---
license: apache-2.0
library_name: transformers
pipeline_tag: image-text-to-text
language:
- en
- ru
- zh
- vi
- kk
- ja
- af
- am
- ar
- as
- ast
- az
- be
- bg
- bn
- bs
- ca
- ceb
- ckb
- cs
- cy
- da
- de
- el
- es
- et
- eu
- fa
- ff
- fi
- fil
- fr
- ga
- gl
- gn
- gu
- ha
- he
- hi
- hr
- hu
- hy
- id
- ig
- is
- it
- jv
- ka
- kam
- kea
- km
- kmr
- kn
- ko
- ky
- lb
- lg
- ln
- lo
- lt
- luo
- lv
- mi
- mk
- ml
- mn
- mr
- ms
- mt
- mvy
- my
- ne
- nl
- "no"
- nso
- ny
- oc
- om
- "or"
- pa
- pl
- ps
- pt
- qxp
- ro
- rw
- sd
- sk
- skr
- sl
- sn
- so
- sr
- sv
- sw
- ta
- te
- tg
- th
- ti
- tk
- tr
- ug
- uk
- umb
- ur
- uz
- wo
- xh
- yo
- yue
- zu
base_model:
- tencent/Hy4-preview
- AngelSlim/Hy4-preview-GGUF
tags:
- tencent
- Hy4-preview
- Hy4
---

<!-- apex-banner -->
<div style="background-color: #f59e0b; color: white; padding: 20px; border-radius: 10px; text-align: center; margin: 20px 0;">
<h2 style="color: white; margin: 0 0 10px 0;">⚡ Each donation funds the next large quant.</h2>
<p style="font-size: 16px; margin: 0 0 15px 0;">I host free GGUF or MoE quants as independent research.<br>
Local hardware: <b>Mechrevo Kuangshi GM7AG0M</b> — RTX 3060 Laptop 6GB GDDR6, 64GB DDR5, i7-12700H (14C/20T, 4.7GHz), Windows 11, Samsung 990 Pro.<br>
Good for imatrix and 0.6–35B-class work in RAM. <b>9B+ and searches need rented H200/Blackwell</b>, typically $100 per quant.</p>
<p style="font-size: 20px; margin: 0;">
<a href="https://boosty.to/amaimediacom" style="color: white; text-decoration: underline;">🎉 Boosty🦄</a>  | 
<a href="https://donatex.gg/widgets/donation-goal/89bc59e8-b69c-467a-9aa0-5e1c3f8842d6" style="color: white; text-decoration: underline;">☕ Buy Me a Coffee🦄</a>  | 
<a href="https://www.donationalerts.com/r/djbionicl" style="color: white; text-decoration: underline;">⭐ DonationAlerts🦄</a>
</p>
<p style="font-size: 14px; margin: 10px 0 0 0; opacity: 0.9;">💚 Thanks to Hugging Face for extra storage.🦄</p>
</div>

---


## NOESIS / AMAImedia

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](https://x.com/AMAImediacom)
- **LinkedIn:** [Ilia Bolotnikov](https://www.linkedin.com/in/ilia-bolotnikov)
- **Telegram:** [@djbionicl](https://t.me/djbionicl)
- **NOESIS version:** v16.1
- **Release date:** 2026-09-18

# 📚 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:

```json
{
  "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](https://opensource.org/licenses/Odc-by)**.

**Attribution:**
Users must credit the original author when using or redistributing this dataset.

> Created by **kurumikz**
>