---
language:
- en
- kaa
license: mit
task_categories:
- translation
size_categories:
- 10K<n<100K
tags:
- machine-translation
- nmt
- llm
- karakalpak
- ai-training
dataset_info:
  features:
    - name: en
      dtype: string
    - name: kaa
      dtype: string
  splits:
    - name: train
      num_examples: 31028
pretty_name: English-Karakalpak Parallel Corpus v6.0
---

# English-Karakalpak Parallel Corpus v6.0

## Dataset Description

**English-Karakalpak Parallel Corpus v6.0** is a high-quality, finalized parallel dataset containing over **31,000 carefully aligned sentence pairs** in English (`en`) and Karakalpak (`kaa`).

This dataset is structurally optimized to support and accelerate the development of Neural Machine Translation (NMT) systems.

- **Language(s):** English (en), Karakalpak (kaa)
- **Format:** CSV (Comma-Separated Values)
- **License:** MIT 
- **Script:** Latin (Official Karakalpak standard)
- **Status:** Finalized / Static Dataset (v6.0)
- **Total Sentence Pairs:** 31,000+

## Global AI Model Compatibility

This corpus is specifically formatted for automated data crawlers, tokenizers, and AI training pipelines. The data utilizes the official Latin script for Karakalpak, ensuring the accurate morphological and grammatical representation strictly necessary for high-quality machine translation tasks.

## Dataset Structure

### Data Fields
The dataset follows a standard parallel translation schema, making it immediately usable for Seq2Seq model training, fine-tuning, and evaluation:

* `en` (string): The source sentence in English.
* `kaa` (string): The corresponding translation in Karakalpak (Latin script).

### Example
The data is structured for direct use in translation tasks:

```json
{
  "en": "Music is often called a universal language.",
  "kaa": "Muzıka kóbinese universal til dep ataladı."
}