license: cc0-1.0
tags:
- kyrgyz
- common-crawl
- web-scraping
- text-corpus
- low-resource-languages
- nlp
- turkic-languages
language:
- ky
task_categories:
- text-generation
- fill-mask
- text-classification
size_categories:
- 100M<n<1B
pretty_name: Kyrgyz CommonCrawl Text Corpus
Kyrgyz CommonCrawl Dataset
A 271 MB text corpus of Kyrgyz language data extracted from CommonCrawl — one of the largest openly available Kyrgyz text collections for NLP research.
Dataset Description
This dataset contains Kyrgyz-language web text scraped from CommonCrawl archives, filtered by the Kyrgyz language tag (ky). The data covers a wide range of domains including news, blogs, government sites, educational content, and general web pages.
Why this matters: Kyrgyz is a low-resource Turkic language spoken by ~7 million people. High-quality text corpora are essential for training language models, yet very few large-scale Kyrgyz datasets exist publicly.
Dataset Summary
| Property | Value |
|---|---|
| Total size | 271 MB |
| Language | Kyrgyz (ky) |
| Format | CSV |
| Source | CommonCrawl (filtered by ky language tag) |
| Files | 31 CSV files |
| License | CC0 (public domain) |
File Structure
| File | Size | Description |
|---|---|---|
data_MN.csv |
29.6 MB | Large text segment |
data.csv |
9.98 MB | General web text |
data_bilesinbi.csv |
7.11 MB | Domain-specific data |
Merged file2.csv |
1.66 MB | Merged text segments |
data_f.csv |
703 kB | Filtered subset |
8april_final.csv |
634 kB | Cleaned snapshot |
data.numbers |
581 kB | Statistics/metadata |
bia.csv |
37.6 kB | Small subset |
data_ecoproduct.csv |
19.9 kB | Eco/product domain |
| ... | ... | Additional CSV files |
Use Cases
- Language model pretraining — Training or fine-tuning LLMs for Kyrgyz (e.g., GPT, BERT, LLaMA)
- Text classification — Building Kyrgyz text classifiers
- Machine translation — Source data for Kyrgyz ↔ other language pairs
- Linguistic research — Studying modern Kyrgyz web language usage
- Punctuation / grammar models — Training data for text normalization tools
- NER & information extraction — Building Kyrgyz entity recognizers
Data Collection
The data was collected by:
- Querying CommonCrawl archives for pages tagged with the Kyrgyz language identifier (
ky) - Extracting text content from the matched web pages
- Cleaning and organizing into CSV format
- Deduplication and quality filtering
Preprocessing Recommendations
Before using this dataset, consider:
- Deduplication — Web-crawled data often contains duplicate paragraphs across pages
- Language verification — Some pages may contain mixed-language content (Kyrgyz + Russian is common)
- Quality filtering — Remove boilerplate (navigation menus, footers, cookie notices)
- Encoding normalization — Ensure consistent Cyrillic encoding (UTF-8)
Limitations
- Web-crawled data may contain noise, boilerplate HTML artifacts, and mixed-language content
- No manual curation — quality varies across files
- Potential duplicates across different CSV files
- Bias toward web-present content — overrepresentation of news and government text, underrepresentation of informal speech
Related Resources
- 🤗 Kyrgyz Punctuation Model — Trained using data from this corpus
- 🤗 Kyrgyz Morphological Analysis — BERT-based morphological tagger
Citation
@dataset{uvalieva2024kyrgyz_commoncrawl,
author = {Uvalieva, Zarina},
title = {Kyrgyz CommonCrawl Text Corpus},
year = {2024},
url = {https://huggingface.co/datasets/Zarinaaa/commoncrawl_dataset}
}
Author
Zarina Uvalieva — ML Engineer specializing in NLP for low-resource languages.