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MI-TAGS is a dataset of English-language Motivational Interviewing therapy session transcripts, annotated with MITI 4.2 codes and CLEAR 1.0 tags. Presented at LREC-COLING 2024, where it was nominated for Best Paper. This repository offers sample CSV files and instructions for full dataset access.
High-performance Nepali (Bikram Sambat) datetime library based on astronomical calculations. Includes bindings for Python, Django, and JavaScript/WASM.