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Bibliographic Details
Main Authors:	BAŞ YAMAÇ, BAŞAK, Akcar, Rojda, Eryılmaz Şarkan, ipek, Arslan, Can
Format:	Recurso digital
Language:	English
Published:	Zenodo 2025
Subjects:	Artificial Iintelligence. Large language models. TAD. ChatGPT
Online Access:	https://doi.org/10.5281/zenodo.17467514
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Table of Contents:

<p>This dataset contains Likert and Discern scores provided by three researchers to evaluate the most used chatbots ChatGPT-3.5, ChatGPT-4 (OpenAI), Google Bard (Google LLC), and Bing Chat (Microsoft Corp). The dataset supports the findings reported in the article “Assessment of the information quality  of chatbot technologies on orthodontic  miniscrews“.</p>