hoonst/SemEval-STM

SemEval-STM — Dataset Description SemEval-STM is a dataset built on SemEval data to demonstrate the superiority of Segment Topic Modeling (STM). It contains annotations for two topic allocation paradigms: Document Based Topic Allocation (DBTA): assigns a single topic to an entire document Segment Based Topic Allocation (SBTA): assigns topics at the segment level within a document Last updated: 2026-04-19 Rows marked bold in the summary table are the primary evaluation… See the full description on the dataset page: https://huggingface.co/datasets/hoonst/SemEval-STM.