name-generator / README.md
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---
dataset_info:
features:
- name: id
dtype: int64
- name: domain
dtype: string
- name: messages
list:
- name: role
dtype: string
- name: content
dtype: string
- name: name
dtype: string
- name: sex
dtype: string
- name: decade
dtype: int64
- name: country
dtype: string
- name: country_label
dtype: string
- name: region
dtype: string
- name: language
dtype: 'null'
- name: historical
dtype: bool
- name: archetype
dtype: string
- name: kind
dtype: string
- name: flavor
dtype: string
- name: setting
dtype: string
- name: role
dtype: string
- name: tone
dtype: string
- name: culture
dtype: string
splits:
- name: train
num_bytes: 3137542
num_examples: 13217
- name: validation
num_bytes: 167677
num_examples: 708
download_size: 1007355
dataset_size: 3305219
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
language:
- en
license: cc-by-sa-4.0
size_categories:
- 10K<n<100K
task_categories:
- text-generation
pretty_name: Name Generator
tags:
- names
- character-names
- fantasy-names
- creative-writing
- synthetic
- sft
---
# Name Generator
Short requests for a character name, each answered with a name and nothing else: real-world names
for real-world requests ("a Brazilian man's name" → *Paulo Rozeno Freitas*) and invented names for
fantasy requests ("a grim name for a dwarven blacksmith"). Made for fine-tuning small models out of
the few names language models keep reaching for (Elara Voss, Kael Thorne, Dr. Sarah Chen).
| split | rows | real | fantasy |
|---|---|---|---|
| train | 13,217 | 8,536 | 4,681 |
| validation | 708 | 459 | 249 |
```json
{"domain": "real", "messages": [{"role": "user", "content": "What is a Spanish-inspired male name with a Spanish-sounding surname?"}, {"role": "assistant", "content": "David Úbeda"}]}
{"domain": "fantasy", "messages": [{"role": "user", "content": "A harsh but evocative name for a grizzled hill dwarf smith in my grim mountain kingdom"}, {"role": "assistant", "content": "Korgell Gellbau"}]}
```
The `v1` tag holds the earlier real-names-only release.
## How it was made
### Real names
1. **Names.** Full names were sampled with namebank from public name data: national statistics
offices (US SSA and Census, INSEE, ONS, INE, IBGE, PESEL, SSB, SCB and others), Wikidata people
grouped by citizenship and birth decade, and Faker/Mimesis locale lists. Names follow real
frequency distributions by country, sex and birth decade; first names and surnames are paired
the way they co-occur; local conventions apply (name order, double surnames, gendered surnames,
patronymics). Coverage: 333 countries and historical states; 2,129 rows
(24%) from historical states. Most frequent: China (330), India (329), United States (166), Indonesia (147), Pakistan (137), Nigeria (134), Brazil (128), Bangladesh (128).
2. **Requests.** Each name, with its sex, birth decade and country, went to
Ministral-3-3B-Instruct-2512 (Q8_0 GGUF), which wrote a request that the name answers.
### Fantasy names
1. **Names.** `namebank fantasy` invents them. Species (elves, dwarves, orcs, dragons, fae...) get
invented naming languages, each culture with its own sounds, syllable shapes and morphemes
drawn from a palette for its species; species never draw on real languages. Human cultures
are modeled on real naming traditions (Anglo-Saxon, Arabic, Caucasian, Celtic, Chinese, East African, Finnic, Frankish, Germanic, Hellenic, Japanese, Latin, Magyar, Norse, Persian, Polynesian, Slavic, South Asian, Turkic, West African) through culture-wide sound changes and a
character model trained on the changed names. Halflings get compound family names from homely
words. A tone (grim, gentle, whimsical, noble...) tilts each name's sounds toward it.
2. **Guarantees.** No given name or family name is a real name in namebank's data (every name from
the sources above), none is on a list of names language models overuse or a list of famous
fictional names, or within about one edit of either, and none contains an obscenity.
3. **Requests.** The same model wrote a request from each name's kind (elf, dwarf, human...), role,
tone and, for human cultures, the tradition it borrows from; a random share of details was left
out of each prompt. Requests for human characters always signal a fantasy setting, so they
don't read as real-name requests. By archetype: human-inspired (1,184), human (756), dwarf (447), elf (420), orc (296), fae (218), vampire (205), goblin (199), gnome (197), demon (196), halfling (186), dragon (175), giant (118), merfolk (110), lizardfolk (96), dark elf (70), eldritch (57).
### Cleanup
Requests that contained the answer, named another character, ran over several lines or (for
fantasy humans) gave no fantasy cue were dropped (2,075 rows).
## Fields
- `messages`: the request (`user`) and the answer (`assistant`, the name alone), ready for chat SFT.
- `domain`: `real` or `fantasy`. `name`: the answer again. `sex`: `M`, `F` or `X` (unisex, or sex
doesn't apply).
- Real names: `decade` (birth decade), `country` (ISO code, or a Wikidata QID for historical
states), `country_label`, `region` (UN subregion), `language`, `historical`.
- Fantasy names: `archetype` (elf, dwarf, human-inspired...), `kind` (what the request writer was
told), `flavor` (the real tradition a human culture borrows from), `setting`, `role`, `tone`,
`culture` (names sharing it come from one invented culture).
## Splits
`validation` holds about 5% of the rows, picked by a hash of the answer, so no name
appears in both splits.
## Use
Supervised fine-tuning of a name generator. Compute the loss on the assistant turn only: the answer
is a handful of tokens, and the requests were written by a small model.
## Limitations
- Wikidata covers notable people, who skew older, male and elite. Countries without official name
statistics inherit that skew.
- Requests come from a 3B model: phrasing repeats, and some are vaguer than the facts behind them.
- A real full name here is a sampled combination of real first names and surnames, not a record of
a real person; any match with a real person is coincidental.
- Fantasy names are generated, not curated: some are clumsy, and cultures modeled on real traditions
reflect the generator's sound changes rather than those languages.
- Spelling and romanization follow each source.
## License
CC BY-SA 4.0, because some of the name lists namebank draws on are share-alike (IBGE's 2010
census via brasil.io, Wiktionary, JMnedict). Per-source licenses, URLs and retrieval dates are in [SOURCES.md](SOURCES.md).