buby3090/hausa-dataset-analysis-partyrock

AI-assisted analysis of a Hausa NLP dataset using AWS PartyRock, focusing on data quality assessment, linguistic annotations, and low-resource language research. # Hausa Dataset Analysis Using AWS PartyRock ## Overview This project explores the use of AWS PartyRock's AI-powered data analysis capabilities to evaluate and understand the characteristics of a Hausa language dataset. The goal was to assess dataset quality, identify potential issues, and extract meaningful insights that could support the development of culturally aware Natural Language Processing (NLP) systems. ## Project Objective The objective of this project was to use PartyRock's data analysis tools to upload a structured Hausa dataset, perform automated exploratory analysis, evaluate AI-generated insights, and communicate findings effectively. ## Research Questions 1. What are the main characteristics of the Hausa dataset, including the number of records, text length distribution, and overall data quality? 2. Are there any duplicated, incomplete, or potentially noisy entries in the dataset? 3. What linguistic, cultural, and contextual information is represented within the dataset? ## Dataset Description The dataset contains 32 annotated Hausa language records with rich linguistic and cultural metadata. Features include: * Domain * Intent * Tone * Cultural Context * Hierarchy Level * Speaker and Addressee Roles * Religious References * Dialect Information * Multimodal Prompts ## Key Findings * The dataset demonstrated excellent completeness and contained no missing values. * No duplicate records were identified. * Rich cultural and linguistic annotations make the dataset suitable for culturally aware AI applications. * Formatting inconsistencies were observed in several categorical fields, including Domain, Tone, and Intent labels. * Standardization and normalization are recommended before machine learning model training. ## Technologies Used * AWS PartyRock * Artificial Intelligence * Data Analysis * Natural Language Processing * Dataset Quality Assessment ## Impact This project demonstrates the importance of data quality assessment in AI devel …