | 1965-06-07T00:00:00 | [
{
"synthetic": true,
"value": "synth_denis_lawson_0005@example.test",
"kind": "primary"
}
] | [
{
"synthetic": true,
"value": "synth_denis_lawson_0005"
}
] | [
{
"synthetic": true,
"value": "+1-200-555-0104"
}
] | [
{
"synthetic": true,
"house_number": 104,
"street_name": "4 Example Avenue",
"city": "Testville",
"postal_code": "00000",
"country_code": "ZZ"
}
] | [
{
"synthetic": true,
"organization": "Example Works 0005",
"role": "Synthetic Researcher"
}
] | [
{
"synthetic": true,
"institution": "Test University 0005",
"graduation_year": 1987
}
] | [
{
"synthetic": true,
"value": "SYN-202607231",
"checksum_valid": false
}
] |
true | persona-0006 | Samuel | Fuller | 1958-08-15T00:00:00 | [
{
"synthetic": true,
"value": "synth_samuel_fuller_0006@example.test",
"kind": "primary"
}
] | [
{
"synthetic": true,
"value": "synth_samuel_fuller_0006"
}
] | [
{
"synthetic": true,
"value": "+1-200-555-0105"
}
] | [
{
"synthetic": true,
"house_number": 105,
"street_name": "6 Example Avenue",
"city": "Testville",
"postal_code": "00000",
"country_code": "ZZ"
}
] | [
{
"synthetic": true,
"organization": "Example Works 0006",
"role": "Test Engineer"
}
] | [
{
"synthetic": true,
"institution": "Test University 0006",
"graduation_year": 1980
}
] | [
{
"synthetic": true,
"value": "SYN-202607249",
"checksum_valid": false
}
] |
true | persona-0007 | Susan | Fuller | 1973-09-26T00:00:00 | [
{
"synthetic": true,
"value": "synth_susan_smith_0007@example.test",
"kind": "primary"
}
] | [
{
"synthetic": true,
"value": "synth_susan_smith_0007"
}
] | [
{
"synthetic": true,
"value": "+1-200-555-0106"
}
] | [
{
"synthetic": true,
"house_number": 105,
"street_name": "6 Example Avenue",
"city": "Testville",
"postal_code": "00000",
"country_code": "ZZ"
}
] | [
{
"synthetic": true,
"organization": "Example Works 0007",
"role": "Fixture Designer"
}
] | [
{
"synthetic": true,
"institution": "Test University 0007",
"graduation_year": 1995
}
] | [
{
"synthetic": true,
"value": "SYN-202607256",
"checksum_valid": false
}
] |
true | persona-0008 | Annette | Jones | 1965-01-16T00:00:00 | [
{
"synthetic": true,
"value": "synth_annette_jones_0008@example.test",
"kind": "primary"
}
] | [
{
"synthetic": true,
"value": "synth_annette_jones_0008"
}
] | [
{
"synthetic": true,
"value": "+1-200-555-0107"
}
] | [
{
"synthetic": true,
"house_number": 107,
"street_name": "8 Example Avenue",
"city": "Testville",
"postal_code": "00000",
"country_code": "ZZ"
}
] | [
{
"synthetic": true,
"organization": "Example Works 0007",
"role": "Fixture Designer"
}
] | [
{
"synthetic": true,
"institution": "Test University 0008",
"graduation_year": 1987
}
] | [
{
"synthetic": true,
"value": "SYN-202607264",
"checksum_valid": false
}
] |
true | persona-0009 | Paula | Robson | 1991-10-14T00:00:00 | [
{
"synthetic": true,
"value": "synth_paula_robson_0009@example.test",
"kind": "primary"
}
] | [
{
"synthetic": true,
"value": "synth_paula_robson_0009"
}
] | [
{
"synthetic": true,
"value": "+1-200-555-0108"
}
] | [
{
"synthetic": true,
"house_number": 108,
"street_name": "9 Example Avenue",
"city": "Testville",
"postal_code": "00000",
"country_code": "ZZ"
}
] | [
{
"synthetic": true,
"organization": "Example Works 0009",
"role": "Synthetic Researcher"
}
] | [
{
"synthetic": true,
"institution": "Test University 0008",
"graduation_year": 1987
}
] | [
{
"synthetic": true,
"value": "SYN-202607272",
"checksum_valid": false
}
] |
true | persona-0010 | Kathryn | Rhodes | 1957-02-27T00:00:00 | [
{
"synthetic": true,
"value": "synth_kathryn_rhodes_0010@example.test",
"kind": "primary"
}
] | [
{
"synthetic": true,
"value": "synth_kathryn_rhodes_0010"
}
] | [
{
"synthetic": true,
"value": "+1-200-555-0109"
}
] | [
{
"synthetic": true,
"house_number": 109,
"street_name": "9 Example Avenue",
"city": "Testville",
"postal_code": "00000",
"country_code": "ZZ"
}
] | [
{
"synthetic": true,
"organization": "Example Works 0010",
"role": "Test Engineer"
}
] | [
{
"synthetic": true,
"institution": "Test University 0010",
"graduation_year": 1979
}
] | [
{
"synthetic": true,
"value": "SYN-202607280",
"checksum_valid": false
}
] |
SynthWorld Frozen Benchmarks
Deterministic, connected synthetic identity graphs with ground-truth answer keys, for testing privacy, PII-extraction, entity-resolution, and exposure-analysis systems — without collecting or fabricating data about real people.
Unlike sentence-level PII corpora, SynthWorld records are linked: personas form a connected society with an explicit relationship graph (family / colleague / classmate / neighbour / social), and every relationship edge carries the exact evidence that supports it. Each benchmark family keeps the product-safe public input physically separate from the evaluator-only answer key.
These artifacts are the frozen golden benchmarks of the
SynthWorld generator
(pip install idcognito-synthworld, v0.8.0+), generated from seed 20260719
at ten personas and authenticated by SHA-256 manifests. The generator's CI
regenerates them byte-for-byte on every commit and fails on any drift, so
scores measured against these files are comparable across time and systems.
Every record is unmistakably fake
Safety is mechanical, not procedural — enforced by the generator's type system and test suite:
- every object carries
synthetic: true; - emails use the reserved
example.testdomain; - phone numbers sit in the fictional North American
555-01xxblock; - addresses are on example-named streets in
Testville, postal code00000, countryZZ; - national identifiers carry a
SYN-prefix with deliberately invalid checksums.
This dataset must never be used to impersonate, target, or investigate any person. There is nothing to de-anonymise: no real person's data was used at any stage.
What's in the repository
frozen/ holds the authoritative artifacts, byte-identical to the ones
shipped inside the Python package, plus their SHA-256 manifests:
| File | SHA-256 |
|---|---|
frozen/golden-v1.json |
8b75fcd932dbbe2d0ea94d034f8c546c6c3857d3c99669180222f807cf48755d |
frozen/extraction-golden-v1.json |
69bf567bf122ed7831f0963883b0524c3b9d991b5ef0f7a5b6b7ce69ee234e57 |
frozen/extraction-public-golden-v1.json |
10632f000f8aeb8ccd8557476b18b940cfd35b91f7cb38dcf209269de987160e |
frozen/extraction-answer-golden-v1.json |
ffc6503df8cbb9d8f99161ee29324e8d0a0187901118e8eeaa590b49e7598f78 |
frozen/connection-golden-v1.json |
044b52650039059b5841e0af9c512e2bbc7dbb089d43e465d43fda06889a8fe4 |
frozen/connection-public-golden-v1.json |
fa896ae417f75d6fc4ac650ec26683a39b3994bc004c743fc1fcc71f605ff17e |
frozen/risk-public-golden-v1.json |
690c2fb081826f72970af1e729651819c3563d9aa590190d566af24424238b33 |
frozen/risk-answer-golden-v1.json |
32479aa077887a63d31a4de3dfbc822f01f6622f09ea6dd6d2a87e3af3cb319e |
golden-v1.json— the exposure corpus: the world (10 personas, 9 evidence-backed relationship edges) plus one scripted exposure history per persona (breach, broker, search, and social records).extraction-public-golden-v1.json/extraction-answer-golden-v1.json— the exact-span PII extraction benchmark: 62 product-safe pages, and a physically separate answer key with the exact character span of every planted identifier. Feed a system only the public pages; join the answer key afterwards to score. (extraction-golden-v1.jsonis the equivalent annotated bundle for offline evaluators — page and answer key together, so it is not a product-safe input.)connection-golden-v1.json/connection-public-golden-v1.json— the adversarial entity-resolution benchmark and the product-safe public half (18 raw identity records). Public inputs and oracle truth are separate files by design.risk-public-golden-v1.json/risk-answer-golden-v1.json— risk-calibration cases: opaque public observations, physically separated from the score-and-factor answer key.
viewer/ holds JSONL projections of the frozen artifacts so the Dataset
Viewer can render them as tables (personas, relationships,
public_extraction_pages, extraction_answers, public_identity_records).
They are derived conveniences; only frozen/ is authoritative and
checksummed.
Score a system against these benchmarks
Since v0.8.0 the package ships a unified evaluation SDK. A system consumes only the public input, emits predictions in an oracle-free schema, and the evaluator loads the answer key itself:
pip install idcognito-synthworld
synthworld evaluate extraction --predictions my_predictions.json --seed 20260719 --summary
Tasks: extraction, entity-resolution, relationship, risk. The report
gives per-task metrics (exact/relaxed span F1, pairwise + B-cubed, edge F1 with
evidence coverage, risk band accuracy + Brier) and failure slices, tied to the
scored bytes by content digest.
The public/oracle boundary
Answer keys exist so evaluators can score systems — a pipeline that reads its
own answer key is measuring nothing. The public artifacts
(extraction-public-*, connection-public-*, risk-public-*) carry only what
a system may see; the answer keys are separate files. The generator enforces
this split in the product constructors; keep it when you build on these files.
Because the golden benchmark ships in this repository the answer keys are
public, so this separation is an API-hygiene guarantee, not an anti-cheating
measure — adversarial or leaderboard use needs held-out private seeds.
Quick start
Browse tables with 🤗 Datasets:
from datasets import load_dataset
pages = load_dataset("Bluntmachetti7/synthworld-benchmarks", "public_extraction_pages")
answers = load_dataset("Bluntmachetti7/synthworld-benchmarks", "extraction_answers")
print(pages["golden"][0]["content"]) # product-safe input
print(answers["golden"][0]["spans"]) # evaluator-only exact spans
Score against the authoritative frozen bytes:
from huggingface_hub import hf_hub_download
import hashlib, json
path = hf_hub_download(
"Bluntmachetti7/synthworld-benchmarks",
"frozen/extraction-answer-golden-v1.json",
repo_type="dataset",
)
blob = open(path, "rb").read()
assert hashlib.sha256(blob).hexdigest() == (
"ffc6503df8cbb9d8f99161ee29324e8d0a0187901118e8eeaa590b49e7598f78"
)
answer_key = json.loads(blob)
Regenerate everything from source, at any scale, with the generator:
synthworld generate --seed 20260719 --persona-count 100 --output world.json
Links
- Generator source: https://github.com/bluntmachetti/synthworld
- PyPI: https://pypi.org/project/idcognito-synthworld/
- Field reference and schema contracts: DATA_DICTIONARY.md
- Baseline results and visual demonstrations: BENCHMARKS.md
Licensed under Apache-2.0. Copyright 2026 Idcognito contributors.
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