8 datasets found

Semantic textual similarity (STS) is a fundamental NLP task that measures the semantic similarity between a pair of sentences. In order to reduce the inherent ambiguity posed...

A dataset for measuring the domain similarity of Persian texts, generated from a dataset of advertisements posted on Divar application.

A collection of semantic textual relatedness datasets for African and Asian languages.

A collection of semantic textual relatedness datasets for 14 languages.

Self-StrAE is a model that processes a given sentence to generate both multi-level embeddings and a structure over the input.

The STS12, STS13, STS14, STS15, STS16, STSb, SICK-R datasets contain sentence pairs from various sources.

The SICK-Relatedness dataset contains 1,000 sentence pairs from the categories of captions, news, and forums.

The STS benchmark dataset contains 8,628 sentence pairs from the categories of captions, news, and forums.