Wiki
stringlengths
8
37
Metric
stringclasses
2 values
Sub-Metric
stringclasses
2 values
Editors
stringclasses
2 values
Values
int64
0
32.8M
Retrieval-Date
stringclasses
1 value
Abkhaz (ab)
Pages
Articles
Bots
0
2023-10-01
Abkhaz (ab)
Pages
Articles
Humans
6,142
2023-10-01
Abkhaz (ab)
Pages
Non-Articles
Bots
271
2023-10-01
Abkhaz (ab)
Pages
Non-Articles
Humans
15,425
2023-10-01
Abkhaz (ab)
Edits
Articles
Bots
47
2023-10-01
Abkhaz (ab)
Edits
Articles
Humans
145
2023-10-01
Abkhaz (ab)
Edits
Non-Articles
Bots
1
2023-10-01
Abkhaz (ab)
Edits
Non-Articles
Humans
1,380
2023-10-01
Acehnese (ace)
Pages
Articles
Bots
0
2023-10-01
Acehnese (ace)
Pages
Articles
Humans
13,001
2023-10-01
Acehnese (ace)
Pages
Non-Articles
Bots
201
2023-10-01
Acehnese (ace)
Pages
Non-Articles
Humans
12,022
2023-10-01
Acehnese (ace)
Edits
Articles
Bots
31
2023-10-01
Acehnese (ace)
Edits
Articles
Humans
531
2023-10-01
Acehnese (ace)
Edits
Non-Articles
Bots
13
2023-10-01
Acehnese (ace)
Edits
Non-Articles
Humans
216
2023-10-01
Adyghe (ady)
Pages
Articles
Bots
0
2023-10-01
Adyghe (ady)
Pages
Articles
Humans
703
2023-10-01
Adyghe (ady)
Pages
Non-Articles
Bots
4
2023-10-01
Adyghe (ady)
Pages
Non-Articles
Humans
2,710
2023-10-01
Adyghe (ady)
Edits
Articles
Bots
12
2023-10-01
Adyghe (ady)
Edits
Articles
Humans
249
2023-10-01
Adyghe (ady)
Edits
Non-Articles
Bots
0
2023-10-01
Adyghe (ady)
Edits
Non-Articles
Humans
52
2023-10-01
Afrikaans (af)
Pages
Articles
Bots
34,558
2023-10-01
Afrikaans (af)
Pages
Articles
Humans
76,990
2023-10-01
Afrikaans (af)
Pages
Non-Articles
Bots
180,447
2023-10-01
Afrikaans (af)
Pages
Non-Articles
Humans
57,431
2023-10-01
Afrikaans (af)
Edits
Articles
Bots
13
2023-10-01
Afrikaans (af)
Edits
Articles
Humans
7,493
2023-10-01
Afrikaans (af)
Edits
Non-Articles
Bots
75
2023-10-01
Afrikaans (af)
Edits
Non-Articles
Humans
1,290
2023-10-01
Akan (ak)
Pages
Articles
Bots
0
2023-10-01
Akan (ak)
Pages
Articles
Humans
0
2023-10-01
Akan (ak)
Pages
Non-Articles
Bots
0
2023-10-01
Akan (ak)
Pages
Non-Articles
Humans
0
2023-10-01
Akan (ak)
Edits
Articles
Bots
0
2023-10-01
Akan (ak)
Edits
Articles
Humans
0
2023-10-01
Akan (ak)
Edits
Non-Articles
Bots
0
2023-10-01
Akan (ak)
Edits
Non-Articles
Humans
0
2023-10-01
Albanian (sq)
Pages
Articles
Bots
9,093
2023-10-01
Albanian (sq)
Pages
Articles
Humans
95,408
2023-10-01
Albanian (sq)
Pages
Non-Articles
Bots
62,095
2023-10-01
Albanian (sq)
Pages
Non-Articles
Humans
76,557
2023-10-01
Albanian (sq)
Edits
Articles
Bots
4,825
2023-10-01
Albanian (sq)
Edits
Articles
Humans
5,632
2023-10-01
Albanian (sq)
Edits
Non-Articles
Bots
683
2023-10-01
Albanian (sq)
Edits
Non-Articles
Humans
1,238
2023-10-01
Alemannic German (als)
Pages
Articles
Bots
1,131
2023-10-01
Alemannic German (als)
Pages
Articles
Humans
28,860
2023-10-01
Alemannic German (als)
Pages
Non-Articles
Bots
9,935
2023-10-01
Alemannic German (als)
Pages
Non-Articles
Humans
24,411
2023-10-01
Alemannic German (als)
Edits
Articles
Bots
1
2023-10-01
Alemannic German (als)
Edits
Articles
Humans
926
2023-10-01
Alemannic German (als)
Edits
Non-Articles
Bots
30
2023-10-01
Alemannic German (als)
Edits
Non-Articles
Humans
341
2023-10-01
Amharic (am)
Pages
Articles
Bots
1,988
2023-10-01
Amharic (am)
Pages
Articles
Humans
13,780
2023-10-01
Amharic (am)
Pages
Non-Articles
Bots
14,928
2023-10-01
Amharic (am)
Pages
Non-Articles
Humans
7,947
2023-10-01
Amharic (am)
Edits
Articles
Bots
13
2023-10-01
Amharic (am)
Edits
Articles
Humans
211
2023-10-01
Amharic (am)
Edits
Non-Articles
Bots
5
2023-10-01
Amharic (am)
Edits
Non-Articles
Humans
25
2023-10-01
Amis (ami)
Pages
Articles
Bots
0
2023-10-01
Amis (ami)
Pages
Articles
Humans
1,664
2023-10-01
Amis (ami)
Pages
Non-Articles
Bots
2
2023-10-01
Amis (ami)
Pages
Non-Articles
Humans
162
2023-10-01
Amis (ami)
Edits
Articles
Bots
6
2023-10-01
Amis (ami)
Edits
Articles
Humans
194
2023-10-01
Amis (ami)
Edits
Non-Articles
Bots
0
2023-10-01
Amis (ami)
Edits
Non-Articles
Humans
0
2023-10-01
Angika (anp)
Pages
Articles
Bots
0
2023-10-01
Angika (anp)
Pages
Articles
Humans
0
2023-10-01
Angika (anp)
Pages
Non-Articles
Bots
0
2023-10-01
Angika (anp)
Pages
Non-Articles
Humans
0
2023-10-01
Angika (anp)
Edits
Articles
Bots
0
2023-10-01
Angika (anp)
Edits
Articles
Humans
0
2023-10-01
Angika (anp)
Edits
Non-Articles
Bots
0
2023-10-01
Angika (anp)
Edits
Non-Articles
Humans
0
2023-10-01
Arabic (ar)
Pages
Articles
Bots
480,276
2023-10-01
Arabic (ar)
Pages
Articles
Humans
738,932
2023-10-01
Arabic (ar)
Pages
Non-Articles
Bots
4,167,617
2023-10-01
Arabic (ar)
Pages
Non-Articles
Humans
1,741,210
2023-10-01
Arabic (ar)
Edits
Articles
Bots
468,495
2023-10-01
Arabic (ar)
Edits
Articles
Humans
74,301
2023-10-01
Arabic (ar)
Edits
Non-Articles
Bots
157,628
2023-10-01
Arabic (ar)
Edits
Non-Articles
Humans
30,722
2023-10-01
Aragonese (an)
Pages
Articles
Bots
4,233
2023-10-01
Aragonese (an)
Pages
Articles
Humans
39,926
2023-10-01
Aragonese (an)
Pages
Non-Articles
Bots
3,138
2023-10-01
Aragonese (an)
Pages
Non-Articles
Humans
55,632
2023-10-01
Aragonese (an)
Edits
Articles
Bots
3,320
2023-10-01
Aragonese (an)
Edits
Articles
Humans
8,000
2023-10-01
Aragonese (an)
Edits
Non-Articles
Bots
54
2023-10-01
Aragonese (an)
Edits
Non-Articles
Humans
2,169
2023-10-01
Aramaic (Syriac) (arc)
Pages
Articles
Bots
0
2023-10-01
Aramaic (Syriac) (arc)
Pages
Articles
Humans
1,941
2023-10-01
Aramaic (Syriac) (arc)
Pages
Non-Articles
Bots
275
2023-10-01
Aramaic (Syriac) (arc)
Pages
Non-Articles
Humans
2,245
2023-10-01

Dataset Card for "Wikipedia-Corpora-Report"

This dataset is used as a metadata database for the online WIKIPEDIA CORPORA META REPORT dashboard that illustrates how humans and bots generate or edit Wikipedia editions and provides metrics for “pages” and “edits” for all Wikipedia editions (320 languages). The “pages” metric counts articles and non-articles, while the “edits” metric tallies edits on articles and non-articles, all categorized by contributor type: humans or bots. The metadata is downloaded from Wikimedia Statistics, then processed and uploaded to the Hugging Face Hub as a dataset.

For more details about the dataset, please read and cite our paper:

@inproceedings{alshahrani-etal-2023-performance,
    title = "{Performance Implications of Using Unrepresentative Corpora in {A}rabic Natural Language Processing}",
    author = "Alshahrani, Saied  and Alshahrani, Norah  and Dey, Soumyabrata  and Matthews, Jeanna",
    booktitle = "Proceedings of the The First Arabic Natural Language Processing Conference (ArabicNLP 2023)",
    month = December,
    year = "2023",
    address = "Singapore (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.arabicnlp-1.19",
    doi = "10.18653/v1/2023.arabicnlp-1.19",
    pages = "218--231",
    abstract = "Wikipedia articles are a widely used source of training data for Natural Language Processing (NLP) research, particularly as corpora for low-resource languages like Arabic. However, it is essential to understand the extent to which these corpora reflect the representative contributions of native speakers, especially when many entries in a given language are directly translated from other languages or automatically generated through automated mechanisms. In this paper, we study the performance implications of using inorganic corpora that are not representative of native speakers and are generated through automated techniques such as bot generation or automated template-based translation. The case of the Arabic Wikipedia editions gives a unique case study of this since the Moroccan Arabic Wikipedia edition (ARY) is small but representative, the Egyptian Arabic Wikipedia edition (ARZ) is large but unrepresentative, and the Modern Standard Arabic Wikipedia edition (AR) is both large and more representative. We intrinsically evaluate the performance of two main NLP upstream tasks, namely word representation and language modeling, using word analogy evaluations and fill-mask evaluations using our two newly created datasets: Arab States Analogy Dataset (ASAD) and Masked Arab States Dataset (MASD). We demonstrate that for good NLP performance, we need both large and organic corpora; neither alone is sufficient. We show that producing large corpora through automated means can be a counter-productive, producing models that both perform worse and lack cultural richness and meaningful representation of the Arabic language and its native speakers.",
}
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