Omkar2118/datasets huggingface dataset:
LEPISZCZE

**LEPISZCZE** is an open-source comprehensive benchmark for Polish NLP and a continuous-submission leaderboard, concentrating public Polish datasets (existing and new) in specific tasks.

Source: [This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish](https://arxiv.org/pdf/2211.13112v1.pdf)

Image Source: [https://arxiv.org/pdf/2211.13112v1.pdf](https://arxiv.org/pdf/2211.13112v1.pdf)

Introducing paper: This is the way: designing and compiling LEPISZCZE, a comprehensive NLP benchmark for Polish
Retina Benchmark

The **Retina Benchmark** is a set of real-world tasks that accurately reflect such complexities and are designed to assess the reliability of predictive models in safety-critical scenarios. Specifically, two publicly available datasets of high-resolution human retina images exhibiting varying degrees of diabetic retinopathy, a medical condition that can lead to blindness, are used to design a suite of automated diagnosis tasks that require reliable predictive uncertainty quantification.

Source: [Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks](https://arxiv.org/pdf/2211.12717v1.pdf)

Image Source: [https://arxiv.org/pdf/2211.12717v1.pdf](https://arxiv.org/pdf/2211.12717v1.pdf)

Introducing paper: Benchmarking Bayesian Deep Learning on Diabetic Retinopathy Detection Tasks