Reubencf/adaption-music-style-prompts

该数据集包含一系列描述性文本提示，旨在生成跨各种流派（包括流行、电子、氛围和摇滚）的多样化音乐曲目。每个条目详细描述了特定的乐器、节奏模式、氛围质量和情感基调，以指导音频合成。该内容旨在作为训练和评估音乐标记、流派/情绪分类、自动歌词转录、音乐检索和音乐-文本多模态模型的资源。数据集包含9,952个数据点，是对Reubencf/fma-labeled数据集的重新制作版本，质量等级为B，相对质量提高了193.3%。数据集领域为音乐，语言为英语，语气主要为描述性（74%）、创造性（16%）和戏剧性（6%）。

This dataset contains a collection of descriptive text prompts designed to generate diverse musical tracks across various genres, including pop, techno, ambient, and rock. Each entry details specific instrumentation, rhythmic patterns, atmospheric qualities, and emotional tones to guide audio synthesis. The content serves as a resource intended for training and evaluating music tagging, genre / mood classification, auto-lyrics transcription, music retrieval, and music-text multimodal models. There are 9,952 data points in this dataset, which is a remastered version of Reubencf/fma-labeled. The final quality is B, with a relative quality improvement of 193.3%. The domain is music (100%), the language is English (100%), and the tone is descriptive (74%), creative (16%), and dramatic (6%).