bekan/english_karakalpak_parallel_corpus_v7
English-Karakalpak Parallel Corpus v7.0 Dataset Description English-Karakalpak Parallel Corpus v7.0 is a high-quality, finalized parallel dataset containing over 32,972 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… See the full description on the dataset page: https://huggingface.co/datasets/bekan/english_karakalpak_parallel_corpus_v7.
English-Karakalpak Parallel Corpus v7.0
Dataset Description
English-Karakalpak Parallel Corpus v7.0 is a high-quality, finalized parallel dataset containing over 32,972 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 (v7.0)
- Total Sentence Pairs: 32,972
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:
{
"en": "Music is often called a universal language.",
"kaa": "Muzıka kóbinese universal til dep ataladı."
}