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!important: Be careful when using caption_attribute_prediction (We don't recommend to use)!

  Dataset Card for LP-MusicCaps-MSD





  Dataset Summary

LP-MusicCaps is a Large Language Model based Pseudo Music Caption dataset for text-to-music and music-to-text tasks. We construct the music-to-caption pairs with tag-to-caption generation (using three existing multi-label tag datasets and four task… See the full description on the dataset page: https://huggingface.co/datasets/seungheondoh/LP-MusicCaps-MSD.

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!important: Be careful when using caption_attribute_prediction (We don't recommend to use)!

  Dataset Card for LP-MusicCaps-MTT





  Dataset Summary

LP-MusicCaps is a Large Language Model based Pseudo Music Caption dataset for text-to-music and music-to-text tasks. We construct the music-to-caption pairs with tag-to-caption generation (using three existing multi-label tag datasets and four task… See the full description on the dataset page: https://huggingface.co/datasets/seungheondoh/LP-MusicCaps-MTT.

CLAPv2/MusicCaps dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset

This dataset was created by recha_wine

Released under Apache 2.0

Contents

MusicBench Dataset

The MusicBench dataset is a music audio-text pair dataset that was designed for text-to-music generation purpose and released along with Mustango text-to-music model. MusicBench is based on the MusicCaps dataset, which it expands from 5,521 samples to 52,768 training and 400 test samples!

  Dataset Details

MusicBench expands MusicCaps by:

Including music features of chords, beats, tempo, and key that are extracted from the audio. Describing these music… See the full description on the dataset page: https://huggingface.co/datasets/amaai-lab/MusicBench.

Dataset Card for Music-Audio-Pseudo Captions

Pseudo Music and Audio Captions from LP-MusicCaps, Music Negation/Temporal Ordering WavCaps

  Dataset Summary

Compared to other domains, music and audio domains cannot obtain well-written web caption data, and caption annotation is expensive. Therefore, we use the Music (LP-MusicCaps), (Music Negation/Temporal Ordering) and Audio (Wavcaps) datasets created with ChatGPT to re-organize them in the form of instructions, input… See the full description on the dataset page: https://huggingface.co/datasets/seungheondoh/music-audio-pseudo-captions.

mulab-mir/lp-music-caps-magnatagatune-3k-musicfm-embedding dataset hosted on Hugging Face and contributed by the HF Datasets community

Google/Music-Capsの音声データをスペクトログラム化したデータ。

Music Cpasとは：https://huggingface.co/datasets/google/MusicCaps GrayScaleじゃないほうもあるから見てね(⋈◍＞◡＜◍)。✧♡（これ）

  基本情報

sampling_rate: int = 44100 20秒のwavファイル -> 1600×800のpngファイルへ変換 librosaの規格により、画像の縦軸：(0-10000?Hz), 画像の横軸：(0-40秒) 詳しくはlibrosa.specshow() -> https://librosa.org/doc/main/auto_examples/plot_display.html

  使い方





  0: データセットをダウンロード

from datasets import load_dataset data = load_dataset("mickylan2367/spectrogram") data… See the full description on the dataset page: https://huggingface.co/datasets/mickylan2367/GraySpectrogram.