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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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