--- license: mit task_categories: - translation - text-generation language: - mho - lol - lun - tll - cjk - nga - lgg - flr - alz - bem - lin - bqc - kin - lua - swc - fr - en - de - ita - es - pt size_categories: - 10KDataset Summary **cd_multi_parallel_31k_v1** is a mid-scale **multilingual parallel corpus** for low-resourced languages of the **Democratic Republic of the Congo (DRC)**. It consists of **31,440 aligned sentences**, enabling research in **machine translation, multilingual NLP, and linguistic analysis**. This dataset is extracted from **publicly available Bible data**, providing structured and well-aligned multilingual text. ## Features - 🌍 **Multilinguality**: Includes translations in **15 Congolese languages** along with **6 high-resource international languages**. - 🔗 **Parallel Data**: Sentences are aligned across languages, making it suitable for **training and evaluating machine translation models**. - ✅ **High Quality**: Extracted from **publicly available Bible data** and carefully processed to **maintain alignment integrity**. - 🔄 **Versioning**: This is **version 1**. ## Languages Included The dataset includes **15 Congolese languages** and **6 widely spoken international languages**, making it valuable for both **local and global NLP research**. ## Dataset Structure Each entry in the dataset contains: - 🆔 **A unique sentence ID** - 🌐 **Translations** in **multiple languages** ## Usage ### 📥 Loading the dataset You can load the dataset using the Hugging Face `datasets` library: ```python from datasets import load_dataset dataset = load_dataset("SalomonMetre13/cd_multi_parallel_31k_v1")