Personal Health Insights Evaluation Dataset

doi:doi:10.57702/5wur9qwu

Personal Health Insights Evaluation Dataset

The dataset consists of over 4000 closed and open-ended questions across multiple domains for both automated and human evaluation.

BibTex:

@dataset{Mike_A_Merrill_and_Akshay_Paruchuri_and_Naghmeh_Rezaei_and_Geza_Kovacs_and_Javier_Perez_and_Yun_Liu_and_Erik_Schenck_and_Nova_Hammerquist_and_Jake_Sunshine_and_Shyam_Tailor_and_Kumar_Ayush_and_Hao-Wei_Su_and_Qian_He_and_Cory_Y_McLean_and_Mark_Malhotra_and_Shwetak_Patel_and_Jiening_Zhan_and_Tim_Althoff_and_Daniel_McDuff_and_Xin_Liu_2025,
    abstract = {The dataset consists of over 4000 closed and open-ended questions across multiple domains for both automated and human evaluation.},
    author = {Mike A. Merrill and Akshay Paruchuri and Naghmeh Rezaei and Geza Kovacs and Javier Perez and Yun Liu and Erik Schenck and Nova Hammerquist and Jake Sunshine and Shyam Tailor and Kumar Ayush and Hao-Wei Su and Qian He and Cory Y. McLean and Mark Malhotra and Shwetak Patel and Jiening Zhan and Tim Althoff and Daniel McDuff and Xin Liu},
    doi = {10.57702/5wur9qwu},
    institution = {No Organization},
    keyword = {'evaluation dataset', 'health insights', 'personal health', 'question answering'},
    month = {jan},
    publisher = {TIB},
    title = {Personal Health Insights Evaluation Dataset},
    url = {https://service.tib.eu/ldmservice/dataset/personal-health-insights-evaluation-dataset},
    year = {2025}
}