Datasets:

ucrelnlp
/

wikipedia-ga-fa-ids

page_id int64 36 909k	page_title stringlengths 3 40	ga bool 2 classes	fa bool 2 classes
90,373	Angkor Wat	false	true
195,087	Are You Dead Yet?	false	true
45,943	Casper & Mandrilaftalen	false	true
37,836	Frédéric Chopin	false	true
639,225	Eurovision Song Contest 2014	false	true
194,582	Follow the Reaper	false	true
196,215	Hate Crew Deathroll	false	true
194,042	Hatebreeder	false	true
100,685	IC4	false	true
649,699	IC4-sagen	false	true
79,587	Islands Brygge	false	true
5,900	Jorden	false	true
99	København	false	true
177,104	Middelaldercentret	false	true
159,340	Nordisk religion	false	true
422,679	The Final Cut (album)	false	true
241,425	Mary Wollstonecraft	false	true
130	Norge	true	false
167	Sverige	true	false
186	Tyskland	true	false
763	Næstved	true	false
840	Solen	true	false
901	Østrig	true	false
976	Nordisk mytologi	true	false
1,310	Chile	true	false
1,864	USA	true	false
1,967	Færøerne	true	false
2,308	Alzheimers sygdom	true	false
2,672	Finland	true	false
3,093	Ayatollah	true	false
3,435	Israel	true	false
3,547	Falklandskrigen	true	false
4,518	DNA	true	false
5,320	Georges Simenon	true	false
5,843	Island	true	false
6,822	Månen	true	false
7,426	Prag	true	false
8,754	Terrorangrebet den 11. september 2001	true	false
9,083	Schweiz	true	false
11,169	Vikinger	true	false
11,323	Wien	true	false
11,348	Winston Churchill	true	false
12,150	Træ (organisme)	true	false
13,001	London	true	false
13,177	Bibelen	true	false
13,212	Angrebet på Pearl Harbor	true	false
14,215	Dansk Vestindien	true	false
14,689	Saudi-Arabien	true	false
15,143	Romersk religion	true	false
17,099	Riga	true	false
17,120	Amsterdam	true	false
17,752	Ludwig van Beethoven	true	false
19,074	Tower of London	true	false
22,547	Holmens Kirke	true	false
26,446	Heavy metal	true	false
28,309	Nordisk kosmologi	true	false
28,468	Vilhelm Erobreren	true	false
28,862	Grover Cleveland	true	false
28,868	Calvin Coolidge	true	false
29,249	Albert Speer	true	false
30,317	Manchester United F.C.	true	false
32,760	Ove Sprogøe	true	false
36,198	Første Mosebog	true	false
36,706	De lange knives nat	true	false
37,287	Operation Barbarossa	true	false
37,699	Franz Schubert	true	false
37,940	Bedřich Smetana	true	false
38,085	Felix Mendelssohn	true	false
45,033	Clint Eastwood	true	false
45,741	Slaget ved Gettysburg	true	false
46,541	Mitokondrie	true	false
46,860	Rødlos	true	false
47,075	Hercule Poirot	true	false
48,818	Dublin	true	false
49,493	Megadeth	true	false
53,123	Nykøbing Falster	true	false
53,523	Shu-bi-dua	true	false
57,557	Ubuntu	true	false
58,967	Tchad	true	false
60,201	Opeth	true	false
60,823	John Churchill, 1. hertug af Marlborough	true	false
63,033	Slaget om Guadalcanal	true	false
76,505	Frederik Magle	true	false
77,478	Vor Frelsers Kirke (København)	true	false
77,499	Slayer	true	false
77,609	Københavns historie	true	false
78,266	Københavns brand 1728	true	false
78,275	Brøndby Stadion	true	false
80,212	Baseball	true	false
80,722	S-bus	true	false
82,469	Black metal	true	false
82,925	Satyricon (band)	true	false
83,153	Kate Bush	true	false
84,655	Danmarks forhistorie	true	false
84,878	Henry Dunant	true	false
86,349	Lost	true	false
87,884	Britiske Imperium	true	false
90,724	Vaduz	true	false
91,051	Judas Priest	true	false
91,400	The Kinks	true	false

End of preview. Expand in Data Studio

Wikipedia Good and Featured Articles

Contains the Wikipedia Article IDs and page titles for Good and Featured articles on Wikipedia for a given timestamped data dump, whereby the data was extracted from Wikipedia/Wikimedia SQL table dumps. This dataset covers 9 Language Wikipedia sites. For more information on how the dataset was generated see https://github.com/UCREL/wikipedia-ga-fa-extraction.

The data is specific to a given data dump timestamp, the main tag of the repository relates to the most up to date timestamp that has been tagged (versioned). Each timestamp of data that is uploaded will also be uploaded to it's Git tagged specific timestamp (version). This upload relates to timestamp: 2025-12-01

Curated by: University Centre for Computer Corpus Research on Language (UCREL) group at Lancaster University
Multi-lingual
Repository: https://github.com/UCREL/wikipedia-ga-fa-extraction

Uses

It can be used to filter a Wikipedia dataset to contain only Good or Featured Articles for a given language.

Dataset Structure

Each JSONL line contains the following information for each article, each line is unique, a page_id value only occurs once in the file, and each article has either ga or fa as True;

page_id - The unique per Wikipedia language site article ID. (INT).
page_title - The 255 byte text string of the article title. This is a string but it can be truncated if the original title was longer than 255 bytes, of which a character can be up to 4 bytes. (STRING).
ga - False if the article is not a Good Article (GA), otherwise True. (BOOL).
fa - False if the article is not a Featured Article (FA), otherwise True. (BOOL).

Example of a JSONL file;

{"page_id": 130, "page_title": "Norge", "ga": true, "fa": false}
{"page_id": 167, "page_title": "Sverige", "ga": true, "fa": false}

Dataset Statistics

The table below shows per language the number of entries/articles that are either Good or Featured (Total), Good, or Featured:

Language	Code	Total	GA	FA
Chinese	zh	4,367	3,339	1,028
Danish	da	187	170	17
Dutch	nl	380	0	380
English	en	49,845	43,023	6,822
Finnish	fi	869	516	353
Italian	it	1,162	573	589
Korean	ko	384	240	144
Portuguese	pt	3,488	1,955	1,533
Spanish	es	4,710	3,368	1,342

License

This dataset contains text from Wikipedia, licensed under Creative Commons Attribution-ShareAlike 4.0 (CC BY-SA 4.0) and also available under GFDL. See Wikipedia’s licensing and Terms of Use: https://dumps.wikimedia.org/legal.html

We release this data under the same license; Creative Commons Attribution-ShareAlike 4.0 (CC BY-SA 4.0) and also available under GFDL.

Dataset Card Authors

UCREL (ucrel@lancaster.ac.uk)
Andrew Moore / apmoore1 (a.p.moore@lancaster.ac.uk / andrew.p.moore94@gmail.com)
Paul Rayson (p.rayson@lancaster.ac.uk)

Dataset Card Contact

UCREL (ucrel@lancaster.ac.uk)
Andrew Moore / apmoore1 (a.p.moore@lancaster.ac.uk / andrew.p.moore94@gmail.com)
Paul Rayson (p.rayson@lancaster.ac.uk)

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