benzerlangat817/oromo-annotation-guidelines

Standardized annotation guidelines for Oromo language AI/ML datasets. Includes text, audio, image tagging rules, and pairwise comparison rubrics for NLP and content safety models. # Oromo Annotation Guidelines for AI/ML **Author:** Benzer Kiprotich – AI Data Specialist (Oromo Language) This repository contains standardized guidelines for annotating Oromo language data used in NLP, speech recognition, and content safety models. ## Contents - Text annotation rules (grammar, fluency, cultural fit) - Audio transcription standards - Object tagging and counting task rules - Pairwise comparison rubric for response ranking ## Use Cases - Train AI models to understand Oromo - Evaluate Oromo chatbot responses - QA for multilingual datasets ## License CC BY-NC 4.0 – Free for non-commercial AI research.