Omkar2118/datasets huggingface dataset:
Re-DocRED
Full name: Revisiting Document Level Relation Extraction

The Re-DocRED Dataset resolved the following problems of DocRED:

1. Resolved the incompleteness problem by supplementing large amounts of relation triples.
2. Addressed the logical inconsistencies in DocRED.
3. Corrected the coreferential errors within DocRED.

Introducing paper: Revisiting DocRED -- Addressing the False Negative Problem in Relation Extraction
KAMEL
Full name: Knowledge Analysis with Multitoken Entities in Language Models

KAMEL comprises knowledge about 234 relations from Wikidata with a large training, validation, and test dataset. We make sure that all facts are also present in Wikipedia so that they have been seen during the pre-training procedure of the LMs we are probing. Most importantly we overcome the limitations of existing probing datasets by 
(1) having a larger variety of knowledge graph relations, 
(2) it contains single- and multi-token entities, 
(3) we use relations with literals, and 
(4) have alternative labels for entities. 
(5) Furthermore, we created an evaluation procedure for higher cardinality relations, which was missing in previous works, and 
(6) make sure that the dataset can be used for causal LMs.

Introducing paper: KAMEL : Knowledge Analysis with Multitoken Entities in Language Models
CoRAL dataset
Full name: CoRAL: a Context-aware Croatian Abusive Language Dataset

**CoRAL** is a language and culturally aware Croatian Abusive dataset covering phenomena of implicitness and reliance on local and global context.

Introducing paper: CoRAL: a Context-aware Croatian Abusive Language Dataset