Omkar2118/datasets huggingface dataset:
Coffereview Dataset

The data set is based on roughly 6,000 coffee bean review spublished on the website Coffereviews going back to 1997. All of these reviews are scored with the q-grading scale (Coffee Review, 2021)

Introducing paper: Syrupy Mouthfeel and Hints of Chocolate -- Predicting Coffee Review Scores using Text Based Sentiment
Processed CMIP5 EWS Data

Processed CMIP5 data used for testing the CNN-LSTM model. Details in Zenodo description

Introducing paper: Universal Early Warning Signals of Phase Transitions in Climate Systems
GHOSTS

**GHOSTS** is the first natural-language dataset made and curated by working researchers in mathematics that (1) aims to cover graduate-level mathematics and (2) provides a holistic overview of the mathematical capabilities of language models. It a collection of multiple datasets of prompts, totalling 728 prompts, for which ChatGPT’s output was manually rated by experts.

Source: [Mathematical Capabilities of ChatGPT](https://arxiv.org/pdf/2301.13867v1.pdf)