Omkar2118/datasets huggingface dataset:
Unreal-RS

Rolling Shutter dataset captured with Unreal engine

Introducing paper: USB-NeRF: Unrolling Shutter Bundle Adjusted Neural Radiance Fields
QTL
Full name: Quantitative Trait Locus

We present QTL, a real-life DS-NER application in the animal science domain. The entity type to recognize is “trait”, an important task in the construction of genotype-phenotype databases for advancing livestock genomics research and breeding methodologies. Different from previous DS-NER datasets, where entities consist of many proper nouns, trait entities consist of descriptive expressions. For example, in the sentence “There are several reports on candidate gene analysis of subcutaneous fat depth traits using similar Wagyu × Limousin F2populations”, “subcutaneous fat depth traits” is a trait entity that needs to be identified.

Introducing paper: Re-Examine Distantly Supervised NER: A New Benchmark and a Simple Approach