--- language: - ctd - zom - en license: apache-2.0 task_categories: - translation - text-generation - fill-mask - sentence-similarity - token-classification tags: - zomi - chin - kuki-mizo - low-resource - nllb - neural-machine-translation - ai-for-good - culture-preservation pretty_name: "Zomi-English Parallel Intelligence Corpus (ZEPIC)" size_categories: - 10K # 🌏 ZOMI OPEN AI INITIATIVE 🌏 ### *Bridging the Digital Divide via Neural Machine Translation* ![License](https://img.shields.io/badge/License-Apache_2.0-00C853?style=for-the-badge&logo=apache) ![Language](https://img.shields.io/badge/Language-ZOMI-0091EA?style=for-the-badge&logo=google-translate) ![Task](https://img.shields.io/badge/Task-NMT_Fine_Tuning-FF6D00?style=for-the-badge&logo=huggingface) ![Status](https://img.shields.io/badge/Status-ACTIVE_BETA-D50000?style=for-the-badge&logo=statuspage) ![Version](https://img.shields.io/badge/Version-v2.1_Stable-blueviolet?style=for-the-badge) ![Data_Quality](https://img.shields.io/badge/Data_Quality-A+_Verified-gold?style=for-the-badge) [**🌐 Live Demo**](https://huggingface.co/spaces/ZomiLanguage) | [**💬 Join Community**](https://huggingface.co/ZomiLanguage/zomilanguage/discussions) | [**📖 Developer Docs**](#) --- ## 📑 **Table of Contents** 1. [Project Overview & Mission](#-project-overview--mission) 2. [Dataset Statistics & Analytics](#-dataset-statistics--analytics) 3. [The Zomi AI Architecture](#-the-zomi-ai-architecture) 4. [Linguistic Profile: Understanding Zomi](#-linguistic-profile-understanding-zomi) 5. [Advanced Usage Guide (Python/API)](#-advanced-usage-guide) 6. [Model Benchmarks & Performance](#-model-benchmarks--performance) 7. [Contribution & Roadmap](#-contribution--roadmap) 8. [Data Governance, Ethics & License](#-data-governance-ethics--license) 9. [Citation](#-citation) --- ## 🚀 **Project Overview & Mission** The **Zomi Language** (ISO 639-3: `ctd` / `zom`) is the lingua franca of the Zomi people across the highlands of Myanmar, India (Manipur/Mizoram), and Bangladesh. Despite a vibrant literary history and millions of speakers, it remains "Low-Resource" in the global digital ecosystem. **The Zomi-English Parallel Intelligence Corpus (ZEPIC)** is the world's first open-source, machine-readable dataset designed specifically for Large Language Model (LLM) fine-tuning. It moves beyond simple dictionary matching to capture **semantic context, idiomatic expressions, and syntactic alignment.** ### **Core Objectives** * **Digital Sovereignty:** Owning our data to prevent digital extinction and ensuring the Zomi identity thrives in the AI era. * **Educational Access:** Enabling instant translation of global knowledge (Science, Medicine, Law) into Zomi. * **Cultural Archiving:** Preserving oral history and literature through advanced text generation. --- ## 📊 **Dataset Statistics & Analytics** We employ rigorous data cleaning (deduplication, length-ratio filtering) to ensure high-quality training signals. | Metric | Value | Details | | :--- | :--- | :--- | | **Total Sentence Pairs** | **15,000+** | Validated English-Zomi bitexts. | | **Token Count (En)** | **~250,000** | English Source Tokens. | | **Token Count (Zomi)** | **~240,000** | Zomi Target Tokens (Agglutinative). | | **Vocabulary Size** | **28,400** | Unique Zomi word forms. | | **Avg. Sentence Length** | **14.2 Words** | Ideal for Transformer context windows. | | **Dialect Standard** | **Zomi (Standard)** | Based on the Tedim literary standard. | ### **Domain Distribution** ```mermaid pie title Source Domain Distribution "General Conversation" : 40 "Religious/Theological" : 30 "News & Media" : 15 "Educational/Science" : 10 "Legal/Formal" : 5