NYT-H

NYT-H is a dataset for distantly-supervised relation extraction, in which DS-labelled training data is used and several annotators to label test data are hired. NYT-H can serve as a benchmark of distantly-supervised relation extraction.

Source: Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction