Omkar2118/datasets huggingface dataset:
ReClor

Logical reasoning is an important ability to examine, analyze, and critically evaluate arguments as they occur in ordinary language as the definition from Law School Admission Council. **ReClor** is a dataset extracted from logical reasoning questions of standardized graduate admission examinations.

Source: [ReClor](https://whyu.me/reclor/)

Introducing paper: ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
SEN12MS-CR

**SEN12MS-CR** is a multi-modal and mono-temporal data set for cloud removal. It contains observations covering 175 globally distributed Regions of Interest recorded in one of four seasons throughout the year of 2018. For each region, paired and co-registered synthetic aperture radar (SAR) Sentinel-1 measurements as well as cloudy and cloud-free optical multi-spectral Sentinel-2 observations from European Space Agency's Copernicus mission are provided. The Sentinel satellites provide public access data and are among the most prominent satellites in Earth observation. 

Source: [Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery](/paper/multi-sensor-data-fusion-for-cloud-removal-in)

Introducing paper: Multi-Sensor Data Fusion for Cloud Removal in Global and All-Season Sentinel-2 Imagery
Wizard of Wikipedia

**Wizard of Wikipedia** is a large dataset with conversations directly grounded with knowledge retrieved from Wikipedia. It is used to train and evaluate dialogue systems for knowledgeable open dialogue with clear grounding

Introducing paper: Wizard of Wikipedia: Knowledge-Powered Conversational agents