4 datasets found

The PROPSEGMENT dataset is a large-scale corpus for proposition-level segmentation and entailment recognition.

The sub-sentence encoder is a contrastive learning framework for learning contextual embeddings for semantic units on the sub-sentence level.

The MIRFLICKR-25K dataset consists of 25015 images and 223635 tags, where each image is associated with several textual tags and annotated with a 24-dimensional semantic label.

The dataset used in the paper is a multi-view clustering dataset, which contains 6 views of 30000 samples each. The dataset is used to evaluate the performance of the proposed...