EthnicErotic/phenotype-catalog

Ethnic Erotic Phenotype Catalog

A structured complement to Wikipedia for ethnographic data — 480+ ethnic groups indexed with normalized linguistic, geographic, cultural, and phenotype metadata, plus 13K+ notable-people references and 5K+ vision-grounded per-image phenotype observations.

Curated from the live catalog at ethnicerotic.com and published as an open dataset for anthropological reference, AI training, and ethnographic research.

What's in v3

This release adds two structured surfaces on top of v2:

• Controlled vocabularies — 22 per-anatomy-category JSON schemas covering 196 dimensions and 853 buckets across the full body (skin, head & face, eyes, lips & mouth, nose, ears, jaw & chin, head shape, head hair, body hair, neck, torso, breast, body shape, butt, arms, hands, legs, feet, plus three internal-only categories). Each dimension is grounded in a peer-reviewed scale (Fitzpatrick, Halls, Heath-Carter, Andre Walker, Manning 2D:4D, Hamilton-Norwood, Ludwig, Mendieta, Cavanagh-Rodgers, etc.) with its citation. The intent is for researchers to use this taxonomy as a re-implementable reference for vision-grounded phenotype analysis. New vocabulary_dimensions config (flat, ~196 rows) plus the full nested JSON schemas at data/vocabularies.jsonl.
• Coverage scores on every ethnic group — coverage_score (0–100, blended across data depth + image-observation count + per-dimension fill rate + atlas-category breadth) and coverage_breakdown (full per-component JSON). Surfaces SERP-side as the "Data Depth" card on each /ethnic/{slug} page; here it lets researchers filter for well-covered groups before training.

What's in v2

The previous release added three structured surfaces on top of the original ethnographic catalog:

• Synthesized phenotype profiles for 480 of 484 groups (ethnicities.phenotype_profile column) — editorial-anthropology prose covering skin tone (Fitzpatrick), hair, facial features, and build, drafted from public anthropological sources.
• Notable people references — 13K Wikipedia-sourced people names linked back to their ethnic group via ethnic_id, with image URLs and short "known for" descriptors. New notable_people config.
• Per-image phenotype observations — 5.6K Wikipedia public-domain photos analyzed via vision LLM (us.anthropic.claude-sonnet-4-6 Bedrock inference profile) into 14 structured phenotype fields per image: skin Fitzpatrick + undertone, hair color/texture/pattern, eye color/shape (incl. epicanthic-fold detection), facial features, build, image quality, confidence (0–1), and per-row source URL. New image_observations config.

The image-observations config is the headline addition of v2. It is, to our knowledge, the largest publicly-released dataset of structured per-image phenotype observations grounded in source-attributable photos. v3's vocabulary expansion lays the groundwork for a v4 release that re-runs the analysis pipeline against the 22-category 196-dimension schema instead of the legacy 14 fields.

Source

• Live catalog: https://ethnicerotic.com
• Browse by region: https://ethnicerotic.com/world
• Phenotype atlas: https://ethnicerotic.com/atlas
• Editorial reference articles: https://ethnicerotic.com/articles — companion long-form articles describing the peer-reviewed classification scales used in vocabulary_dimensions (see "Companion editorial reference" below)
• Reproducibility code (Apache 2.0): https://github.com/Agaveis/phenotype-catalog-pipeline
• Markdown corpus: https://ethnicerotic.com/llms-full.txt
• Sitemap: https://ethnicerotic.com/sitemap-index.xml

Each row's canonical_url field links back to the site's page for that entity, where you'll find the full editorial, image references, and community discussion.

Configurations

This dataset has four configs, each a separate config_name:

ethnicities (484 rows)

One row per ethnic group.

Column	Type	Description
id	int	Stable internal identifier
name	string	Common English name of the ethnic group
homeland	string	Geographic homeland (free text, may include country + region)
region	string	Continental sub-region (e.g., "East Asia", "Northern Europe")
subgroup	string	Sub-ethnic group or branch, when applicable
language	string	Primary language(s) spoken
language_codes	string	ISO 639 language codes (when known)
iso_countries	string	ISO 3166 country codes the group is associated with
religion	string	Predominant religion(s)
description	string	Site-curated editorial paragraph
phenotype_profile	string	NEW (v2) — synthesized phenotype prose: skin Fitzpatrick range, hair, facial features, build. Plain text, paragraph-broken.
image_observed_distribution	string	NEW (v2) — aggregated summary of image_observations for the group: sample size, source breakdown, Fitzpatrick distribution, hair/eye distributions, epicanthic-fold percentages, sample-bias caveats. Plain text.
image_observed_at	string	NEW (v2) — ISO timestamp of when the observed-distribution summary was last aggregated.
notable_people_count	int	NEW (v2) — count of rows in notable_people for this group.
coverage_score	int	NEW (v3) — 0–100 blended data-depth score (image count, dimension fill, atlas breadth, profile completeness). Surfaces as "Data Depth" on each /ethnic/{slug} page.
coverage_breakdown	string	NEW (v3) — JSON-encoded per-component breakdown of how coverage_score was computed for this row.
coverage_updated_at	string	NEW (v3) — ISO timestamp of the last coverage_score recomputation.
wiki_url	string	Link to a Wikipedia article on the group, when known
canonical_url	string	Link to the corresponding page on ethnicerotic.com

atlas (~21 rows)

The phenotype atlas — morphological reference categories (eyes, lips, nose, hair, skin, body composition).

Column	Type	Description
id	int	Stable internal identifier
category	string	Top-level phenotype category
sub_category	string	Sub-category or named variation
name	string	Specific variation name
description	string	Editorial description
value_type	string	Type of measurement / variation
canonical_url	string	Link to the corresponding atlas page

notable_people (~13K rows) — NEW in v2

Wikipedia-sourced notable-people references, joined to ethnic groups. Sourced from each group's "List of {Ethnicity} people" article (where one exists). 291 of 484 ethnic groups have at least one row here; 193 do not (small / obscure groups for which no such list exists on Wikipedia).

Column	Type	Description
id	int	Stable identifier
ethnic_id	int	FK → ethnicities.id
ethnic_name	string	Denormalized ethnic-group name
ethnic_canonical_url	string	Link to the group's catalog page
name	string	Person's common English name
known_for	string	Short editorial descriptor (e.g., "Singer-songwriter, 1940s")
birth_year	int	Birth year if known
death_year	int	Death year if known
reference_url	string	Link to the source page (typically Wikipedia)
image_url	string	Wikipedia image URL when available
source_type	string	Source of the reference (currently always wikipedia)

image_observations (~5.6K rows) — NEW in v2

Per-image phenotype observations. Each row is a single Wikipedia-sourced public-domain photo of a notable person, analyzed by a vision LLM into structured phenotype fields. Joinable to notable_people via example_id and to ethnicities via ethnic_id.

Column	Type	Description
id	int	Stable identifier
example_id	int	FK → notable_people.id (the photographed person)
ethnic_id	int	FK → ethnicities.id
ethnic_name	string	Denormalized ethnic-group name
person_name	string	Denormalized person's name
image_url	string	Source image URL (typically upload.wikimedia.org/...)
reference_url	string	Wikipedia article the image came from
skin_tone	string	Fitzpatrick range, e.g. Type II-III
skin_undertone	string	cool, warm, neutral, or descriptive
hair_color	string	e.g. dark brown, blonde, black with grey
hair_texture	string	straight, wavy, curly, coily, etc.
hair_pattern	string	More specific descriptor when present
eye_color	string	brown, hazel, blue, etc.
eye_shape	string	Includes epicanthic-fold detection: almond, with epicanthic fold, etc.
facial_features	string	Free-text description of distinctive features
build	string	Body build descriptor when visible
visible_extent	string	Which body parts are visible (head only, head and shoulders, etc.)
image_quality	string	high, medium, low, or very_low
obscurations	string	Glasses, hat, makeup, etc.
confidence	float	0.0–1.0 — the model's self-reported confidence in the analysis
analysis_model	string	Model identifier (currently us.anthropic.claude-sonnet-4-6)
analyzed_at	string	ISO timestamp

vocabulary_dimensions (~196 rows) — NEW in v3

A flat tabular view of the 22 controlled-vocabulary JSON schemas — one row per (category, dimension) pair. The full nested schemas are also published at data/vocabularies.jsonl (22 rows, full structure preserved with bucket definitions and citations).

Column	Type	Description
atlas_category	string	One of 22 anatomical categories (skin, eyes, head-hair, body-shape, breast, arms, hands, legs, feet, torso, neck, face-proportions, lips-and-mouth, nose, ears, jaw-and-chin, head-shape, body-hair, butt, plus internal-only vulva, penis, pubic-region)
uberon_id	string	UBERON ontology ID for the anatomical region (e.g. UBERON:0001460 for arms)
fma_id	string	FMA (Foundational Model of Anatomy) ID for the region
vocabulary_version	string	Semver of the vocabulary file (currently 1.0.0 for all 22)
vocabulary_license	string	CC-BY-4.0
dimension_id	string	Stable identifier for this dimension within its category (e.g. arm_length_proportional)
dimension_name	string	Human-readable name
dimension_type	string	categorical, ordinal, or numeric
scale	string	The peer-reviewed scale this dimension is grounded in (e.g. fitzpatrick_skin_type, halls_extended, andre_walker, cavanagh_rodgers, manning_2d4d_ratio, hamilton_norwood, ludwig_female_pattern, mendieta_buttock_classification, etc.)
scale_citation	string	Bibliographic citation for the scale, including DOIs where available
unit	string	Unit for numeric dimensions (cm, kg, ratio, degrees, etc.); empty for categorical/ordinal
description	string	Operational definition of the dimension
bucket_count	int	Number of categorical/ordinal buckets defined for this dimension
bucket_ids	string	Pipe-delimited bucket IDs (e.g. straight|wavy|curly|coily for hair texture)
observability	string	Whether the dimension is reliably assessable from a single photograph

The internal-only categories (vulva, penis, pubic-region) are included in the schemas for completeness of the canonical taxonomy but are flagged as not analysed from the photo corpus, which is composed of Wikipedia-sourced public-figure portraits where genital anatomy is not visible.

Quick start

from datasets import load_dataset

# Ethnic groups (484 rows, normalized metadata + phenotype profile)
ethnicities = load_dataset("EthnicErotic/phenotype-catalog", "ethnicities", split="train")

# Phenotype atlas (~21 reference categories)
atlas = load_dataset("EthnicErotic/phenotype-catalog", "atlas", split="train")

# Notable people (~13K Wikipedia people, joinable to ethnicities via ethnic_id)
people = load_dataset("EthnicErotic/phenotype-catalog", "notable_people", split="train")

# Per-image phenotype observations (~5.6K rows, joinable to people via example_id)
observations = load_dataset("EthnicErotic/phenotype-catalog", "image_observations", split="train")

# Controlled vocabularies — flat dimension table (196 rows)
vocab_dims = load_dataset("EthnicErotic/phenotype-catalog", "vocabulary_dimensions", split="train")

# Full nested schemas — load directly via the HF Hub file API
from huggingface_hub import hf_hub_download
import json
path = hf_hub_download("EthnicErotic/phenotype-catalog", "data/vocabularies.jsonl", repo_type="dataset")
vocabularies = [json.loads(line) for line in open(path)]

Example join — get all phenotype observations for one ethnic group:

import pandas as pd
e = ethnicities.to_pandas()
o = observations.to_pandas()
target = e[e.name == "Punjabis"]
joined = o[o.ethnic_id == target.id.iloc[0]]
print(joined[["person_name", "skin_tone", "hair_color", "eye_color", "confidence"]])

Companion editorial reference

The classification scales referenced in the vocabulary_dimensions.scale column are each documented in a peer-reviewed source publication. For readers who want to understand a scale before using it, a long-form companion article is published on the live catalog covering each. Direct mappings:

Scale referenced in vocabulary_dimensions.scale	Companion article
fitzpatrick_skin_type + ITA° + Halls undertone	How skin tone is classified — Fitzpatrick I-VI, ITA° colorimetric, Halls undertone, von Luschan (historical-only)
andre_walker (hair texture) + MC1R / TYRP1 pigmentation	Hair texture, color, and density across populations — Andre Walker scale, MC1R red-hair genetics, Solomon Islands TYRP1 blondism distinct from European blondism, hair density by population
HERC2/OCA2 iris-color + epicanthic-fold morphology	Eye color and morphology — HERC2 rs12913832 single-mutation blue-eye origin, population eye-color distributions, palpebral fissure obliquity
heath_carter somatotype + BMI + WHR	Body composition and somatotype — Heath-Carter framework, WHO Asia-Pacific BMI cutoffs, regional fat distribution
Adult stature (NCD-RisC)	Adult height across world populations — NCD-RisC 2016 measured-height dataset, secular trend, self-report inflation caveat
Penile dimensions (Veale et al. 2014)	Penile dimensions across world populations — Veale 2014 BJUI systematic review (n=15,521), individual-population clinical studies, sampling-bias caveats
mendieta_buttock_classification + breast volumetric studies	Breast morphology — Mendieta classification, Sano/Mugea/Sigurdson volumetric studies, lingerie-sales-data is NOT anthropometry
ISO 9407 Mondopoint + Brannock + foot anthropometry	Foot length and shoe size — Mondopoint system, population mean foot lengths from Krauss 2008, cross-system conversion table
All scales (catalog)	The peer-reviewed classification scales we use, and why — inventory of every scale documented in vocabulary_dimensions with its source publication and known limitations
Dataset-comprehension primer	How to read the phenotype catalog — what catalog modal/range notation means, what the catalog is NOT (predictive of individuals, racial classification, static, exhaustive)

These articles cite the same source publications listed in vocabulary_dimensions.scale_citation, plus additional population-specific studies. They are editorial reference content (CC BY 4.0 on the live site) — not part of the dataset's structured rows, so the dataset schema is unchanged. Use them when you need plain-language context for what a scale column value actually denotes.

Methodology

Ethnographic catalog

Human-curated. Entries are added and edited through an admin interface against a SQL Server backing store; the dataset here is a snapshot exported via Prisma directly from production. Region taxonomy follows a standard continent → sub-region → ethnicity hierarchy (Americas, Europe, Africa, Asia, Oceania at the continental level; 23 sub-regions). Entries with no name are excluded.

Phenotype profiles (ethnicities.phenotype_profile)

Drafted by Anthropic Claude (Opus / Sonnet) from public anthropological sources, sanitized and stored on the live catalog. Each profile is 300–450 words. The profile is descriptive prose, not a quantitative measurement.

Notable people (notable_people)

Scraped from each group's "List of {Ethnicity} people" Wikipedia article (where one exists), with image URLs sourced from each person's individual Wikipedia article (upload.wikimedia.org). 291 of 484 groups have at least one entry; 193 do not.

Per-image phenotype observations (image_observations)

Each row is the output of a single vision-LLM call analyzing one Wikipedia public-domain photograph. The model used is the Anthropic Claude Sonnet 4.6 inference profile on AWS Bedrock (us.anthropic.claude-sonnet-4-6). The prompt asks for 14 structured fields plus a self-reported confidence score (0–1) and image-quality bucket. Output is parsed JSON, sanitized into NVARCHAR columns, and stored alongside a raw_json audit trail (not redistributed in this dataset).

Coverage: 5,668 of ~13K notable-people rows have an image_observations row — those for which (a) an image URL was discoverable from Wikipedia, (b) the image fetched successfully under upload.wikimedia.org's rate-limit, and (c) the model returned valid structured output. Average self-reported confidence is 0.67. Quality split: 42% high · 39% medium · 16% low · 3% very-low.

Aggregated observed distributions (ethnicities.image_observed_distribution)

A deterministic SQL/JS aggregator (no LLM) produces a per-group HTML summary card from each group's image_observations rows: sample size, source breakdown, quality split, average confidence, Fitzpatrick distribution, hair color/texture distribution, eye color distribution, epicanthic-fold percentages, and explicit caveats:

• Sample-size warning if N < 10 or N < 25
• Low-quality warning if < 30% of images are image_quality = high
• Low-confidence warning if average confidence < 0.55
• Source-bias note when source is 100% Wikipedia, since "Wikipedia notable people" skews male and public-life and is not population-representative.

The HTML version of this summary is rendered on each /ethnic/{slug} page; the dataset's image_observed_distribution column is the same content as plain text.

Positioning vs Wikipedia

This dataset is a structural complement to Wikipedia, not a replacement.

Need	Use
Long-form prose, citations, multilingual articles	Wikipedia (follow wiki_url)
Normalized fields for programmatic access (homeland, language family, ISO codes, religion, region)	This dataset (ethnicities)
Cross-group queries ("all Bantu-language groups in Central Africa")	This dataset (ethnicities)
Phenotype reference (eyes, lips, nose, hair, skin, body morphology)	This dataset (atlas)
Vision-grounded per-image phenotype observations at scale	This dataset (image_observations) — Wikipedia has no equivalent
Notable people, ethnic-grouped	This dataset (notable_people)

Intended uses

• Anthropological / ethnographic reference — quick lookup of homeland, language, religion, sub-group affiliations across 480+ groups
• Computer-vision evaluation — phenotype-balanced image set drawn from public-domain Wikipedia photos with structured ground-truth labels (image_observations)
• AI model fine-tuning — multi-ethnic prompt grounding for image generators; Fitzpatrick-balanced training data; multilingual NLP
• Bias auditing — image_observations is source-balanced via the ethnic_id column, allowing per-group fairness analysis on downstream vision systems
• Educational use — coursework, research projects, geographic / cultural surveys
• Editorial and journalism — reference for stories touching ethnic diversity

Out-of-scope uses

• The dataset describes ethnic groups in aggregate. It does not describe individuals as ethnic representatives. Each row in image_observations is one observation of one photograph — not a claim about an individual's identity. Individual rows are not appropriate for individual profiling, identification, or surveillance applications.
• The dataset is descriptive, not prescriptive. Phenotypes within any ethnic group are diverse; the variations recorded are documented observations, not deterministic claims.
• The image_observations config should not be used as ground truth for human classification. The model's self-reported confidence and quality fields are guidance only.

Limitations & biases

• Wikipedia source skew. Notable-people rows come from Wikipedia's curatorial choices. Public-life prominence, gender, and Western-language coverage all bias which people end up listed. The aggregated image_observed_distribution column on ethnicities flags this explicitly when source is 100% Wikipedia.
• Sample-size variance. 209 of 484 groups have ≥3 image observations (the threshold below which image_observed_distribution is omitted). Below that, no aggregate is published; smaller groups should not be inferred from the per-image rows alone.
• Model self-report. image_observations.confidence is the model's own estimate, not external validation. Treat as a soft signal.
• Image-quality bucket bias. ~16% of images are image_quality = low and another 3% very_low. Filter on image_quality IN ('high','medium') for higher-fidelity subsets.
• Anglo-centric framing. Phenotype categories use English anthropological vocabulary. Some self-identifications and exonyms are not captured.
• Atlas granularity. The phenotype atlas is descriptive labels, not anthropometric standards.
• Editorial review. description and phenotype_profile are LLM-drafted from public sources. They are not peer-reviewed.

License

Creative Commons Attribution 4.0 International (CC BY 4.0)

You are free to use, share, and adapt this dataset for any purpose, including commercial — provided you give appropriate credit. See "Citation" below.

Image URLs in notable_people.image_url and image_observations.image_url reference Wikipedia / Wikimedia Commons content under their own licenses (typically CC-BY-SA, public domain, or various Creative Commons variants). Follow each reference_url to confirm the per-image license before redistributing the actual image data.

Citation

The pipeline + methodology paper has a Zenodo DOI; please cite both records when using this dataset:

@misc{phenotype_catalog_pipeline_2026,
  title         = {phenotype-catalog-pipeline: Wikipedia-sourced per-image phenotype observations across 239 ethnic groups},
  author        = {Jacoby, Jason},
  year          = {2026},
  publisher     = {Zenodo},
  version       = {v1.0.0},
  doi           = {10.5281/zenodo.20075617},
  url           = {https://doi.org/10.5281/zenodo.20075617}
}

@misc{ethnicerotic_phenotype_catalog_2026,
  title         = {PhenotypeCatalog: a public dataset of 5,668 per-image phenotype observations},
  author        = {Jacoby, Jason},
  year          = {2026},
  publisher     = {Hugging Face},
  url           = {https://huggingface.co/datasets/EthnicErotic/phenotype-catalog},
  note          = {Pipeline DOI: \url{https://doi.org/10.5281/zenodo.20075617}; Source: \url{https://ethnicerotic.com}}
}

Contact

• Live catalog: https://ethnicerotic.com
• Issues / contributions: https://ethnicerotic.com/community

Updates

This dataset is refreshed from the live source as the catalog grows. See the manifest in the repo root for the last refresh timestamp, schema version, and row counts.