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This dataset contains public forum posts by real people. Usernames are pseudonymized and contact details are scrubbed, but the text is otherwise as written. By requesting access you agree to use it for research only, to not attempt to re-identify any author, and to honor removal requests.

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Nairaland Conversations

1,901,705 thread pages and 34,187,603 posts from Nairaland, the largest Nigerian discussion forum, with the thread structure kept intact: who posted, when, and who they were quoting. About 6.9 billion characters of Nigerian English, Nigerian Pidgin and code-switched conversation, the kind of text that is badly underrepresented in public training data.

thread pages 1,901,705
posts 34,187,603
characters (post text) 6,914,511,323
distinct (pseudonymous) authors 659,239
parquet shards 12 (6.4 GB, zstd)
built 2026-10-15

Loading

from datasets import load_dataset

ds = load_dataset("caleb-mnb/nairaland-conversations", split="train", streaming=True)
for page in ds.take(1):
    print(page["title"], page["board"])
    for post in page["posts"]:
        print(post["author_id"], post["posted_at"], post["text"][:80])

Structure

One row per thread page (a long thread spans several pages).

field type notes
id string hash of the canonical url
url string source page, kept for provenance and removal requests
thread_id int nairaland topic id, null for the few pages reached only via a post permalink
page int 0-based page of the thread
board string forum section (Politics, Romance, ...), parsed from the page title
title string thread title
lang string dominant language of the page, by characters
n_posts / n_chars int post count, total post text length
crawled_at string date the page was fetched
text string the whole page flattened as author_id: then the post, one block per post
posts list per post: index, author_id, posted_at, edited_at, lang, text, quotes

quotes holds what a post replied to: the quoted author's pseudonym, the nairaland post id that was quoted, and the quoted text. Quoted text is removed from the post's own text, so a post's words stand alone. Timestamps are local time as nairaland shows it (WAT, UTC+1); where the site omitted the year or date, it was filled in from the crawl date.

Languages

Tagged per post with GlotLID, on the first 400 characters. Posts under 20 characters are not tagged. GlotLID often confuses Nigerian Pidgin with other English-based creoles (Jamaican, Cameroonian, Krio), so those labels are folded into pcm_Latn, and predictions outside the languages you'd expect on a Nigerian forum, or below 0.3 confidence, are marked und. Short, code-switched text is hard for any language id model, so treat these as estimates, especially English vs Pidgin.

language posts share of text
English (eng_Latn) 21,858,755 94.35%
Nigerian Pidgin (pcm_Latn) 4,160,039 5.48%
Yoruba (yor_Latn) 27,786 0.06%
Igbo (ibo_Latn) 35,430 0.06%
Hausa (hau_Latn) 8,105 0.01%
Tiv (tiv_Latn) 14,631 0.01%
French (fra_Latn) 4,454 0.01%
Arabic (arb_Arab) 332 0.01%
Efik (efi_Latn) 2,854 0.00%
German (deu_Latn) 2,189 0.00%
Urhobo (urh_Latn) 3,036 0.00%

Boards (top 25 by pages)

board pages posts
Politics 358,613 7,435,138
Romance 163,448 3,619,213
Jobs/Vacancies 89,621 1,153,453
Education 83,019 1,380,590
Crime 80,934 1,679,986
Business 76,882 1,113,971
Family 68,657 1,535,579
Christianity Etc 65,480 1,222,104
Celebrities 61,375 1,193,354
Health 59,502 1,021,213
Autos 52,667 799,218
Sports 49,369 860,774
Nairaland General 46,262 502,218
Travel 45,761 1,027,805
Technology Market 43,481 678,107
Foreign Affairs 43,458 892,965
Phones 41,243 683,877
Properties 35,591 492,053
Career 35,298 554,192
Jokes Etc 35,075 508,996
Culture 30,436 596,426
Food 28,568 537,637
Literature 23,609 444,900
TV/Movies 19,935 394,796
Investment 19,556 252,917

Posts per year

year posts
2005 40,604
2006 139,078
2007 198,232
2008 332,907
2009 426,001
2010 406,337
2011 480,024
2012 881,833
2013 1,385,442
2014 1,118,923
2015 2,535,414
2016 2,344,741
2017 2,305,115
2018 2,106,199
2019 2,278,379
2020 2,982,911
2021 2,540,321
2022 2,760,426
2023 2,506,673
2024 2,183,770
2025 2,183,795
2026 1,444,483

Collection

Crawled with WebHarvester, an open source, resumable, distributed crawler built on Crawlee. The crawl was seeded at 15 discussion boards, stayed on the nairaland domain, and followed links to a depth of 4. It skipped login, posting, search, marketplace and advertising pages, and user profiles. Requests were throttled per domain and honored HTTP 429 backoff.

Cleaning and privacy

  • Only thread pages are included. Profile pages, login pages and per-user post listings were removed (2,986 pages skipped as empty or unusable).
  • 1,615,150 duplicate pages were removed (mostly post permalinks that resolve to a thread page already in the set).
  • Usernames are replaced with stable pseudonyms (u_ plus 12 hex characters, a keyed hash). The same user has the same id across the dataset, so conversations and reply chains stay intact, but the key is not published. Every @handle in post text, and bare references to usernames on the same page, are replaced with the same keyed pseudonyms (2,971,047 replacements), so a user mentioned on another page still maps to their one id.
  • Email addresses (417,241), phone numbers (1,271,990), BlackBerry Messenger PINs (30,061) and 10 to 11 digit numbers such as bank account numbers (91,478) were replaced with [EMAIL], [PHONE], [PIN] and [NUMBER].
  • Links to social media profiles (Facebook, Twitter/X, Instagram, TikTok, LinkedIn, Telegram, WhatsApp) were replaced with [SOCIAL] (125,873).
  • Leftover forum markup ([quote], [img] and similar tags, 1,835,549 of them) was stripped, keeping the text between the tags.

This is not perfect anonymization. People mention real names, places and life details in their own posts, and a determined reader could link a pseudonym to a public profile by searching for a post's text. If you find content about yourself that you want removed, open a discussion on this page with the url and it will be dropped from the next version.

Limitations and bias

  • It reflects who posts on Nairaland: mostly urban, internet-connected, and more male than the general population. Political and religious threads are heated, and the text includes insults, slurs and misinformation as written.
  • Depth-limited crawl, so recent threads and the first pages of boards are overrepresented relative to the forum's full archive.
  • Images, embedded media and formatting are not included. Posts that were only an image appear with empty text.
  • The quote graph points at nairaland post ids, but posts in this dataset don't carry their own id, so a quote can be matched to its source by text and author, not by id.

License

The compilation (the selection, cleaning, pseudonymization and structure) is released under CC BY-NC 4.0. The posts themselves remain the property of their authors, and this license grants no rights to them beyond what the access terms above allow: non-commercial research, with no attempt to re-identify anyone. Nairaland's own terms of service also apply to the original content.

Citation

@misc{olusola2026nairaland,
  title  = {Nairaland Conversations: a Nigerian forum corpus with thread structure},
  author = {Olusola, Caleb},
  year   = {2026},
  url    = {https://huggingface.co/datasets/caleb-mnb/nairaland-conversations}
}
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