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--- |
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language: |
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- ctd |
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- zom |
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- en |
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license: apache-2.0 |
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task_categories: |
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- translation |
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- text-generation |
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- fill-mask |
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- sentence-similarity |
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- token-classification |
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tags: |
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- zomi |
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- chin |
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- kuki-mizo |
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- low-resource |
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- nllb |
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- neural-machine-translation |
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- ai-for-good |
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- culture-preservation |
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pretty_name: "Zomi-English Parallel Intelligence Corpus (ZEPIC)" |
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size_categories: |
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- 10K<n<100K |
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config_names: |
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- default |
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dataset_info: |
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features: |
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- name: english |
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dtype: string |
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- name: zomi |
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dtype: string |
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- name: source |
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dtype: string |
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- name: domain |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 5242880 |
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num_examples: 15000 |
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- name: test |
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num_bytes: 524288 |
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num_examples: 1500 |
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download_size: 2500000 |
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dataset_size: 5767168 |
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--- |
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<div align="center"> |
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# 🌏 ZOMI OPEN AI INITIATIVE 🌏 |
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### *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**](#) |
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</div> |
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--- |
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## 📑 **Table of Contents** |
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1. [Project Overview & Mission](#-project-overview--mission) |
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2. [Dataset Statistics & Analytics](#-dataset-statistics--analytics) |
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3. [The Zomi AI Architecture](#-the-zomi-ai-architecture) |
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4. [Linguistic Profile: Understanding Zomi](#-linguistic-profile-understanding-zomi) |
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5. [Advanced Usage Guide (Python/API)](#-advanced-usage-guide) |
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6. [Model Benchmarks & Performance](#-model-benchmarks--performance) |
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7. [Contribution & Roadmap](#-contribution--roadmap) |
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8. [Data Governance, Ethics & License](#-data-governance-ethics--license) |
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9. [Citation](#-citation) |
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--- |
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## 🚀 **Project Overview & Mission** |
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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. |
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**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.** |
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### **Core Objectives** |
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* **Digital Sovereignty:** Owning our data to prevent digital extinction and ensuring the Zomi identity thrives in the AI era. |
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* **Educational Access:** Enabling instant translation of global knowledge (Science, Medicine, Law) into Zomi. |
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* **Cultural Archiving:** Preserving oral history and literature through advanced text generation. |
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--- |
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## 📊 **Dataset Statistics & Analytics** |
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We employ rigorous data cleaning (deduplication, length-ratio filtering) to ensure high-quality training signals. |
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| Metric | Value | Details | |
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| :--- | :--- | :--- | |
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| **Total Sentence Pairs** | **15,000+** | Validated English-Zomi bitexts. | |
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| **Token Count (En)** | **~250,000** | English Source Tokens. | |
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| **Token Count (Zomi)** | **~240,000** | Zomi Target Tokens (Agglutinative). | |
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| **Vocabulary Size** | **28,400** | Unique Zomi word forms. | |
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| **Avg. Sentence Length** | **14.2 Words** | Ideal for Transformer context windows. | |
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| **Dialect Standard** | **Zomi (Standard)** | Based on the Tedim literary standard. | |
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### **Domain Distribution** |
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```mermaid |
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pie title Source Domain Distribution |
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"General Conversation" : 40 |
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"Religious/Theological" : 30 |
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"News & Media" : 15 |
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"Educational/Science" : 10 |
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"Legal/Formal" : 5 |
