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@@ -37,10 +37,10 @@ dataset_info:
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  splits:
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  - name: train
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  num_bytes: 5242880
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- num_examples: 12500
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  - name: test
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  num_bytes: 524288
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- num_examples: 1250
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  download_size: 2500000
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  dataset_size: 5767168
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  ---
@@ -57,39 +57,41 @@ dataset_info:
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  ![Version](https://img.shields.io/badge/Version-v2.1_Stable-blueviolet?style=for-the-badge)
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  ![Data_Quality](https://img.shields.io/badge/Data_Quality-A+_Verified-gold?style=for-the-badge)
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- [**🌐 Live Demo**](https://huggingface.co/spaces/ZomiLanguage) | [**πŸ’¬ Join Community**](https://huggingface.co/ZomiLanguage/zomilanguage/discussions) | [**πŸ“– Documentation**](#)
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  </div>
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  ---
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  ## πŸ“‘ **Table of Contents**
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- 1. [Project Overview](#-project-overview)
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  2. [Dataset Statistics & Analytics](#-dataset-statistics--analytics)
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- 3. [Linguistic Profile: Zomi](#-linguistic-profile-zomi)
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- 4. [Advanced Usage Guide (Python/API)](#-advanced-usage-guide)
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- 5. [Model Benchmarks & Performance](#-model-benchmarks--performance)
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- 6. [Data Governance & Ethics](#-data-governance--ethics)
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- 7. [Roadmap & Milestones](#-roadmap--milestones)
 
 
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  ---
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- ## πŸš€ **Project Overview**
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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, it remains "Low-Resource" in the digital age.
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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.
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- * **Educational Access:** Enabling instant translation of global knowledge into Zomi.
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- * **Cultural Archiving:** Preserving oral history through text generation.
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  ---
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  ## πŸ“Š **Dataset Statistics & Analytics**
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- We employ rigorous data cleaning to ensure high-quality training signals.
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  | Metric | Value | Details |
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  | :--- | :--- | :--- |
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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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- | **Duplicate Ratio** | **< 0.5%** | Highly unique data points. |
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  ### **Domain Distribution**
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  ```mermaid
 
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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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  ![Version](https://img.shields.io/badge/Version-v2.1_Stable-blueviolet?style=for-the-badge)
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  ![Data_Quality](https://img.shields.io/badge/Data_Quality-A+_Verified-gold?style=for-the-badge)
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+ [**🌐 Live Demo**](https://huggingface.co/spaces/ZomiLanguage) | [**πŸ’¬ Join Community**](https://huggingface.co/ZomiLanguage/zomilanguage/discussions) | [**πŸ“– Developer Docs**](#)
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  </div>
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  ---
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  ## πŸ“‘ **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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+ ## πŸš€ **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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  ## πŸ“Š **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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  | **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