Evaluation Dataset: RAG System with LLM for Migrant Integration in an HCAI
Published: 14 October 2024| Version 1 | DOI: 10.17632/x4x86r6tzd.1
Contributors:
, Description
The data reflect the results of the experimentation with an HCAI system implemented using a RAG framework and the Llama 3.0 model. During the experimentation, 91 questions were utilized in the domain of legal advice and migrant rights. Metrics assessed included contextual enrichment, textual quality, discourse analysis, and sentiment evaluation. This allows for the analysis of sentiments and emotions, bias detection, content and toxicity classification, as well as an analysis of inclusion and diversity.
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Institutions
Universidad de La Laguna
Categories
Ecological Efficiency, Human-Centered Computing, Computer-Aided Human-Centered Design, Sentiment Analysis, Generative Artificial Intelligence, Large Language Model, Retrieval-Augmented LLM