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                <identifier>oai:data.mendeley.com/742yvtjcyd.2</identifier>
                <datestamp>2025-07-24T16:04:47Z</datestamp>
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    <dc:creator>Yu, Hanyi</dc:creator>
    <dc:title>Dataset: Automated Quality Assessment of Online Medical Science Popularization Videos</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This repository contains all the necessary data files for the readers of “Automated Quality Assessment of Online Medical Science Popularization Videos: A Framework Based on Large Language Models.”
· Converted_Text_with_Human_Ratings.xlsx: Deidentified text transcripts converted from video audio tracks with corresponding human ratings.
· likelihood_selection.py: The code to realize automated quality assessment of videos with large language models using the likelihood selection strategy.
· LLM_Evaluation_Results: Evaluation results of 13 large language models.
· Resilience_to_Distrubance: Evaluation results of LLaMA-3 based models with different prompt generation strategies as disturbance.</dc:description>
    <dc:subject>Community Health</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/742yvtjcyd.2</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/742yvtjcyd.2</dc:identifier>
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    <dc:date>2025-07-24T16:04:47Z</dc:date>
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