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--- |
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tags: |
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- music |
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- midi |
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- emotion |
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size_categories: |
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- 10K<n<100K |
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--- |
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# Popular Hooks |
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This is the dataset repository for the paper: Popular Hooks: A Multimodal Dataset of Musical Hooks for Music Understanding and Generation, in 2024 IEEE International Conference on Multimedia and Expo Workshops (ICMEW). |
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## 1. Introduction |
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Popular Hooks, a shared multimodal music dataset consisting of **38,694** popular musical hooks for music understanding and generation; this dataset has the following key features: |
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- **Multimodal Music Data** |
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- **Accurate Time Alignment** |
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- **Rich Music Annotations** |
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## 2. Modalities |
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- Midi |
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- Lyrics |
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- Video (Youtube link provided, you need to download it by yourself) |
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- Audio |
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## 3. High Level Music Information |
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- Melody |
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- Harmony |
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- Structure |
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- Genre |
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- Emotion(Russell's 4Q) |
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- Region |
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## 4. Dataset File Structure |
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- info_tables.xlsx: it contains a list describing the baisc information of each midi file (index, path, song name, singer, song url, genres, youtube url, youtube video start time and end time/duration, language, tonalities) |
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- midi/{index}/{singer_name}/{song_name}: |
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- complete_text_emotion_result.csv: it contains the emotion class(4Q) which is predicted with the total lyrics of the song. |
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- song_info.json: it contains the song's section info, theorytab DB url and genres info. |
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- total_lyrics.txt: it contains the song's complete lyrics which is collected from music API(lyricsGenius, NetEase, QQMusic) |
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- youtube_info.json: it contains the url of the song in Youtube, the start time and end time/duration of the video section. |
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- ./{section} |
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- {section}.mid: the section in midi format |
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- {section}.txt: it contains the tonalites of the section. |
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- {section}_audio_emotion_result.csv: it contains the emotion class(4Q) which is predicted with the audio of the section. |
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- {section}_lyrics.csv: it contains the lyrics of the section. |
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- {section}_midi_emotion_result.csv: it contains the emotion class(4Q) which is predicted with the midi of the section. |
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- {section}_multimodal_emotion_result.csv: it contains the emotion class(4Q) which is selected from the multimodal emotions of the section. |
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- {section}_text_emotion_result.csv: it contains the emotion class(4Q) which is predicted with the lyrics of the section. |
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- {section}_video_emotion_result.csv: it contains the emotion class(4Q) which is predicted with the video of the section. |
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## 5. Demo |
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<img src='https://huggingface.co/datasets/NEXTLab-ZJU/popular-hook/resolve/main/imgs/popular_hooks_demo.png'> |
