💡😎 A Small Selection of Big, Fascinating, and Useful Datasets

Sky-T1-data-17k — diverse dataset designed to train the Sky-T1-32B model, which powers the reasoning capabilities of MiniMax-Text-01. This model consistently outperforms GPT-4o and Gemini-2 in benchmarks involving long-context tasks

XMIDI Dataset — large-scale music dataset with precise emotion and genre labels. It contains 108,023 MIDI files, making it the largest known dataset of its kind—ideal for research in music and emotion recognition

AceMath-Data - family of datasets used by NVIDIA to train their flagship model, AceMath-72B-Instruct. This model significantly outperforms GPT-4o and Claude-3.5 Sonnet in solving mathematical problems