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Datasets:
ZomiLanguage
/
zomilanguage

Tasks:
Translation
Text Generation
Fill-Mask
Languages:
Tedim Chin
Zou
English
Size:
10K<n<100K
Tags:
zomi
chin
kuki-mizo
low-resource
nllb
neural-machine-translation
License:
Dataset card Files
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  ---
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  language:
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  - ctd
 
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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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  tags:
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  - zomi
 
 
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  - low-resource
 
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  - neural-machine-translation
 
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  - culture-preservation
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- pretty_name: Zomi-English Parallel Corpus
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  size_categories:
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- - 1K<n<10K
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- # 🌍 Zomi-English Parallel Corpus (ZomiLanguage)
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- ![License](https://img.shields.io/badge/License-Apache_2.0-green.svg) ![Language](https://img.shields.io/badge/Language-Zomi_(Tedim)-blue) ![Task](https://img.shields.io/badge/Task-Machine_Translation-orange) ![Status](https://img.shields.io/badge/Status-Active_Development-brightgreen)
 
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- > **"Preserving Identity Through Technology."**
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- > This dataset is the foundational block for the **Zomi AI Initiative**, aiming to bridge the digital divide for the Zomi people by providing high-quality, open-source training data for Neural Machine Translation (NMT).
 
 
 
 
 
 
 
 
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  ---
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- ## 📊 Dataset Details
 
 
 
 
 
 
 
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- ### Dataset Description
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- This dataset contains parallel sentences aligned between **English** and the **Zomi language** (specifically the *Tedim* dialect, the lingua franca of the Zomi people). It allows researchers and developers to train AI models to translate, understand, and generate Zomi text, moving the language from "low-resource" to "digitally vital."
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- - **Curated by:** Zomi Language & AI Initiative (Disciple Sian)
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- - **Language(s):** English (`en`), Zomi (`ctd`/`zom`)
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- - **License:** Apache License 2.0
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- - **Task:** Machine Translation (En ↔ Zomi)
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- ### 🚀 Uses
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- #### Direct Use
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- - **Neural Machine Translation (NMT):** Fine-tuning models like Meta's NLLB-200, MarianMT, or mBART.
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- - **Linguistic Analysis:** Comparative studies between Chin-Kuki-Mizo languages and English.
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- - **Educational Tools:** Building dictionary apps or flashcards for language learners.
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- #### Out-of-Scope Use
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- - **Medical/Legal Advice:** The dataset contains general domain text and should not be relied upon for critical medical or legal translation without human verification.
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- - **Profanity Generation:** The dataset is filtered for cultural appropriateness.
 
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  ---
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- ## 📂 Dataset Structure
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- The dataset is formatted in **CSV (Comma Separated Values)**, optimized for simplicity and compatibility with the Hugging Face `datasets` library.
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- | Column Name | Type | Description |
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- |:------------|:-------|:-------------------------------------------------|
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- | `english` | String | The source sentence in English. |
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- | `zomi` | String | The translation in Zomi (Standard Tedim spelling)|
 
 
 
 
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- **Example Data:**
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- ```json
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- {
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- "english": "How are you doing today?",
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- "zomi": "Tuni in na dam maw?"
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- }
 
 
 
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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: 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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  ---
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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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+ ![License](https://img.shields.io/badge/License-Apache_2.0-00C853?style=for-the-badge&logo=apache)
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+ ![Language](https://img.shields.io/badge/Language-ZOMI-0091EA?style=for-the-badge&logo=google-translate)
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+ ![Task](https://img.shields.io/badge/Task-NMT_Fine_Tuning-FF6D00?style=for-the-badge&logo=huggingface)
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+ ![Status](https://img.shields.io/badge/Status-ACTIVE_BETA-D50000?style=for-the-badge&logo=statuspage)
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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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+
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+ [**🌐 Live Demo**](https://huggingface.co/spaces/ZomiLanguage) | [**💬 Join Community**](https://huggingface.co/ZomiLanguage/zomilanguage/discussions) | [**📖 Documentation**](#)
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+
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+ </div>
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  ---
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+ ## 📑 **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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+ ## 🚀 **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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+ ## 📊 **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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+ | **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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+ | **Duplicate Ratio** | **< 0.5%** | Highly unique data points. |
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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