# 🗣️ English–Kumaoni Translation Dataset (Romanized, 9538 Pairs) This dataset contains **9538 sentence pairs** of English and their corresponding translations in **Kumaoni** language written in **Roman script** (Latin characters). Kumaoni is a low-resource Indo-Aryan language spoken in the Kumaon region of Uttarakhand, India. --- ## 📂 Dataset Format - **Format:** JSONL (newline-delimited JSON) - **Encoding:** UTF-8 - **Total entries:** 9538 - **Fields:** - `english`: Sentence in English - `kumaoni`: Kumaoni translation in Roman (Latin) script ### 📄 Example: ```json {"english": "give me water.", "kumaoni": "mank paani diyo."} {"english": "what are you doing?", "kumaoni": "tum ki kar rahe chho?"} ``` --- ## 🏔️ About Kumaoni **Kumaoni** is a regional language mainly spoken in the **Kumaon region** of Uttarakhand, India. Despite having over a million native speakers, it is **digitally underrepresented** in the field of NLP. This dataset contributes to preserving and enabling AI systems to work with Kumaoni through: - Romanized scripts (for ease of typing and modeling) - Clean and natural sentence pairs - Practical usage in translation, voice systems, and chatbots --- ## 🔍 Use Cases - Fine-tuning translation models on low-resource languages - Evaluating LLMs for English–Kumaoni code-switching - Building regional chatbots or bilingual assistants - Input for TTS (Text-to-Speech) or ASR if paired with audio - RAG pipelines for Kumaoni-language applications --- ## 📜 License **CC BY 4.0** You are free to use, modify, and distribute this dataset with proper credit to the original author. --- ## 🙏 Acknowledgements Created and maintained by **[Sourab Singh Bora](https://www.kaggle.com/sourabsinghbora)** Special focus was given to: - Romanized consistency - Natural daily-use phrases - Clean Unicode formatting --- ## 💡 Citation ``` @dataset{english_kumaoni_roman_2025, author = {Sourab Singh Bora}, title = {english-kumaoni_translation_dataset}, year = 2025, url = {https://huggingface.co/datasets/sourabsb/english-kumaoni_translation_dataset}, note = {Romanized parallel corpus for low-resource translation} } ```