Omkar2118/datasets huggingface dataset:
Full-body Parkinson’s disease dataset

A public data set of walking full-body kinematics and kinetics in individuals with Parkinson’s disease
ShapeNoiseHorseBird

The ShapeNoiseHorseBird dataset is a curated collection designed to challenge shape recognition models with varying levels of noise. It integrates samples from the Weizmann Horse and Caltech-UCSD Birds 200 datasets, diversifying the challenges presented to models. The introduced noise contains Salt and pepper noise, Circle Noise, Real image Noise, Occlusion noise, Thresholded probability noise and Detection image Noise, creating a robust benchmark for evaluating the resilience of shape-based recognition algorithms. Researchers can leverage ShapeNoise to assess the adaptability of their models to scenarios where shape perception is crucial.
LastLetterConcat

The LastLetterConcat dataset is a collection of word concatenations formed by taking the last letters of individual words and joining them together. Each entry in the dataset consists of a question and an answer, where the answer is the result of concatenating the last letters of specific words. Here are some examples:

ylyo: Take the last letters of each word in “Kelly Cheryl Nancy Jojo” and concatenate them.
adey: Take the last letters of each word in “Gisela Gerald Mackenzie Ashley” and concatenate them.

The dataset contains a total of 500 such examples.

Introducing paper: Chain-of-Thought Prompting Elicits Reasoning in Large Language Models