This dataset contains calibration-oriented positive and low-label similarity pairs for embedding training. It is designed to reduce over-scoring of related-but-wrong matches and improve score separation in weak domains.

Dataset Summary

Total records: 73,244 Unique lexemes: 11,522

	Relation Distribution

Relation Type Count

same_domain_wrong_entity 27,216

near_fact_confusion 22,095

style_variant 11,519… See the full description on the dataset page: https://huggingface.co/datasets/mjbommar/opengloss-v1.2-hard-negative-pairs.