Datasets:
ytid
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oOiwmRV1PBk
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This music clip is a loud, boomy drum beat. The tempo is slow with the powerful and rhythmic beat of the Big Chinese drum. It is loud, resonating, vibrating and powerful and sounds ceremonial, celebratory and royal and used for announcements.
|
['instrumental', 'slow tempo', 'percussion', 'celebratory', 'festivities', 'announcements', 'funerals', 'big chinese drums', 'ceremonial', 'royal', 'low key', 'bass', 'resounding', 'powerful', 'drum beat']
|
/m/011k_j,/m/026t6,/m/04rlf,/m/04szw,/m/0l14md
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| 501
|
_IkLUOsNHAA
|
In this piece a timpani takes a strong loud position before other orchestral instruments are entering the musical composition. Brasses, flutes and strings are playing a rising rhythmical melody creating tension. This song may be playing in a classical chamber concert or in a scene of a superhero movie.
|
['classical/orchestra', 'cinematic', 'tension building', 'timpani', 'brass', 'flutes', 'strings', 'medium to uptempo']
|
/m/011k_j,/m/01kcd,/m/04rlf,/m/04szw,/m/05pd6,/m/07y_7,/m/0ggq0m
| 6
| 0
| 10
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] | 4
| 500
|
frqnZb8Ssjo
|
This clip features a drum kit being played. Different parts of the drum kit are played. At the beginning, a female narrates the process in one line following which different parts of the kit are struck. This sound can be played in a drum test scenario.
|
['percussion sound', 'testing sounds of drums', 'female narrator', 'no other instruments', 'no vocal melody']
|
/m/0239kh,/m/026t6,/m/02hnl,/m/03t3fj,/m/06rvn,/m/0bm02,/m/0l14md
| 0
| 90
| 100
| false
| false
|
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] | 4
| 500
|
P5AgEqouchI
|
The low quality recording features a theremin solo melody played over playback that has a sustained strings melody playing. It sounds emotional, sad, heartfelt and the recording is noisy and in mono.
|
['low quality', 'noisy', 'mono', 'theremin solo melody', 'sustained strings melody', 'playback', 'sad', 'emotional', 'heartfelt']
|
/m/04rlf,/m/07kc_
| 4
| 10
| 20
| false
| false
|
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] | 4
| 500
|
TokHdpvX7Es
|
The low quality recording features a choir singing over punchy kick and snare hits, shimmering hi hats, groovy piano and groovy bass. In the first half, there are harmonizing female vocals singing, after which the male harmonizing vocals start singing. It sounds soulful, passionate and emotional. The recording is a bit noisy.
|
['low quality', 'noisy', 'choir', 'harmonizing female vocals', 'harmonizing male vocals', 'punchy snare', 'punchy kick', 'shimmering hi hats', 'groovy piano melody', 'groovy bass', 'live performance', 'soulful', 'passionate', 'emotional']
|
/m/015lz1,/m/04rlf,/m/05lls,/m/0ggq0m,/m/0l14jd
| 4
| 30
| 40
| false
| false
|
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] | 4
| 500
|
xVab_CbwecE
|
This song features a bass guitar playing a groovy lick at a high pitch. This is followed by a rock and roll pattern. This starts off on a high sequence. This is played for two bars followed by a sequence on a lower part of the bass. This song can be played in an instructional video for bass. There are no voices in this song. There are no other instruments in this song.
|
['bass guitar', 'no voices', 'instrumental', 'no other instruments', 'instructional song']
|
/m/018vs,/m/0342h,/m/04rlf,/m/04szw,/m/0fx80y
| 0
| 60
| 70
| false
| false
|
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] | 4
| 500
|
WjPHxUtF9go
|
The low quality recording features an emotional electric guitar melody. The recording is noisy and in mono as it was probably recorded with a poor quality microphone.
|
['low quality', 'mono', 'noisy', 'emotional electric guitar melody']
|
/m/0342h,/m/04rlf,/m/04szw,/m/06w87,/m/07m2kt,/m/07s0s5r,/m/0fx80y
| 4
| 30
| 40
| false
| false
|
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]
] | 4
| 500
|
8kx5ST65Fog
|
The low quality recording features a live performance of a folk song and it consists of a metallic percussive melody, wooden percussions, acoustic guitar melody and flute melody. It sounds soulful, upbeat and passionate and the recording is noisy.
|
['low quality', 'folk', 'noisy', 'live performance', 'metallic percussive melody', 'wooden percussions', 'acoustic guitar melody', 'flute melody', 'soulful', 'upbeat', 'passionate']
|
/m/05pd6
| 4
| 90
| 100
| false
| false
|
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] | 4
| 501
|
P1Vxm_ICSG0
|
The Electro song features a filter modulated synth melody, groovy synth bass, shimmering hi hats, punchy kick and snare hits, followed by short snare roll, haunting synth lead, low pitched male vocal introducing the section and high pitched riser that builds the energy up. It sounds energetic, upbeat and exciting - like something you would hear in clubs.
|
['electro', 'filter modulated synth melody', 'groovy synth bass', 'shimmering hi hats', 'low pitched male vocal', 'punchy snare', 'punchy kick', 'high pitched riser', 'short snare roll', 'energetic', 'haunting synth lead', 'upbeat', 'exciting']
|
/m/02lkt,/m/04rlf,/m/07gxw
| 4
| 30
| 40
| false
| true
|
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] | 4
| 500
|
xJ63DJzzvnA
|
The low quality recording features a live performance of a gospel song that consists of harmonizing vocals singing over acoustic rhythm guitar, groovy bass guitar, shimmering hi hats and punchy toms. It gives off happy and fun vibes.
|
['low quality', 'groovy piano melody', 'harmonizing vocals', 'acoustic rhythm guitar', 'groovy bass', 'shimmering hi hats', 'punchy toms', 'happy', 'fun', 'gospel', 'live performance']
|
/m/04rlf,/m/06rqw
| 4
| 30
| 40
| false
| false
|
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] | 4
| 500
|
clefr8E-iZQ
|
Someone is playing an e-guitar with different effects over an acoustic drumgroove. Some of the sounds are panned to the right and left side of the speakers. This song may be playing at home practicing guitar.
|
['amateur recording', 'e-guitar', 'acoustic drums', 'shaker', 'medium to uptempo']
|
/m/0155w,/m/01jnbd,/m/02rr_,/m/02sgy,/m/0342h,/m/04rlf,/m/04szw,/m/07m2kt,/m/0fx80y
| 6
| 30
| 40
| true
| true
|
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] | 4
| 500
|
NjoKxRwQxCE
|
This clip features a male voice in a narrative voice. This is accompanied by a synth sound using a ring modulator effect. The voice is calming. This song can be played in a documentary movie. There is no vocal melody in this song. There are no other instruments in this clip.
|
['synth song', 'no percussion', 'male voice', 'narration', 'ring modulator', 'no other instruments', 'no vocal melody', 'instrumental', 'haunting theme']
|
/m/0l14t7
| 0
| 400
| 410
| false
| false
|
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] | 4
| 501
|
2I6pPRWKsCQ
|
The low quality recording features a live performance of a R&B song that consists of muffled male vocal singing over groovy bass guitar, mellow synth keys melody and energetic drums. There are some crowd noises in the background. The recording is noisy, as it was probably recorded with a phone, but it sounds energetic, passionate and emotional.
|
['low quality', 'noisy', 'crowd noise', 'live performance', 'r&b', 'energetic drums', 'muffled male vocal', 'groovy bass', 'mellow synth keys melody', 'energetic', 'passionate', 'emotional']
|
/m/01s0ps,/m/05148p4,/m/05r5c
| 4
| 380
| 390
| false
| false
|
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] | 4
| 500
|
vQ09gQBt1IU
|
This audio contains a lot of percussion such as shakers panned to both sides of the speakers. An organ is playing a melody panned to the left side and a digital trumpet/guitar sound is playing a melody panned to the right side of the speakers. A soft percussion sound is creating a bassline while male voices are singing as a choir and a main singer in the foreground. This song may be playing as a live performance in an african country.
|
['dancemusic', 'percussions', 'shakers', 'male voices singing', 'bass', 'organ', 'digital trumpet/guitar sound', 'slower tempo']
|
/m/0164x2,/m/04rlf,/m/074ft,/m/0ln16
| 6
| 70
| 80
| false
| false
|
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]
] | 4
| 500
|
DgqPgNqW2hE
|
A female singer sings this beautiful vintage French melody. The song is medium tempo with a steady drum rhythm, steady bass line, piano accompaniment , string section harmony and some lush snare play. The song is romantic and cheerful with an avant-garde nature.
|
['female singer', 'lilting melody', 'vocal vibrato', 'avant-garde', 'string section accompaniment', 'piano accompaniment', 'steady drumming rhythm', 'snare playing', 'retro pop hits', 'avante-garde', 'french jazz', 'retro jazz', 'pleasant', 'emotional', 'it’s a wonderful life', 'carefree', 'love song', 'retro hits', 'vintage pop', 'vintage jazz', 'cheerful', 'romantic']
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/m/0155w,/m/04rlf
| 1
| 50
| 60
| false
| false
|
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] | 4
| 500
|
vDmUlgsDOP4
|
This audio contains a drum playing with a lot of toms. A distorted e-guitar is playing a solo melody. In the background panned to the right side of the speakers you can hear a keyboard playing minor chords in the higher mid-range. This song may be playing while sitting in your room dancing for yourself.
|
['rock', 'e-guitar', 'acoustic drums', 'keys', 'uptempo', 'uplifting energy']
|
/m/04rlf,/t/dd00036
| 6
| 170
| 180
| false
| false
|
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] | 4
| 500
|
mLaon9oK1OA
|
This is a latin pop song with a chipmunk effect. There is a female and a male vocal singing melodically but at a higher pitch than the original. An acoustic guitar and a bass guitar play in the melodic background while a latin electronic drum beat is in the rhythmic background. The piece is very danceable. The piece could be used at a children's dancing course as an accompaniment. It could also be used in the background of funny social media content.
|
['latin pop', 'female vocal', 'male vocal', 'chipmunk effect', 'acoustic guitar', 'bass guitar', 'electronic drums', 'dance', 'comedic']
|
/m/04rlf,/t/dd00003,/t/dd00004,/t/dd00005
| 9
| 30
| 40
| true
| true
|
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] | 4
| 500
|
yqb4GenP8gs
|
This is a pop R&B song in Portuguese. The song has a cheerful and fun effect to it, and the four on the floor style helps in creating the feeling of dancing. The singers are a man and woman with smooth vocals, singing a duet - harmonically.
|
['portuguese pop r&b music', 'dance song', 'four on the floor drum beat', 'duet', 'male and female vocalists', 'r&b vocals', 'cheerful', 'positive', 'happy', 'clapping hands', 'fun']
|
/m/0140xf,/m/015lz1,/m/02mscn,/m/04rlf,/m/06j6l
| 3
| 160
| 170
| false
| false
|
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] | 4
| 500
|
sIItIq_W3eE
|
The Electro song features a harmonizing passionate male vocals, with widely spread and dynamic echo effect on it, singing over groovy bass, groovy piano chords, synth keys and filtered "4 on the floor" kick pattern. It sounds exciting, easygoing and addictive - like something you would hear in a DJ set as a warm up.
|
['electro', 'groovy piano chords', 'synth keys', 'wide echoing effect', 'harmonizing passionate male vocals', 'groovy bass', 'filtered "4 on the floor" kick pattern', 'easygoing', 'exciting', 'addictive']
|
/m/04rlf,/m/06cqb
| 4
| 320
| 330
| false
| false
|
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] | 4
| 500
|
YVEqyQjyy1Q
|
A female vocalist sings this spirited pop. The tempo is fast with infectious piano melody, slick drumming, funky bass, baritone saxophone, Hammond organ accompaniment with enthusiastic vocals. The song is fresh, youthful, buoyant; energetic, high-spirited, cheeky, suggestive, playful and groovy. This is a hit Pop Song.
|
['female vocalist', 'fast tempo', 'slick drumming', 'punchy', 'buoyant', 'fun', 'fresh', 'suggestive', 'enthusiastic electric guitar', 'funky bass lines', 'piano accompaniment', 'lively baritone saxophone', 'hammond organ', 'lively', 'enthusiastic', 'youthful', 'cheeky', 'playful', 'fun']
|
/m/04rlf,/m/05rwpb
| 7
| 170
| 180
| false
| false
|
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| 501
|
End of preview. Expand
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YAML Metadata
Warning:
The task_categories "audio-to-text" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
MusicCaps Pre-Encoded Tokens for Mixture-of-Transformers (MoT)
Dataset Description
This dataset contains pre-encoded audio tokens from the MusicCaps dataset, processed through Meta's MusicGen EnCodec tokenizer for use in Mixture-of-Transformers (MoT) training.
Dataset Summary
- 5,233 music clips encoded as discrete tokens
- 4 codebook layers from MusicGen's EnCodec
- ~500 tokens per 10-second clip
- Compressed from ~12GB audio to 82MB tokens
- Ready for multimodal language model training
Intended Use
This dataset is designed for:
- Training Mixture-of-Transformers (MoT) models that combine Llama and MusicGen
- Research in multimodal language models with audio understanding
- Experiments in music captioning and generation
- Efficient training without on-the-fly audio encoding
Dataset Structure
Data Fields
ytid: YouTube video IDcaption: Human-written music descriptionaspect_list: Musical aspects mentioned in captionaudioset_positive_labels: AudioSet labelsaudio_codes: Pre-encoded tokens shape[4, ~500](4 codebooks, ~500 time steps)n_codebooks: Number of codebooks (always 4)seq_length: Sequence length of tokensstart_s: Start time in original videoend_s: End time in original videoauthor_id: Caption author IDis_balanced_subset: Whether part of balanced subsetis_audioset_eval: Whether part of AudioSet eval
Data Splits
train: 4,710 examples (90%)test: 523 examples (10%)
Pre-Encoding Details
Encoding Process
- Audio Loading: 10-second clips from MusicCaps
- Resampling: All audio resampled to 32kHz (MusicGen requirement)
- Tokenization: MusicGen EnCodec with 4 codebooks @ 50Hz
- Vocabulary: 2048 tokens per codebook
- Compression: ~12GB audio → 82MB tokens
Token Format
# Shape: [4, ~500]
# - 4 codebooks (hierarchical encoding)
# - ~500 time steps (50Hz * 10 seconds)
# Each value in range [0, 2047]
Usage
Loading the Dataset
from datasets import load_dataset
dataset = load_dataset("YOUR_USERNAME/musiccaps-mot-tokens")
# Access pre-encoded tokens
sample = dataset['train'][0]
audio_codes = np.array(sample['audio_codes']) # Shape: [4, ~500]
caption = sample['caption']
Using with MoT Training
# Shift tokens for combined vocabulary
# Llama uses tokens [0, 128255]
# Audio uses tokens [128256, 130303]
audio_tokens = audio_codes + 128256
# Interleave codebooks for sequence modeling
# [c0_t0, c1_t0, c2_t0, c3_t0, c0_t1, ...]
b, k, t = 1, audio_codes.shape[0], audio_codes.shape[1]
interleaved = audio_codes.transpose(1, 0).reshape(-1)
Training Configuration
Recommended settings for MoT adapter training:
- Model: Llama 3.2 1B + MusicGen Small
- Adapter dims: 67M parameters
- Batch size: 8-16 (on GPU)
- Learning rate: 1e-4
- Max sequence: 1024 tokens (32 text + 992 audio)
Citation
If you use this dataset, please cite:
@dataset{musiccaps_mot_tokens,
title={MusicCaps Pre-Encoded Tokens for MoT},
author={Your Name},
year={2024},
publisher={HuggingFace}
}
@article{musiccaps,
title={MusicCaps: Music Audio Captioning with Text-Audio Retrieval},
author={Agostinelli et al.},
year={2023}
}
Acknowledgments
- Google for the original MusicCaps dataset
- Meta for MusicGen and EnCodec
- The Mixture-of-Transformers paper authors
License
This dataset inherits licenses from:
- MusicCaps: [Research use]
- Encoded representations are derivative works
Please ensure compliance with original dataset licenses.
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