Omkar2118/datasets huggingface dataset:
MUC-4
Full name: Fourth Message Uunderstanding Conference

A dataset for evaluate system's understanding of given passages.
BiSECT

**BiSECT** is a dataset for sentence simplification, which is the ability to take a long, complex sentence and split it into shorter sentences, rephrasing as necessary. BiSECT training data consists of 1 million long English sentences paired with shorter, meaning-equivalent English sentences. These were obtained by extracting 1-2 sentence alignments in bilingual parallel corpora and then using machine translation to convert both sides of the corpus into the same language.

Introducing paper: BiSECT: Learning to Split and Rephrase Sentences with Bitexts
ASTE-Data-V2

A benchmark dataset for the Aspect Sentiment Triplet Extraction, an updated version of ASTE-Data-V1.

Introducing paper: Position-Aware Tagging for Aspect Sentiment Triplet Extraction
DRKG
Full name: Drug Repurposing Knowledge graph

Drug Repurposing Knowledge Graph (DRKG) is a comprehensive biological knowledge graph relating genes, compounds, diseases, biological processes, side effects and symptoms. DRKG includes information from six existing databases including DrugBank, Hetionet, GNBR, String, IntAct and DGIdb, and data collected from recent publications particularly related to Covid19. It includes 97,238 entities belonging to 13 entity-types; and 5,874,261 triplets belonging to 107 edge-types. These 107 edge-types show a type of interaction between one of the 17 entity-type pairs (multiple types of interactions are possible between the same entity-pair), as depicted in the figure below. It also includes a bunch of notebooks about how to explore and analysis the DRKG using statistical methodologies or using machine learning methodologies such as knowledge graph embedding.