Awesome-Datasets-Hub
A curated collection of datasets for training and evaluating large language models, covering medical AI, NLP, multimodal learning, instruction tuning, reasoning, code generation and evaluation benchmarks.
Awesome-Datasets-Hub is a curated collection of datasets used for building and evaluating large language models. It organizes datasets into categories such as medical AI, NLP, multimodal learning, instruction tuning, reasoning, code generation and evaluation benchmarks.
The medical section alone lists dozens of datasets, including question-answering sets built from medical licensing exams, biomedical literature corpora, clinical note collections, and radiology image datasets, each with its domain, task, scale and source.
It is presented as a set of reference tables rather than code, intended as a starting point for finding a dataset for a given LLM task.