lmmlzn/Awesome-LLMs-Datasets
A curated survey cataloging representative datasets for training, fine-tuning, and evaluating large language models.
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This repository aggregates and categorizes existing LLM datasets into five dimensions: pre-training corpora, instruction fine-tuning datasets, preference datasets, evaluation datasets, and traditional NLP datasets. It also covers emerging categories like multimodal LLM datasets and RAG datasets. The collection references a comprehensive survey paper covering 444 datasets across 8 languages and 32 domains.