| --- |
| 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<n<100K |
| config_names: |
| - default |
| dataset_info: |
| features: |
| - name: english |
| dtype: string |
| - name: zomi |
| dtype: string |
| - name: source |
| dtype: string |
| - name: domain |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 5242880 |
| num_examples: 15000 |
| - name: test |
| num_bytes: 524288 |
| num_examples: 1500 |
| download_size: 2500000 |
| dataset_size: 5767168 |
| --- |
| |
| <div align="center"> |
|
|
| # 🌏 ZOMI OPEN AI INITIATIVE 🌏 |
| ### *Bridging the Digital Divide via Neural Machine Translation* |
|
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| [**🌐 Live Demo**](https://huggingface.co/spaces/ZomiLanguage) | [**💬 Join Community**](https://huggingface.co/ZomiLanguage/zomilanguage/discussions) | [**📖 Developer Docs**](#) |
|
|
| </div> |
|
|
| --- |
|
|
| ## 📑 **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 |
