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Datasets:
ks46
/
usernames

Tasks:
Text Generation
Modalities:
Tabular
Text
Formats:
parquet
Size:
100M - 1B
Tags:
usernames
names
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
1
usernames / README.md
ks46's picture
ks46
corpus: 149,142,110 names
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metadata 
license: other
license_name: mixed-source
license_details: each source keeps its own terms; see the table
pretty_name: usernames
size_categories:
  - 100M<n<1B
task_categories:
  - text-generation
tags:
  - usernames
  - names
configs:
  - config_name: corpus
    default: true
    data_files:
      - split: train
        path: prep/names.parquet
  - config_name: xato
    data_files:
      - split: train
        path: sources/xato.parquet
  - config_name: bsky
    data_files:
      - split: train
        path: sources/bsky.parquet
  - config_name: stack
    data_files:
      - split: train
        path: sources/stack.parquet
  - config_name: hn
    data_files:
      - split: train
        path: sources/hn.parquet
  - config_name: reddit
    data_files:
      - split: train
        path: sources/reddit.parquet
  - config_name: urls
    data_files:
      - split: train
        path: sources/urls.parquet
  - config_name: roblox
    data_files:
      - split: train
        path: sources/roblox.parquet
  - config_name: crates
    data_files:
      - split: train
        path: sources/crates.parquet
  - config_name: kaggle
    data_files:
      - split: train
        path: sources/kaggle.parquet
  - config_name: gharchive
    data_files:
      - split: train
        path: sources/gharchive.parquet
  - config_name: codeforces
    data_files:
      - split: train
        path: sources/codeforces.parquet
  - config_name: lichess
    data_files:
      - split: train
        path: sources/lichess.parquet
  - config_name: jeanphorn
    data_files:
      - split: train
        path: sources/jeanphorn.parquet
  - config_name: so
    data_files:
      - split: train
        path: sources/so.parquet
  - config_name: se
    data_files:
      - split: train
        path: sources/se.parquet
  - config_name: osm
    data_files:
      - split: train
        path: sources/osm.parquet
  - config_name: enwiki
    data_files:
      - split: train
        path: sources/enwiki.parquet
  - config_name: ssa
    data_files:
      - split: train
        path: sources/ssa.parquet
  - config_name: wikis
    data_files:
      - split: train
        path: sources/wikis.parquet
  - config_name: sentiment140
    data_files:
      - split: train
        path: sources/sentiment140.parquet
  - config_name: urls_full
    data_files:
      - split: train
        path: sources/urls_full.parquet
  - config_name: atlas
    data_files:
      - split: train
        path: sources/atlas.parquet
  - config_name: labels-judge-generic3-1m
    data_files:
      - split: train
        path: labels/judge-generic3-1m.parquet
  - config_name: labels-judge-generic3-targeted-864k
    data_files:
      - split: train
        path: labels/judge-generic3-targeted-864k.parquet
  - config_name: labels-judge-samples-2026-09-19
    data_files:
      - split: train
        path: labels/judge-samples-2026-09-19.parquet

usernames

149,142,110 unique login-style usernames (1,713 MB of bytes) collected from public sources, filtered to [A-Za-z0-9._-]{3,64} with case kept, deduplicated exactly, and split by xxh3_64(name) % 64 == 0 into 2,328,816 held-out and 146,813,294 training names.

Files

  • prep/names.parquet: every kept name with src (index of the source that first mentioned it, in the table order below), h (xxh3_64 of the name) and heldout; sorted by h.
  • prep/train.bin, prep/heldout.bin: the same names in the same order, each followed by a zero byte (<eos>), ready to memory-map for byte-level training.
  • prep/card.json: per-source counts, overlap between sources, length histogram, most frequent shapes.
  • sources/<id>.parquet: the names extracted from each source before cross-source dedup, one name column, sorted by name.
  • prep/names.parquet: the whole corpus, sorted by name: name, source (the owning source), heldout.

Curation

The corpus is curated: training.curate scores every name with a classifier fine-tuned from the teacher model on the judge labels below (expected quality 1–5, expected offensiveness 0–4, P(offensive ≥ 3)), and training.prep --curated keeps each name with probability (quality ramp 2.5 → 3.5) × (offensiveness flat to 0.1, ramp to 0 at 1.0), zero when P(offensive ≥ 3) > 0.2, decided by a hash of the name. Dropped 47,979,317 names: 27,418,319 at the quality floor, 3,718,801 at the offensiveness ceiling, 16,962,271 by the ramps' draw.

Labels

  • labels/<set>.parquet: names scored by an LLM judge (training.judge --label): q is signup-form quality 1 (keyboard mash, ids) to 5 (a name a person clearly chose), o is offensiveness 0 (fine), 1 (edgy), 2 (crude), 3 (explicit or harassing), 4 (hateful or violent); a hash-strided sample of the corpus named after it. These train the curation classifier (training.curate).

Sources

id what raw kept
xato SecLists xato-net-10-million-usernames.txt, frequency-sorted 8,117,692 6,317,784
bsky every Bluesky account's handle, first label, from plc.directory 44,847,753 34,729,153
stack GitHub usernames keyed in bigcode/the-stack-username-to-repo 5,662,743 4,849,770
hn Hacker News by from OpenPipe/hacker-news 617,993 484,921
reddit Reddit comment authors, author column read over HTTP 13,930,423 10,772,830
urls account segments of profile URLs in ks46/urls-sampled shards 471,414 390,827
roblox Roblox usernames labelled normal 21,771 16,829
crates crates.io users' GitHub logins from the database dump 61,307 50,995
kaggle Meta Kaggle UserName; needs the landed Users.csv 30,213,080 26,729,645
gharchive GH Archive hourly events since 2026-01-01: actor logins and repo owners 17,924,156 15,134,080
codeforces codeforces.com user.ratedList, every rated handle 710,392 598,539
lichess one month of Lichess rated games: White and Black players 1,737,598 1,507,796
jeanphorn jeanphorn/wordlist usernames.txt 14,647 12,361
so Stack Overflow Users.xml display names 3,814,430 2,814,763
se every other Stack Exchange site's Users.xml display names 807,427 652,456
osm OpenStreetMap changeset user names 1,298,150 1,088,543
enwiki English Wikipedia contributor usernames, last revision per page 1,904,623 1,672,396
ssa US Social Security first names 1880-2018, yob*.txt 42,329 41,950
wikis contributor usernames of 15 large non-English wikis and Commons 1,127,276 896,302
sentiment140 Twitter handles in the Sentiment140 tweets 511,656 452,865
urls_full profile handles of 980 hosts from the sorted ks46/urls dataset 41,828,518 23,180,585
atlas profile handles of the same hosts from ks48/url-atlas's Common Crawl configs, newest first (partial: still being extracted) 21,456,049 16,746,720

raw is the count after the filter within the source; kept is after cross-source dedup, where the first source in this order owns a name. Stack Exchange display names of the form user1234567 are dropped.