vaqasai/Odia_English_News
🌐 Vaqas AI: Odia-English Parallel Dataset Created and Maintained by Vaqas AI Creator & Owner: Vaqas Ahmed 🚀 Project Overview The Vaqas AI Odia-English Dataset is a high-quality parallel translation corpus developed to support Natural Language Processing (NLP) for the Odia language. This dataset focuses on news and contemporary topics, providing high-fidelity translations from English to Odia. This project is a core initiative of Vaqas AI, dedicated to enhancing… See the full description on the dataset page: https://huggingface.co/datasets/vaqasai/Odia_English_News.
🌐 Vaqas AI: Odia-English Parallel Dataset
Created and Maintained by [Vaqas AI](https://vaqasai.in) Creator & Owner: Vaqas Ahmed
🚀 Project Overview
The Vaqas AI Odia-English Dataset is a high-quality parallel translation corpus developed to support Natural Language Processing (NLP) for the Odia language. This dataset focuses on news and contemporary topics, providing high-fidelity translations from English to Odia.
This project is a core initiative of Vaqas AI, dedicated to enhancing regional language support through advanced Generative AI.
🛠️ Methodology & Open Source
This dataset was built using a custom-engineered pipeline:
- Source Data: Curated from a wide variety of news articles and existing open datasets.
- Translation Engine: We leveraged Gemini 3 Flash via Google AI Studio to perform high-accuracy, context-aware translations.
- Open Source Tooling: The entire conversion process and pipeline architecture are open-sourced. You can find the source code here: Odia-English Dataset Builder (GitHub).
📊 Dataset Structure
The dataset is provided in a tab-separated format (.tsv) with the following fields:
id: A unique identifier for each record.odia_text: The Odia translation of the source content.english_text: The original English source text.timestamp: The precise time of the translation generation.
💎 About Vaqas AI
Vaqas AI is an innovative AI laboratory founded by Vaqas Ahmed. We specialize in dataset engineering, regional language LLM fine-tuning, and building proprietary AI tools for specialized industries.
- Official Website: vaqasai.in
- Brand Identity: Vaqas AI / Vaqas.ai
- Contact: Reach out via our website for collaborations or custom dataset needs.
📜 Licensing
This dataset is released under the MIT License. We encourage the community to use this data for training, research, and fine-tuning models.
Attribution: Please credit Vaqas AI in any derivatives or research papers utilizing this dataset.
Developed by Vaqas Ahmed at Vaqas AI, powered by Google AI Studio and Gemini 3 Flash.