OpenAI introduced GABRIEL, a new open-source toolkit designed to help researchers turn qualitative data like interviews, course materials, social media, and images into quantitative measurements for easier analysis.
Traditional qualitative analysis is time-consuming and limits studies at scale, but GABRIEL lets researchers define what they want to measure in simple language and consistently score thousands or millions of documents. It also includes tools for merging datasets, deduplicating data, coding passages, and protecting privacy.
Available as a Python library with a tutorial, GABRIEL aims to make rich qualitative data more accessible for economists, social scientists, and data scientists.
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