Download Report IEEE DataPort : Supplementary Materials for “OLLM-C Framework: Systematic Calibration of Large Language Models for Educational Text Coding” - 2026
XLSX, WORD by Xiaojie Niu
Information
Format: XLSX, WORD Publisher: IEEE DataPort Publication Date of the Electronic Edition: 02/14/2026
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ISBN: 10.21227/f57m-mq97
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Description
This dataset provides the complete supplementary materials for the OLLM-C (Optimized Large Language Model Coding) framework research. It contains comprehensive documentation of 15 educational text coding frameworks and a dataset of 1,500 annotated text entries from Chinese online courses. The materials include expert human annotations, GPT-4o automated coding results across two calibration rounds, and detailed framework specifications. This dataset enables reproducibility of our systematic approach to optimizing large language models for educational text analysis and supports comparative studies in AI-assisted qualitative research.
$15
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Delivery time: Instant