README.md

---
license: cc-by-4.0
pretty_name: Onomaverse Names Datasets
language:
- en
- fr
- de
- es
- ru
- ar
- zh
- ja
- hi
- pt
- it
tags:
- names
- onomastics
- transliteration
- gender-inference
- name-frequency
- name-equivalence
- genealogy
- multilingual
size_categories:
- 1M<n<10M
configs:
- config_name: given-name-frequency
  data_files: given-name-frequency.parquet
- config_name: surname-frequency
  data_files: surname-frequency.parquet
- config_name: name-gender-inference
  data_files: name-gender-inference.parquet
- config_name: name-transliterations
  data_files: name-transliterations.parquet
- config_name: name-equivalence
  data_files: name-equivalence.parquet
- config_name: name-days
  data_files: name-days.parquet
- config_name: popular-names-by-country-2026
  data_files: popular-names-by-country-2026.parquet
---

# Onomaverse Names Datasets

Open data on **38,069 names** across **106 countries** and **94 languages**: name frequencies, multilingual transliterations, gender inference, a name-equivalence graph, and name-day calendars.

🔗 **Source & full documentation:** [onomaverse.com/datasets](https://onomaverse.com/datasets)
📄 **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) · 🆔 **DOI:** [10.5281/zenodo.20797446](https://doi.org/10.5281/zenodo.20797446)

> *Names data from [Onomaverse](https://onomaverse.com/datasets), licensed CC BY 4.0.*

## Subsets

Each subset is a separate `config` — load any of them by name. Per-subset documentation lives on the website.

| Subset (`config_name`) | Rows | What it is | Page |
|---|---|---|---|
| `given-name-frequency` | 53,868 | First-name frequency per country, with gender & in-country share | [page](https://onomaverse.com/datasets/given-name-frequency) |
| `surname-frequency` | 41,248 | Surname frequency per country, with in-country share | [page](https://onomaverse.com/datasets/surname-frequency) |
| `name-gender-inference` | 18,208 | Male/female counts and P(male) per first name | [page](https://onomaverse.com/datasets/name-gender-inference) |
| `name-transliterations` | 1,126,144 | Each name across up to 94 languages & scripts | [page](https://onomaverse.com/datasets/name-transliterations) |
| `name-equivalence` | 70,626 | Variants & cross-language equivalents (John ↔ Juan ↔ Ivan) | [page](https://onomaverse.com/datasets/name-equivalence) |
| `name-days` | 2,426 | Name-day dates by name & region (CSV + importable `.ics`) | [page](https://onomaverse.com/datasets/name-days) |
| `popular-names-by-country-2026` | 15,654 | Top 100 given names & surnames per country | [page](https://onomaverse.com/datasets/popular-names-by-country-2026) |

## Quick start

```python
from datasets import load_dataset

# Pick any subset by its config name:
ds = load_dataset("onomaverse/names", "name-transliterations", split="train")
print(ds[0])

gnf = load_dataset("onomaverse/names", "given-name-frequency", split="train")
```

Every subset also ships as **CSV / JSON Lines / Parquet** in this repo, so you can grab files directly:

```python
import pandas as pd
df = pd.read_parquet("hf://datasets/onomaverse/names/given-name-frequency.parquet")
```

## Attribution (required)

Names data from [Onomaverse](https://onomaverse.com/datasets), licensed CC BY 4.0. A link back to [onomaverse.com/datasets](https://onomaverse.com/datasets) satisfies the attribution requirement.

This dataset contains **no descriptive prose** (meanings, etymology, biographies). For that — for every name, in 94 languages — visit [onomaverse.com](https://onomaverse.com).