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---
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*
[**🌐 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 |