e2rels
e2rels is a dataset designed for relation extraction tasks. Relation extraction is a subtask of information extraction that seeks to identify and classify semantic relationships between entities in text. The e2rels dataset provides a collection of sentences, each containing annotated entities and the relationships that exist between them. This allows researchers and developers to train and evaluate machine learning models for automatically identifying these relationships in new text.
The dataset typically consists of raw text paired with annotations. These annotations specify the start and
The e2rels dataset is often used as a benchmark to compare the performance of different relation extraction