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metadata
license: other
license_name: proprietary-license-required
license_link: LICENSE
pretty_name: Usenet Corpus 1980–2013
size_categories:
  - 100B<n<1T
task_categories:
  - text-generation
  - text-classification
language:
  - en
  - pl
  - nl
  - es
  - fr
  - it
  - de
  - ru
  - ja
tags:
  - usenet
  - internet-history
  - forums
  - long-form-text
  - pre-web
  - conversational
extra_gated_prompt: >-
  This is a proprietary dataset. Access is granted for evaluation only and
  conveys no right to use, copy, or train on the data. Any use requires a
  separate written commercial license from OwnedByDanes LLC. See the LICENSE
  file. To request a license, contact todd@ownedbydanes.com.

Usenet Corpus 1980–2013

A large, cleaned corpus of Usenet posts spanning 1980–2013 — long-form, pre-web conversational text across the full newsgroup hierarchy. A thread- reconstructed companion (Usenet Corpus 1980–2013 — Threaded) adds conversation structure over identical content.

▶ Free preview — no gating. Browse a showcase sample of complete conversations at Usenet-Corpus-1980-2013-Full-Samples — no access request needed.

▶ License the full corpus. This dataset is available for commercial use — training, fine-tuning, evaluation, and retrieval. To discuss access and terms, contact todd@ownedbydanes.com.

  • Posts: 408,033,020
  • Tokens: 103,092,966,133 (103.09B, cl100k_base)
  • Newsgroups: 18,347
  • Distinct posts after de-duplication: 343,700,814 (15.77% of posts are cross-post copies)
  • Format: gzipped JSON Lines, one post per line, one file per newsgroup
  • Primary language: English (~95–99% per hierarchy; smaller Polish, Dutch, and other-language segments, chiefly within ALT)

Post counts are raw (a message cross-posted to k groups appears in k files). Cross-posting is measured; see De-duplication for the distinct figure.

As distributed: the published repository withholds 12 newsgroups (a documented ClamAV false positive — see Distribution & omissions below). The downloadable dataset contains 18,335 newsgroups, 405,794,692 posts, and 102.517B tokens. The figures and tables below describe the full processed corpus.

Contents by hierarchy

ALT is split into two equal-by-name halves for distribution (usenet-alt-part1, usenet-alt-part2), divided alphabetically at [fill: last group of part1, e.g. "alt.k…"]. Percentages are token share.

Hierarchy Newsgroups Posts Tokens Tokens (B) % of Corpus Avg Tok/Post Date Range Compressed Uncompressed Ratio
ALT-PART2 7,644 136,065,542 34,954,698,086 34.955 33.91% 256.9 1984–2013 49.18 GB 152.93 GB 3.11x
ALT-PART1 7,644 92,497,667 23,844,798,822 23.845 23.13% 257.8 1981–2013 32.62 GB 104.21 GB 3.19x
REC 919 77,237,482 16,501,957,075 16.502 16.01% 213.7 1984–2013 26.38 GB 78.07 GB 2.96x
COMP 1,205 49,973,522 10,274,541,738 10.275 9.97% 205.6 1980–2013 17.10 GB 50.55 GB 2.96x
SOC 341 22,387,270 8,220,160,115 8.220 7.97% 367.2 1980–2013 11.79 GB 34.86 GB 2.96x
SCI 237 11,996,904 3,305,179,761 3.305 3.21% 275.5 1986–2013 5.46 GB 16.07 GB 2.94x
MISC 242 10,867,041 2,706,808,695 2.707 2.63% 249.1 1986–2013 4.41 GB 13.30 GB 3.02x
NEWS 60 2,072,402 1,716,989,042 1.717 1.67% 828.5 1980–2013 2.04 GB 6.50 GB 3.19x
TALK 47 4,308,542 1,347,092,214 1.347 1.31% 312.7 1986–2013 1.88 GB 5.74 GB 3.06x
HUMANITIES 8 626,648 220,740,585 0.221 0.21% 352.3 1992–2013 374.27 MB 1.05 GB 2.79x
TOTAL 18,347 408,033,020 103,092,966,133 103.093 100.00% 252.7 1980–2013 151.24 GB 463.27 GB 3.06x

Languages

Content is predominantly English (~96.6% of posts). Language was detected automatically per post with fastText LID-176; figures are record counts on the raw (pre-de-duplication) corpus, not token shares. Automated detection on short, quoted, or code-switched Usenet text is error-prone, so treat these as approximate, especially the lower-count languages, which include some misclassification.

Languages with at least 100,000 posts:

Language Code Posts
English en 394,350,819
Polish pl 3,719,737
Dutch nl 2,596,453
Spanish es 2,124,609
French fr 1,669,450
Italian it 743,411
German de 638,250
Russian ru 366,240
Japanese ja 268,684
Indonesian id 218,168
Portuguese pt 205,489
Chinese zh 163,198
Romanian ro 112,149
Esperanto eo 109,382

Roughly 40 further languages appear in smaller volumes (each under 100,000 posts) and are not itemized here; those low-count labels are the least reliable.

Record schema

Each line is a JSON object:

Field Type Description
id string Stable per-post identifier (msg- + SHA-256 hash of the original Message-ID).
group string Newsgroup the post was archived under.
date string Original post date (RFC 2822). A small number of records carry malformed dates.
author string Author display name as posted. Email addresses are redacted.
subject string Subject line.
text string Post body.

Cleaning, safety, and provenance

Binary attachments and alt.binaries.* groups were removed; adult-content groups were excluded; author email addresses were redacted; and Message-IDs were replaced with salted hashes. Content is otherwise preserved as posted, including period spelling, formatting, and views.

Malware pass. The corpus was scanned with ClamAV in two stages: a per-post signature scan, then a whole-file scan with minimal-span localization for signatures spanning multiple posts (e.g. multi-part encoded binaries). Any content matching a ClamAV signature was removed. The pass is deliberately conservative: matches on quoted phishing emails or exploit code reproduced in discussion of a threat were removed along with genuine payloads, erring toward a corpus that passes the same scanner infrastructure downstream users run. All removals are logged. Removed content totals well under 0.1% of posts and is concentrated in security-, virus-, and warez-oriented groups. The distributed corpus passes a whole-file ClamAV scan with no detections.

Distribution & omissions. Twelve newsgroups are withheld from the published repository. Their historical content — security, hacking, and net-abuse discussion, plus a JavaScript programming group — matches an over-broad antivirus signature that produces a false positive on the archived text. The identical files scan clean under current ClamAV definitions (they matched only an older signature database), and were withheld so the distributed dataset passes automated security scanning without exception. The omitted groups (about 0.55% of posts): alt.games.tombraider, alt.games.mame, alt.hacker, alt.support.depression.medication, alt.quotations, comp.lang.javascript, comp.security.misc, rec.skydiving, rec.radio.amateur.equipment, rec.arts.comics.dc.universe, rec.music.rock-pop-r+b.1970s, news.admin.net-abuse.sightings.

De-duplication. Cross-posting was pervasive on Usenet: a message posted to several newsgroups is stored once per group and shares one identifier across them. Of 408,033,020 posts, 343,700,814 are distinct — 15.77% are cross-post copies. The copies are retained rather than removed, because the set of groups a message was posted to is itself signal; the shared id lets a user collapse them in a single pass if desired. De-duplication must be corpus-wide, not per-file or per-hierarchy: 13.08M identifiers appear in more than one hierarchy. Duplication is uneven by hierarchy (SOC ~18%, ALT ~15%, HUMANITIES ~1%), tracking where cross-posting was culturally heaviest. Token totals above are likewise raw and include cross-post copies.

Missing identifiers. About 2.36M posts (~0.6%) have no recoverable Message-ID (missing or unparseable at archival). These are excluded from de-duplication.

Intended use and licensing

This is a proprietary dataset owned by OwnedByDanes LLC. It is made available for evaluation of a potential commercial license only. Downloading or accessing the files conveys no right to use, copy, redistribute, or train on the data; any such use requires a separate written commercial license from OwnedByDanes LLC. Gated-access approval is not a license. See the LICENSE file for the full notice. To request a commercial license (including training/evaluation use for language models), contact todd@ownedbydanes.com.

Considerations

Usenet is unmoderated historical text. It contains offensive, biased, and factually wrong content, and reflects the demographics and norms of its era. It is a snapshot of how people wrote and argued online from 1980 to 2013, and should be treated as a primary historical source, not as vetted or representative of any group's views.

Citation

@dataset{usenet_corpus_1980_2013,
  title  = {Usenet Corpus 1980--2013},
  author = {OwnedByDanes},
  year   = {2026},
  note   = {Cleaned; commercially licensed},
  url    = {https://huggingface.co/datasets/OwnedByDanes/Usenet-Corpus-1980-2013-Full}
}