license: odc-by
language:
- kk
tags:
- nlp
- kazakh
- wikipedia
- dataset
- llm-training
pretty_name: Kazakh-Wiki-Clean-228K
size_categories:
- 100K<n<1M
Released as part of the NOESIS Professional Multilingual Dubbing Automation Platform (framework: DHCF-FNO — Deterministic Hybrid Control Framework for Frozen Neural Operators).
Founder: Ilia Bolotnikov
Organization: AMAImedia.com
X (Twitter): @AMAImediacom
LinkedIn: Ilia Bolotnikov
Telegram: @djbionicl
NOESIS version: v16.1
Release date: 2026-08
📚 Kazakh-Wiki-Clean-228K
A cleaned and structured collection of 228,810 articles from the Kazakh Wikipedia, curated for Large Language Model (LLM) pre-training, fine-tuning, and Natural Language Processing (NLP) tasks.
📊 Dataset Summary
| Property | Value |
|---|---|
| Total Articles | 228,810 |
| Source | Wikimedia Foundation (kkwiki) |
| Language | Kazakh (Cyrillic script) |
| Format | JSON Lines (.jsonl) |
| Article Scope | Namespace 0 (Main Articles only) |
🔧 Preprocessing Methodology
The dataset was processed using a custom stream-based extraction pipeline designed for data integrity.
1. Filtering
- Retained primary namespace articles (NS 0) only
- Excluded redirects, talk pages, and administrative categories
- Discarded articles with a final length below 200 characters to ensure content quality
2. Markup Removal
- Recursive stripping of nested MediaWiki templates, infoboxes, and tables
- Removal of HTML tags and technical metadata
- Conversion of internal wiki-links to plain text
3. Normalization
- Removal of technical commands (e.g.,
__NOTOC__,__NOEDITSECTION__) - Cleanup of structural artifacts such as empty parentheses and residual brackets
- Normalization of whitespace and punctuation
🗂️ Data Structure
The dataset is stored in JSONL format. Each line represents a single article:
{
"title": "Article Title",
"text": "Extracted and cleaned text content..."
}
🚀 Intended Applications
- Language Modeling — Pre-training and fine-tuning of transformer-based models
- Embeddings — Development of Kazakh-language semantic representations
- RAG Systems — Knowledge base for Retrieval-Augmented Generation pipelines
- Linguistic Analysis — Statistical and structural research on the Kazakh language
⚖️ License and Attribution
This dataset is distributed under the Odc-by License.
Attribution: Users must credit the original author when using or redistributing this dataset.
Created by kurumikz