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Dataset Card for Tajik Wikipedia Corpus

Dataset Details

Dataset Description

The Tajik Wikipedia Corpus is a collection of 79,985 Wikipedia articles in the Tajik language, totaling approximately 101.6 million characters and 15.3 million words. The data has been extracted from the Tajik Wikipedia dump and processed to ensure clean, well‑structured text suitable for NLP applications. The corpus includes articles with titles, categories, and metadata.

  • Curated by: Arabov Mullosharaf Kurbonovich
  • Language(s) (NLP): Tajik (tg), Cyrillic script
  • License: cc-by-sa-4.0 – see Licensing & Legal Notice below.

Licensing & Legal Notice

This dataset is derived from Tajik Wikipedia (tg.wikipedia.org), which is licensed under the Creative Commons Attribution‑ShareAlike 4.0 International License (CC BY‑SA 4.0). As a derivative work, this dataset is also released under the same license.

  • Attribution must be given to the original Wikipedia contributors and to this dataset (see Citation below).
  • ShareAlike – any derivative works must be distributed under the same license.
  • Users are free to share and adapt the material for any purpose, including commercially, provided they comply with the license terms.
  • No additional legal restrictions are imposed by the dataset curator beyond those required by the CC BY‑SA 4.0 license.

Dataset Sources

Uses

Direct Use

The dataset is ideal for:

  • Language modeling and pre‑training Transformer models for Tajik
  • Text classification (category prediction, topic modeling)
  • Named entity recognition (Wikipedia contains rich named entities)
  • Information retrieval and semantic search
  • Cross‑lingual learning (with Persian, Russian, or other languages)
  • Lexical and linguistic studies of Tajik

Out-of-Scope Use

The dataset should not be used for:

  • Temporal analysis (articles lack publication dates)
  • Identifying individuals beyond public figures mentioned in Wikipedia
  • Tasks requiring real‑time updates (this is a static snapshot)

Dataset Structure

Data Fields

Field Type Coverage Description
title string 100% Wikipedia article title
text string 100% Full article content (main text)
category string 90.9% Wikipedia categories (comma‑separated)
source string 100% Always tgwiki
date string 0% Not available
url string 100% Original Wikipedia URL

Data Splits

Split Documents Size (approx) Description
full 79,985 ~100 MB Complete Wikipedia corpus
sample 1,000 ~1.3 MB Random sample for testing/development

Category Distribution (Top 20)

Category (Tajik) Category (English) Count Percentage
Фурудгоҳҳо аз рӯи алифбо Airports by alphabet 9,714 12.14%
Ниммуҳофизатгарони футбол Football defenders 7,650 9.56%
Муҳофизатгарони футбол Football defenders 6,058 7.57%
Маҳалҳои аҳолинишин аз рӯи алифбо Populated places by alphabet 5,307 6.63%
Ҳуҷумкунандагони футбол Football forwards 5,099 6.37%
Футболбозони Бразилия Brazilian footballers 4,178 5.22%
Футболбозони Испания Spanish footballers 3,859 4.82%
Деҳаҳои Тоҷикистон Villages of Tajikistan 3,821 4.78%
Фурудгоҳҳои Иёлоти Муттаҳидаи Амрико US airports 3,402 4.25%
Футболбозони Аргентина Argentine footballers 3,090 3.86%
Футболбозони Русия Russian footballers 2,558 3.20%
Ҳавогардҳо Airlines 2,544 3.18%
Мақолоти ҳавогардҳо Airline articles 2,354 2.94%
Мураббиёни футбол Football coaches 1,749 2.19%
Дарвозабонони футбол Football goalkeepers 1,653 2.07%
Фурудгоҳҳои Канада Canadian airports 1,422 1.78%
Маҳаллаҳои аҳолинишин аз рӯи алифбо Localities by alphabet 1,267 1.58%
Омӯзгорони Тоҷикистон Tajikistan educators 1,159 1.45%
Олимони Тоҷикистон Tajikistan scientists 1,087 1.36%
Қатъномаҳои Шӯрои Амният UN Security Council resolutions 1,049 1.31%

Dataset Creation

Curation Rationale

The dataset was created to provide a clean, structured version of the Tajik Wikipedia for NLP tasks. Wikipedia is one of the largest open sources of text in Tajik, and this processed version removes markup and noise while preserving meaningful content and metadata.

Source Data

Data Collection and Processing

Data was obtained from the official Tajik Wikipedia dump (tgwiki) in Cyrillic script. The processing pipeline included:

  1. Extraction of articles from the Wikipedia XML dump.
  2. Cleaning of HTML tags, templates, and formatting artifacts.
  3. Normalization of Unicode and whitespace.
  4. Category extraction from Wikipedia's category system.
  5. Deduplication of duplicate articles.
  6. Quality filtering (removal of stubs and very short articles).

Who are the source data producers?

The original content was created by the Tajik Wikipedia community — thousands of volunteer contributors. The dataset curator only performed cleaning and structuring; the intellectual content remains the work of the Wikipedia contributors, licensed under CC BY‑SA 4.0.

Annotations

No additional manual annotations were added. The category field was extracted directly from Wikipedia's category system. No manual labeling was performed.

Personal and Sensitive Information

Wikipedia articles are publicly available and may contain information about living persons. The dataset does not include any private information beyond what is already public on Wikipedia. Users should be aware of Wikipedia's policies regarding biographies of living people.

Bias, Risks, and Limitations

  • Content bias: Strong representation of sports (especially football) and geography articles due to Wikipedia's content creation patterns.
  • Geographic bias: Tajikistan and Central Asian content is well‑represented; global coverage is less balanced.
  • Gender bias: Like many Wikipedias, there may be gender imbalances in biographical articles.
  • Temporal bias: Articles reflect the state of Wikipedia at the time of extraction (no update history).
  • Missing dates: No publication or last‑updated dates are available.

Recommendations

  • Use the category field for topic classification and filtering.
  • Consider the sports bias when training general‑purpose models.
  • For historical analysis, use the full Wikipedia revision history (not included here).
  • For gender‑balanced studies, consider subsampling or using additional sources.

Citation

BibTeX (dataset):

@dataset{arabov_tajik_wiki_corpus_2026,
  author = {Arabov, Mullosharaf Kurbonovich},
  title = {Tajik Wikipedia Corpus},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/TajikNLPWorld/tajik-wiki-corpus}
}

APA (dataset): Arabov, M. K. (2026). Tajik Wikipedia Corpus [Data set]. Hugging Face. https://huggingface.co/datasets/TajikNLPWorld/tajik-wiki-corpus

Glossary

  • Wikipedia dump – a snapshot of all Wikipedia articles at a specific point in time.
  • Category – Wikipedia's classification system for organizing articles.
  • Cyrillic script – the writing system used for Tajik in Tajikistan.
  • Type‑token ratio – a measure of vocabulary diversity (unique words ÷ total words).

More Information

For questions, contributions, or feedback, please open an issue on the Hugging Face repository.

Dataset Card Authors

  • Arabov Mullosharaf Kurbonovich (TajikNLPWorld)

Dataset Card Contact

For questions, takedown requests, or collaboration, please open an issue on the Hugging Face repository:
https://huggingface.co/datasets/TajikNLPWorld/tajik-wiki-corpus/discussions
📧 Direct email: cool.araby@gmail.com

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