Omkar2118/datasets huggingface dataset:
ComFact

ComFact is a benchmark for commonsense fact linking, where models are given contexts and trained to identify situationally-relevant commonsense knowledge from KGs. The novel benchmark, C-om-Fact, contains ∼293k in-context relevance annotations for common-sense triplets across four stylistically diverse dialogue and storytelling datasets.

Source: [ComFact: A Benchmark for Linking Contextual Commonsense Knowledge](https://arxiv.org/pdf/2210.12678v1.pdf)

Image Source: [https://arxiv.org/pdf/2210.12678v1.pdf](https://arxiv.org/pdf/2210.12678v1.pdf)

Introducing paper: ComFact: A Benchmark for Linking Contextual Commonsense Knowledge
CoreSearch

**CoreSearch** is a dataset for Cross-Document Event Coreference Search. It consists of two separate passage collections: (1) a collection of passages containing manually annotated coreferring event mention, and (2) an annotated collection of destructor passages.

Source: [Cross-document Event Coreference Search: Task, Dataset and Modeling](https://arxiv.org/pdf/2210.12654v1.pdf)

Image Source: [https://arxiv.org/pdf/2210.12654v1.pdf](https://arxiv.org/pdf/2210.12654v1.pdf)

Introducing paper: Cross-document Event Coreference Search: Task, Dataset and Modeling