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audio
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prompt_id
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sound_event_count
int64
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string
system_id
string
system_name
string
num_ratings_non_expert
int64
num_ratings_expert
int64
num_ratings_overall
int64
non_expert_production_complexity_mean
float64
non_expert_production_complexity_raw_scores
list
non_expert_content_enjoyment_mean
float64
non_expert_content_enjoyment_raw_scores
list
non_expert_production_quality_mean
float64
non_expert_production_quality_raw_scores
list
non_expert_textual_alignment_mean
float64
non_expert_textual_alignment_raw_scores
list
non_expert_content_usefulness_mean
float64
non_expert_content_usefulness_raw_scores
list
expert_production_complexity_mean
float64
expert_production_complexity_raw_scores
list
expert_content_enjoyment_mean
float64
expert_content_enjoyment_raw_scores
list
expert_production_quality_mean
float64
expert_production_quality_raw_scores
list
expert_textual_alignment_mean
float64
expert_textual_alignment_raw_scores
list
expert_content_usefulness_mean
float64
expert_content_usefulness_raw_scores
list
S003_P1977.wav
P1977
Boy talking with a stream running in the background.
Natural & outdoor scenes
2
Human sounds
S003
AudioLDM 2-large
3
3
6
3.667
[ 3, 5, 3 ]
3.667
[ 4, 5, 2 ]
6
[ 6, 6, 6 ]
5.333
[ 5, 7, 4 ]
4.333
[ 4, 6, 3 ]
4
[ 4, 4, 4 ]
5
[ 5, 6, 4 ]
6.667
[ 8, 7, 5 ]
7.333
[ 9, 6, 7 ]
6
[ 6, 6, 6 ]
S004_P2368.wav
P2368
A child reading a fairy tale in Chinese
Daily life scenes
1
Human sounds
S004
Auffusion-full
3
3
6
2.333
[ 2, 3, 2 ]
2.667
[ 3, 3, 2 ]
5
[ 4, 5, 6 ]
4.333
[ 3, 4, 6 ]
3.667
[ 2, 3, 6 ]
2.667
[ 3, 3, 2 ]
3.333
[ 4, 4, 2 ]
6.333
[ 6, 8, 5 ]
7
[ 7, 7, 7 ]
4.333
[ 4, 4, 5 ]
S008_P2128.wav
P2128
a bus message speaks spoken by a man
Transportation & travel scenes
1
Sounds of things
S008
Stable Audio Open 1.0
3
3
6
2.333
[ 2, 3, 2 ]
1.667
[ 1, 3, 1 ]
2
[ 2, 3, 1 ]
2.333
[ 2, 3, 2 ]
1.667
[ 1, 3, 1 ]
1.333
[ 1, 1, 2 ]
1
[ 1, 1, 1 ]
2.333
[ 2, 2, 3 ]
2.333
[ 2, 2, 3 ]
1.667
[ 1, 1, 3 ]
S003_P0213.wav
P0213
Boy talking with a stream running in the background
Natural & outdoor scenes
2
Human sounds
S003
AudioLDM 2-large
3
3
6
4
[ 4, 4, 4 ]
5.333
[ 6, 4, 6 ]
6
[ 6, 6, 6 ]
6.667
[ 7, 7, 6 ]
6.333
[ 7, 6, 6 ]
3.667
[ 4, 4, 3 ]
3.667
[ 5, 4, 2 ]
6.667
[ 7, 8, 5 ]
7
[ 7, 8, 6 ]
5
[ 5, 5, 5 ]
S003_P1734.wav
P1734
Television buzzes with hiss, and beatboxing fills the gaps.
Daily life scenes
2
Human sounds
S003
AudioLDM 2-large
3
3
6
3.333
[ 2, 3, 5 ]
3
[ 2, 3, 4 ]
4.333
[ 3, 4, 6 ]
3.667
[ 2, 4, 5 ]
3
[ 1, 3, 5 ]
2.333
[ 2, 2, 3 ]
2
[ 1, 2, 3 ]
4
[ 4, 4, 4 ]
5.667
[ 7, 4, 6 ]
3
[ 2, 2, 5 ]
S008_P0558.wav
P0558
A mop sloshes in a bucket while wringing mechanisms crank repeatedly.
Daily life scenes
2
Sounds of things
S008
Stable Audio Open 1.0
3
3
6
3.333
[ 2, 3, 5 ]
4
[ 3, 4, 5 ]
5
[ 3, 6, 6 ]
6
[ 3, 6, 9 ]
4.333
[ 2, 5, 6 ]
2.333
[ 2, 3, 2 ]
2
[ 2, 3, 1 ]
5
[ 6, 6, 3 ]
6.333
[ 7, 7, 5 ]
3.333
[ 2, 5, 3 ]
S003_P0166.wav
P0166
A man talking as insects buzz followed by footsteps walking on grass
Natural & outdoor scenes
3
Channel, environment and background
S003
AudioLDM 2-large
3
3
6
4
[ 4, 4, 4 ]
5
[ 6, 4, 5 ]
6
[ 6, 6, 6 ]
5.667
[ 5, 7, 5 ]
5.667
[ 6, 6, 5 ]
3.333
[ 3, 4, 3 ]
3.667
[ 4, 4, 3 ]
6.667
[ 7, 8, 5 ]
7.333
[ 7, 8, 7 ]
5
[ 5, 5, 5 ]
S010_P0436.wav
P0436
A complex layering emerges where the edgy spray can hiss starts the beat, an electronic pulse hums in the background, and layered vocal chants echo from the sidelines, at times overlapping and at times following each other.
Art & cultural scenes
3
Music
S010
Tango-2-full
3
3
6
4
[ 4, 3, 5 ]
4
[ 5, 2, 5 ]
5.667
[ 6, 5, 6 ]
4.333
[ 6, 3, 4 ]
4.333
[ 5, 2, 6 ]
3.667
[ 3, 4, 4 ]
4.333
[ 5, 5, 3 ]
6.667
[ 7, 8, 5 ]
7
[ 7, 8, 6 ]
5
[ 5, 5, 5 ]
S010_P1856.wav
P1856
Small boy speaking and creating animal sounds.
Daily life scenes
2
Human sounds
S010
Tango-2-full
3
3
6
3.333
[ 3, 4, 3 ]
3.667
[ 4, 4, 3 ]
5.667
[ 6, 5, 6 ]
5.333
[ 6, 5, 5 ]
4.667
[ 5, 5, 4 ]
3.333
[ 4, 3, 3 ]
4.333
[ 5, 5, 3 ]
6.667
[ 7, 8, 5 ]
8
[ 9, 8, 7 ]
5
[ 5, 5, 5 ]
S001_P1595.wav
P1595
A hammer strikes mid-spoken sound effects.
Work & production scenes
2
Sounds of things
S001
AudioGen-medium
3
3
6
3.667
[ 4, 4, 3 ]
4.333
[ 5, 3, 5 ]
6.333
[ 7, 6, 6 ]
6.333
[ 6, 6, 7 ]
5.333
[ 7, 4, 5 ]
3.333
[ 4, 3, 3 ]
1.333
[ 2, 1, 1 ]
2.667
[ 3, 3, 2 ]
3.333
[ 4, 3, 3 ]
2.333
[ 3, 2, 2 ]
S009_P1970.wav
P1970
A dog barking as a man is talking while birds chirp and wind blows into a microphone.
Natural & outdoor scenes
4
Channel, environment and background
S009
Tango-full
3
3
6
3.667
[ 3, 5, 3 ]
3.667
[ 4, 5, 2 ]
5.667
[ 6, 6, 5 ]
5.667
[ 6, 7, 4 ]
4.333
[ 4, 6, 3 ]
3.333
[ 3, 4, 3 ]
4.333
[ 4, 6, 3 ]
6.333
[ 7, 7, 5 ]
7.667
[ 8, 9, 6 ]
5.333
[ 5, 6, 5 ]
S005_P1740.wav
P1740
An electric skateboard zooms past, blending with Christian music and a lullaby.
Art & cultural scenes
3
Music
S005
MAGNeT-medium
3
3
6
3
[ 4, 2, 3 ]
3.667
[ 4, 2, 5 ]
4.667
[ 4, 4, 6 ]
5
[ 4, 4, 7 ]
4
[ 4, 2, 6 ]
4
[ 3, 5, 4 ]
3
[ 2, 3, 4 ]
4.333
[ 3, 5, 5 ]
5.667
[ 4, 7, 6 ]
4
[ 3, 4, 5 ]
S007_P0896.wav
P0896
The centrifuge spins with a rhythmic whirr while a scientist types rapidly on a keyboard.
Work & production scenes
2
Sounds of things
S007
Make-An-Audio-2
3
3
6
4
[ 3, 5, 4 ]
4
[ 3, 5, 4 ]
5.667
[ 5, 6, 6 ]
6
[ 4, 7, 7 ]
5.333
[ 4, 6, 6 ]
2
[ 2, 2, 2 ]
2.667
[ 3, 3, 2 ]
6.333
[ 7, 7, 5 ]
7
[ 7, 8, 6 ]
3.667
[ 3, 3, 5 ]
S003_P0890.wav
P0890
Shift change sequence: machines power down, locker doors slam, forklifts park, handover discussions, security gates clang.
Work & production scenes
5
Channel, environment and background
S003
AudioLDM 2-large
3
3
6
3.333
[ 2, 3, 5 ]
3.667
[ 3, 3, 5 ]
6
[ 5, 6, 7 ]
5.667
[ 6, 4, 7 ]
5
[ 4, 4, 7 ]
3.667
[ 4, 3, 4 ]
3.667
[ 4, 4, 3 ]
7.333
[ 8, 8, 6 ]
8
[ 8, 9, 7 ]
5
[ 4, 5, 6 ]
S002_P1863.wav
P1863
A smack then a man speaking followed by high frequency trembling.
Work & production scenes
3
Channel, environment and background
S002
AudioLDM-l-full
3
3
6
3.333
[ 3, 4, 3 ]
3
[ 3, 4, 2 ]
5
[ 6, 4, 5 ]
4.333
[ 5, 4, 4 ]
3.667
[ 4, 4, 3 ]
2.333
[ 3, 2, 2 ]
2.333
[ 3, 3, 1 ]
5
[ 6, 5, 4 ]
5.667
[ 7, 5, 5 ]
3
[ 3, 2, 4 ]
S005_P0493.wav
P0493
The hum of a hair dryer blowing hot air, gradually increasing in intensity.
Daily life scenes
1
Sounds of things
S005
MAGNeT-medium
3
3
6
2
[ 2, 2, 2 ]
3
[ 5, 2, 2 ]
2.667
[ 1, 4, 3 ]
3
[ 3, 1, 5 ]
2.333
[ 2, 3, 2 ]
2.333
[ 2, 2, 3 ]
1.667
[ 1, 1, 3 ]
4.333
[ 4, 5, 4 ]
4.333
[ 2, 6, 5 ]
2.333
[ 1, 1, 5 ]
S008_P1548.wav
P1548
A fan hums over raw a cappella harmonies in silence.
Art & cultural scenes
2
Channel, environment and background
S008
Stable Audio Open 1.0
3
3
6
2.333
[ 2, 3, 2 ]
2.333
[ 2, 3, 2 ]
3.667
[ 3, 6, 2 ]
3.333
[ 3, 5, 2 ]
3
[ 3, 4, 2 ]
2.333
[ 2, 3, 2 ]
3
[ 3, 4, 2 ]
5.333
[ 5, 7, 4 ]
7
[ 6, 9, 6 ]
3.667
[ 3, 4, 4 ]
S004_P1259.wav
P1259
The engines roar, then the landing gear retracts with a thud, followed by the flaps adjusting with a mechanical whirr.
Transportation & travel scenes
3
Sounds of things
S004
Auffusion-full
3
3
6
3.667
[ 3, 3, 5 ]
4.333
[ 5, 3, 5 ]
5.667
[ 6, 6, 5 ]
5.333
[ 4, 5, 7 ]
4.667
[ 5, 4, 5 ]
3
[ 3, 3, 3 ]
3.667
[ 5, 4, 2 ]
7
[ 8, 8, 5 ]
7
[ 7, 8, 6 ]
4.667
[ 5, 4, 5 ]
S007_P1544.wav
P1544
Paper tears beside high-pitched alpine yodels.
Art & cultural scenes
2
Channel, environment and background
S007
Make-An-Audio-2
3
3
6
3.333
[ 3, 5, 2 ]
3.667
[ 4, 5, 2 ]
4.667
[ 6, 6, 2 ]
3.333
[ 6, 2, 2 ]
4
[ 5, 6, 1 ]
2.667
[ 3, 2, 3 ]
2.333
[ 3, 2, 2 ]
6
[ 7, 6, 5 ]
7
[ 8, 7, 6 ]
3.667
[ 3, 3, 5 ]
S010_P1524.wav
P1524
Futuristic Tango Rhythm structure
Art & cultural scenes
1
Music
S010
Tango-2-full
3
3
6
3
[ 2, 3, 4 ]
3.333
[ 3, 3, 4 ]
5.333
[ 4, 6, 6 ]
6
[ 5, 6, 7 ]
3.667
[ 4, 3, 4 ]
2.667
[ 3, 3, 2 ]
3.333
[ 5, 3, 2 ]
6.333
[ 7, 7, 5 ]
7.667
[ 8, 8, 7 ]
4.333
[ 5, 3, 5 ]
S006_P2102.wav
P2102
an automated male voice speaks on a telephone
Work & production scenes
1
Channel, environment and background
S006
Make-An-Audio
3
3
6
2.333
[ 2, 3, 2 ]
4.667
[ 6, 3, 5 ]
7.333
[ 9, 7, 6 ]
7.333
[ 9, 7, 6 ]
6.333
[ 9, 4, 6 ]
4
[ 3, 5, 4 ]
2.333
[ 2, 2, 3 ]
6
[ 7, 5, 6 ]
8
[ 8, 7, 9 ]
4.667
[ 4, 4, 6 ]
S009_P1548.wav
P1548
A fan hums over raw a cappella harmonies in silence.
Art & cultural scenes
2
Channel, environment and background
S009
Tango-full
3
3
6
3.333
[ 3, 3, 4 ]
3
[ 2, 3, 4 ]
5.333
[ 4, 6, 6 ]
4
[ 2, 5, 5 ]
3.667
[ 3, 4, 4 ]
3
[ 3, 3, 3 ]
2.667
[ 3, 3, 2 ]
5.333
[ 5, 7, 4 ]
6.333
[ 6, 8, 5 ]
3.667
[ 3, 3, 5 ]
S001_P0141.wav
P0141
A woman talks and a baby babbles
Daily life scenes
2
Human sounds
S001
AudioGen-medium
3
3
6
2.667
[ 3, 3, 2 ]
3.667
[ 3, 3, 5 ]
5
[ 5, 5, 5 ]
7.333
[ 9, 6, 7 ]
4.333
[ 5, 4, 4 ]
4.667
[ 5, 5, 4 ]
1.333
[ 1, 1, 2 ]
3
[ 3, 3, 3 ]
4
[ 4, 4, 4 ]
3.333
[ 4, 3, 3 ]
S008_P1524.wav
P1524
Futuristic Tango Rhythm structure
Art & cultural scenes
1
Music
S008
Stable Audio Open 1.0
3
3
6
3.333
[ 2, 3, 5 ]
4
[ 3, 3, 6 ]
6.667
[ 7, 6, 7 ]
5.667
[ 3, 6, 8 ]
5
[ 4, 4, 7 ]
2
[ 2, 2, 2 ]
2.333
[ 3, 2, 2 ]
5.667
[ 5, 7, 5 ]
6.333
[ 5, 7, 7 ]
3.333
[ 3, 2, 5 ]
S002_P1915.wav
P1915
Quiet, continous rubbing against fabric.
Daily life scenes
1
Source-ambiguous sounds
S002
AudioLDM-l-full
3
3
6
3.333
[ 3, 4, 3 ]
3.333
[ 4, 4, 2 ]
5.667
[ 6, 5, 6 ]
6
[ 5, 7, 6 ]
4
[ 4, 5, 3 ]
2
[ 2, 2, 2 ]
2.333
[ 2, 3, 2 ]
5.333
[ 6, 6, 4 ]
6.667
[ 8, 7, 5 ]
3
[ 2, 3, 4 ]
S010_P1851.wav
P1851
Honking of horns with clattering of passing trains.
Transportation & travel scenes
2
Sounds of things
S010
Tango-2-full
3
3
6
3.667
[ 3, 5, 3 ]
4
[ 4, 5, 3 ]
5.667
[ 6, 6, 5 ]
6
[ 6, 7, 5 ]
4.667
[ 5, 6, 3 ]
3
[ 3, 3, 3 ]
4.333
[ 5, 6, 2 ]
7.333
[ 8, 8, 6 ]
8.333
[ 9, 9, 7 ]
6
[ 6, 6, 6 ]
S004_P0768.wav
P0768
Mountain goats clatter on rocks, river rushes below, summit flag flaps, camera clicks, and gusty winds.
Natural & outdoor scenes
5
Natural sounds
S004
Auffusion-full
3
3
6
3.667
[ 3, 3, 5 ]
4
[ 4, 3, 5 ]
5.333
[ 5, 5, 6 ]
5.333
[ 4, 5, 7 ]
5
[ 5, 4, 6 ]
2.333
[ 2, 2, 3 ]
3.333
[ 4, 3, 3 ]
6.667
[ 7, 8, 5 ]
7.667
[ 8, 8, 7 ]
4.333
[ 5, 3, 5 ]
S009_P2020.wav
P2020
As a man speaks, a dog barks and birds chirp, with the wind blowing into a microphone.
Natural & outdoor scenes
4
Channel, environment and background
S009
Tango-full
3
3
6
3.333
[ 3, 4, 3 ]
3.333
[ 4, 4, 2 ]
5.667
[ 6, 5, 6 ]
5.333
[ 5, 7, 4 ]
4
[ 4, 5, 3 ]
4
[ 4, 4, 4 ]
4.333
[ 4, 5, 4 ]
6.333
[ 7, 7, 5 ]
7.667
[ 8, 8, 7 ]
4.333
[ 4, 4, 5 ]
S001_P1305.wav
P1305
A manhole cover clangs, steam vents hiss, cellphone rings from a bench, and busker drums on buckets.
Transportation & travel scenes
4
Channel, environment and background
S001
AudioGen-medium
3
3
6
5.333
[ 3, 6, 7 ]
2.667
[ 1, 2, 5 ]
4.667
[ 4, 4, 6 ]
4.333
[ 3, 4, 6 ]
3.333
[ 2, 3, 5 ]
4
[ 4, 2, 6 ]
3.333
[ 3, 2, 5 ]
5.333
[ 4, 6, 6 ]
6.667
[ 6, 7, 7 ]
4
[ 3, 3, 6 ]
S005_P0213.wav
P0213
Boy talking with a stream running in the background
Natural & outdoor scenes
2
Human sounds
S005
MAGNeT-medium
3
3
6
3.333
[ 3, 4, 3 ]
3.333
[ 3, 4, 3 ]
3.333
[ 3, 4, 3 ]
2.667
[ 2, 4, 2 ]
3
[ 3, 4, 2 ]
3
[ 3, 3, 3 ]
3
[ 3, 3, 3 ]
4.667
[ 5, 5, 4 ]
6.667
[ 7, 7, 6 ]
3.333
[ 3, 2, 5 ]
S001_P0719.wav
P0719
A fishing line whirs out, plops in water, then reel cranks slowly.
Natural & outdoor scenes
3
Sounds of things
S001
AudioGen-medium
3
3
6
3.333
[ 3, 4, 3 ]
1.333
[ 1, 2, 1 ]
2.333
[ 2, 2, 3 ]
2.333
[ 3, 2, 2 ]
1.333
[ 1, 2, 1 ]
1.667
[ 1, 2, 2 ]
1.667
[ 1, 2, 2 ]
3
[ 1, 6, 2 ]
5.333
[ 4, 7, 5 ]
1.667
[ 1, 2, 2 ]
S005_P2230.wav
P2230
uproarious laughter is coming from a few middle-aged individuals
Daily life scenes
1
Human sounds
S005
MAGNeT-medium
3
3
6
3.333
[ 5, 3, 2 ]
4
[ 5, 3, 4 ]
5.667
[ 6, 5, 6 ]
6.667
[ 8, 6, 6 ]
4
[ 4, 3, 5 ]
3.333
[ 3, 4, 3 ]
2.333
[ 2, 2, 3 ]
5
[ 7, 4, 4 ]
7
[ 8, 6, 7 ]
4
[ 4, 4, 4 ]
S010_P0050.wav
P0050
A child laughs and speaks as an animal bleats
Daily life scenes
3
Animal
S010
Tango-2-full
3
3
6
4
[ 4, 3, 5 ]
4.333
[ 4, 4, 5 ]
6
[ 6, 6, 6 ]
5.333
[ 5, 6, 5 ]
4.667
[ 4, 4, 6 ]
3.667
[ 4, 4, 3 ]
4.333
[ 5, 5, 3 ]
6.667
[ 7, 8, 5 ]
7.333
[ 8, 7, 7 ]
5
[ 5, 5, 5 ]
S008_P1504.wav
P1504
Holographic projection activation sound
Art & cultural scenes
1
Sounds of things
S008
Stable Audio Open 1.0
3
3
6
2.667
[ 2, 3, 3 ]
3
[ 3, 3, 3 ]
3.667
[ 3, 5, 3 ]
4.667
[ 2, 5, 7 ]
3
[ 2, 4, 3 ]
2.667
[ 3, 2, 3 ]
3.333
[ 5, 3, 2 ]
6
[ 6, 7, 5 ]
7.667
[ 7, 9, 7 ]
4.333
[ 4, 4, 5 ]
S009_P0275.wav
P0275
A child is talking and walking across rocks
Natural & outdoor scenes
2
Human sounds
S009
Tango-full
3
3
6
3.667
[ 3, 3, 5 ]
4.333
[ 5, 3, 5 ]
5.667
[ 6, 5, 6 ]
4.667
[ 4, 5, 5 ]
4.667
[ 5, 3, 6 ]
3.333
[ 4, 3, 3 ]
4
[ 5, 4, 3 ]
6.667
[ 7, 8, 5 ]
7.667
[ 8, 8, 7 ]
5
[ 5, 5, 5 ]
S006_P0961.wav
P0961
A zipper opens on a backpack, papers shuffle, then a laptop boots up.
Work & production scenes
3
Sounds of things
S006
Make-An-Audio
3
3
6
3.333
[ 3, 4, 3 ]
3.667
[ 3, 6, 2 ]
4.333
[ 2, 6, 5 ]
4.333
[ 3, 5, 5 ]
3.667
[ 2, 6, 3 ]
2.667
[ 3, 2, 3 ]
2.333
[ 2, 2, 3 ]
6.333
[ 6, 7, 6 ]
6.333
[ 5, 8, 6 ]
3.667
[ 3, 2, 6 ]
S002_P2372.wav
P2372
A radio host speaking in Chinese
Art & cultural scenes
1
Channel, environment and background
S002
AudioLDM-l-full
3
3
6
2.667
[ 3, 3, 2 ]
3.333
[ 5, 3, 2 ]
4.333
[ 2, 6, 5 ]
6
[ 6, 6, 6 ]
3.333
[ 2, 3, 5 ]
2.667
[ 3, 3, 2 ]
2.667
[ 1, 5, 2 ]
5.333
[ 5, 7, 4 ]
6
[ 5, 7, 6 ]
4
[ 3, 5, 4 ]
S004_P1274.wav
P1274
The hiss of pressurized doors sealing as the train prepares to depart.
Transportation & travel scenes
1
Sounds of things
S004
Auffusion-full
3
3
6
4
[ 4, 3, 5 ]
4
[ 4, 3, 5 ]
5.667
[ 6, 6, 5 ]
5.667
[ 5, 5, 7 ]
4.333
[ 4, 4, 5 ]
2.333
[ 2, 2, 3 ]
3
[ 3, 4, 2 ]
6
[ 7, 7, 4 ]
6.667
[ 7, 8, 5 ]
4
[ 4, 4, 4 ]
S003_P0336.wav
P0336
A female narrating very clearly
Art & cultural scenes
1
Human sounds
S003
AudioLDM 2-large
3
3
6
4
[ 4, 4, 4 ]
5.667
[ 6, 5, 6 ]
6.333
[ 6, 7, 6 ]
7
[ 7, 7, 7 ]
6.667
[ 7, 7, 6 ]
3
[ 3, 3, 3 ]
5
[ 6, 6, 3 ]
7
[ 8, 8, 5 ]
8
[ 9, 9, 6 ]
5.667
[ 6, 6, 5 ]
S007_P2359.wav
P2359
A person praying softly in Chinese
Daily life scenes
1
Human sounds
S007
Make-An-Audio-2
3
3
6
2.333
[ 1, 4, 2 ]
2.667
[ 2, 4, 2 ]
3
[ 1, 6, 2 ]
3
[ 1, 7, 1 ]
3
[ 1, 6, 2 ]
2.667
[ 3, 3, 2 ]
3.667
[ 5, 4, 2 ]
6.667
[ 7, 8, 5 ]
5.667
[ 6, 5, 6 ]
5.333
[ 6, 5, 5 ]
S007_P2020.wav
P2020
As a man speaks, a dog barks and birds chirp, with the wind blowing into a microphone.
Natural & outdoor scenes
4
Channel, environment and background
S007
Make-An-Audio-2
3
3
6
4
[ 3, 5, 4 ]
3.667
[ 3, 5, 3 ]
5
[ 6, 6, 3 ]
5
[ 5, 7, 3 ]
4.333
[ 4, 6, 3 ]
4
[ 4, 3, 5 ]
5.667
[ 6, 6, 5 ]
7.333
[ 8, 8, 6 ]
8.333
[ 9, 9, 7 ]
6
[ 6, 6, 6 ]
S002_P2389.wav
P2389
A podcast host speaking in Arabic
Art & cultural scenes
1
Channel, environment and background
S002
AudioLDM-l-full
3
3
6
2.667
[ 2, 3, 3 ]
3.333
[ 4, 3, 3 ]
5.667
[ 5, 6, 6 ]
7.667
[ 8, 6, 9 ]
5
[ 6, 3, 6 ]
2.667
[ 3, 3, 2 ]
3.667
[ 3, 6, 2 ]
6.333
[ 5, 8, 6 ]
8.333
[ 8, 9, 8 ]
5.667
[ 5, 6, 6 ]
S006_P1901.wav
P1901
Honking of horns witht rattling of passing trains.
Transportation & travel scenes
2
Sounds of things
S006
Make-An-Audio
3
3
6
4
[ 4, 3, 5 ]
4.333
[ 4, 4, 5 ]
5.667
[ 5, 6, 6 ]
5
[ 5, 6, 4 ]
5
[ 4, 5, 6 ]
3.333
[ 3, 3, 4 ]
3.667
[ 4, 4, 3 ]
7
[ 8, 8, 5 ]
7
[ 7, 8, 6 ]
4.333
[ 4, 4, 5 ]
S006_P2109.wav
P2109
a boy makes noises briefly
Daily life scenes
1
Human sounds
S006
Make-An-Audio
3
3
6
2.667
[ 3, 3, 2 ]
4
[ 4, 3, 5 ]
6.667
[ 8, 6, 6 ]
7
[ 9, 6, 6 ]
5.333
[ 7, 4, 5 ]
3.667
[ 3, 4, 4 ]
3
[ 2, 3, 4 ]
6.333
[ 7, 5, 7 ]
8.333
[ 9, 7, 9 ]
5.333
[ 5, 5, 6 ]
S009_P1408.wav
P1408
The sizzle of takoyaki balls cooking overlaps with a tour guide's amplified narration. A wheelchair ramp clanks down, followed by a spilled drink's splash and a pigeon's sudden wing flap.
Transportation & travel scenes
5
Channel, environment and background
S009
Tango-full
3
3
6
5
[ 4, 7, 4 ]
4.333
[ 3, 7, 3 ]
6.333
[ 6, 7, 6 ]
5.667
[ 4, 8, 5 ]
5.333
[ 5, 7, 4 ]
3.667
[ 4, 2, 5 ]
2.667
[ 3, 1, 4 ]
5
[ 7, 3, 5 ]
5.333
[ 5, 3, 8 ]
4
[ 3, 3, 6 ]
S001_P2070.wav
P2070
A dog barking as a man is talking, while birds chirp and wind blows into a microphone.
Natural & outdoor scenes
4
Channel, environment and background
S001
AudioGen-medium
3
3
6
3.333
[ 2, 3, 5 ]
3.667
[ 3, 3, 5 ]
5.667
[ 5, 5, 7 ]
4.333
[ 4, 5, 4 ]
4
[ 2, 3, 7 ]
5
[ 4, 4, 7 ]
6
[ 5, 5, 8 ]
7.333
[ 7, 8, 7 ]
8.333
[ 8, 9, 8 ]
5.667
[ 4, 5, 8 ]
S004_P0309.wav
P0309
Birds tweet then slow down
Natural & outdoor scenes
1
Animal
S004
Auffusion-full
3
3
6
3.667
[ 3, 3, 5 ]
4.333
[ 4, 4, 5 ]
6.667
[ 7, 6, 7 ]
6.667
[ 7, 6, 7 ]
6
[ 7, 4, 7 ]
3.333
[ 3, 3, 4 ]
6
[ 6, 6, 6 ]
8
[ 8, 9, 7 ]
8.667
[ 9, 9, 8 ]
6.667
[ 6, 7, 7 ]
S009_P0360.wav
P0360
Man speaking, wind blowing hard through trees and snow
Natural & outdoor scenes
2
Channel, environment and background
S009
Tango-full
3
3
6
3.333
[ 3, 3, 4 ]
4.333
[ 5, 4, 4 ]
5.333
[ 6, 6, 4 ]
6
[ 5, 6, 7 ]
4.333
[ 5, 4, 4 ]
3
[ 3, 3, 3 ]
3.667
[ 4, 4, 3 ]
6.333
[ 7, 7, 5 ]
7.333
[ 8, 8, 6 ]
5
[ 5, 5, 5 ]
S005_P1152.wav
P1152
The rhythmic shaking of a spray paint can before use.
Art & cultural scenes
1
Sounds of things
S005
MAGNeT-medium
3
3
6
2.333
[ 2, 2, 3 ]
3.667
[ 6, 3, 2 ]
2.333
[ 1, 3, 3 ]
3
[ 3, 3, 3 ]
1.667
[ 2, 1, 2 ]
2.333
[ 2, 2, 3 ]
2
[ 2, 2, 2 ]
4.333
[ 3, 6, 4 ]
6
[ 3, 8, 7 ]
2.333
[ 2, 1, 4 ]
S006_P1166.wav
P1166
Ballerina's pointe shoes tapping, street musician's violin, car horn, money belt jingling.
Art & cultural scenes
4
Sounds of things
S006
Make-An-Audio
3
3
6
3.667
[ 3, 4, 4 ]
4.333
[ 4, 6, 3 ]
5.667
[ 6, 6, 5 ]
4
[ 3, 4, 5 ]
4
[ 2, 6, 4 ]
3
[ 4, 2, 3 ]
3
[ 3, 3, 3 ]
6.667
[ 7, 8, 5 ]
6.333
[ 4, 9, 6 ]
4.333
[ 4, 4, 5 ]
S009_P0719.wav
P0719
A fishing line whirs out, plops in water, then reel cranks slowly.
Natural & outdoor scenes
3
Sounds of things
S009
Tango-full
3
3
6
4
[ 4, 4, 4 ]
5.333
[ 5, 7, 4 ]
6.667
[ 6, 8, 6 ]
6.667
[ 7, 7, 6 ]
5
[ 3, 7, 5 ]
2.333
[ 3, 2, 2 ]
1.667
[ 2, 1, 2 ]
6.333
[ 7, 7, 5 ]
6.667
[ 6, 6, 8 ]
3.333
[ 4, 1, 5 ]
S009_P0050.wav
P0050
A child laughs and speaks as an animal bleats
Daily life scenes
3
Animal
S009
Tango-full
3
3
6
3.667
[ 3, 3, 5 ]
4.667
[ 5, 4, 5 ]
6.333
[ 6, 6, 7 ]
5
[ 4, 6, 5 ]
5.667
[ 5, 5, 7 ]
3
[ 3, 3, 3 ]
4
[ 5, 4, 3 ]
6.667
[ 7, 8, 5 ]
8
[ 8, 9, 7 ]
5.333
[ 6, 5, 5 ]
S004_P0436.wav
P0436
A complex layering emerges where the edgy spray can hiss starts the beat, an electronic pulse hums in the background, and layered vocal chants echo from the sidelines, at times overlapping and at times following each other.
Art & cultural scenes
3
Music
S004
Auffusion-full
3
3
6
3.333
[ 2, 3, 5 ]
4
[ 4, 3, 5 ]
5.667
[ 4, 6, 7 ]
6.667
[ 9, 4, 7 ]
5.667
[ 7, 3, 7 ]
2.333
[ 2, 3, 2 ]
3.667
[ 4, 5, 2 ]
7
[ 8, 9, 4 ]
8
[ 9, 9, 6 ]
4.333
[ 4, 5, 4 ]
S010_P1704.wav
P1704
A sharp whip crack snaps into a gasping duck call.
Natural & outdoor scenes
2
Sounds of things
S010
Tango-2-full
3
3
6
3.333
[ 2, 3, 5 ]
3.667
[ 3, 3, 5 ]
5.667
[ 4, 6, 7 ]
6
[ 5, 6, 7 ]
5
[ 4, 4, 7 ]
3
[ 3, 3, 3 ]
4.667
[ 6, 4, 4 ]
6.667
[ 7, 7, 6 ]
8.333
[ 9, 8, 8 ]
6
[ 7, 5, 6 ]
S010_P2272.wav
P2272
a young person singing at a high pitch
Art & cultural scenes
1
Human sounds
S010
Tango-2-full
3
3
6
3.667
[ 4, 3, 4 ]
3.667
[ 3, 4, 4 ]
6.333
[ 7, 6, 6 ]
6.667
[ 7, 6, 7 ]
4.667
[ 5, 5, 4 ]
3
[ 3, 3, 3 ]
4.667
[ 5, 5, 4 ]
6.333
[ 7, 7, 5 ]
8
[ 9, 8, 7 ]
5.333
[ 6, 5, 5 ]
S010_P0877.wav
P0877
A forklift reverses with beeping then lifts a pallet with hydraulic whine.
Work & production scenes
2
Sounds of things
S010
Tango-2-full
3
3
6
4.667
[ 4, 6, 4 ]
4.333
[ 3, 7, 3 ]
5
[ 4, 7, 4 ]
5.667
[ 4, 8, 5 ]
5
[ 4, 7, 4 ]
2.667
[ 4, 1, 3 ]
3
[ 5, 1, 3 ]
5.667
[ 8, 3, 6 ]
8
[ 9, 7, 8 ]
5
[ 7, 2, 6 ]
S001_P2157.wav
P2157
A girl speaking in foreign language
Daily life scenes
1
Human sounds
S001
AudioGen-medium
3
3
6
3
[ 3, 3, 3 ]
3.333
[ 4, 3, 3 ]
5
[ 6, 4, 5 ]
6.667
[ 9, 5, 6 ]
4.333
[ 6, 4, 3 ]
3.667
[ 4, 4, 3 ]
1.667
[ 2, 2, 1 ]
3.333
[ 3, 4, 3 ]
4.333
[ 5, 4, 4 ]
3.667
[ 4, 4, 3 ]
S020_N043.wav
N043
Musical whistling with wind blowing.
Natural & outdoor scenes
2
Music
S020
ConsistencyTTA
3
3
6
4.333
[ 3, 4, 6 ]
5.333
[ 3, 6, 7 ]
6.667
[ 6, 7, 7 ]
6.667
[ 6, 7, 7 ]
5.667
[ 4, 6, 7 ]
3
[ 3, 3, 3 ]
3.333
[ 3, 4, 3 ]
6.333
[ 7, 7, 5 ]
7.667
[ 8, 9, 6 ]
5
[ 4, 6, 5 ]
S010_P2107.wav
P2107
A boy speaking in foreign language
Daily life scenes
1
Human sounds
S010
Tango-2-full
3
3
6
3.333
[ 3, 4, 3 ]
4
[ 4, 4, 4 ]
5.667
[ 6, 5, 6 ]
5.333
[ 5, 5, 6 ]
4.667
[ 4, 5, 5 ]
2.667
[ 3, 3, 2 ]
4
[ 5, 5, 2 ]
5.667
[ 7, 6, 4 ]
8.333
[ 9, 9, 7 ]
4.333
[ 5, 4, 4 ]
S010_P1336.wav
P1336
Bird chirping in trees while tires splash through puddles.
Transportation & travel scenes
2
Animal
S010
Tango-2-full
3
3
6
4
[ 4, 4, 4 ]
6.333
[ 7, 7, 5 ]
7.333
[ 7, 8, 7 ]
7.333
[ 7, 8, 7 ]
7
[ 7, 8, 6 ]
3.667
[ 3, 3, 5 ]
5.667
[ 7, 4, 6 ]
8.333
[ 10, 8, 7 ]
9.333
[ 10, 9, 9 ]
6.667
[ 8, 5, 7 ]
S005_P2148.wav
P2148
a boy giving a speech
Art & cultural scenes
1
Human sounds
S005
MAGNeT-medium
3
3
6
3.333
[ 3, 4, 3 ]
2.667
[ 2, 4, 2 ]
3.333
[ 3, 4, 3 ]
5
[ 3, 7, 5 ]
2.333
[ 2, 4, 1 ]
3
[ 3, 3, 3 ]
2.667
[ 3, 3, 2 ]
4.333
[ 5, 4, 4 ]
7
[ 8, 8, 5 ]
3
[ 2, 3, 4 ]
S001_P2153.wav
P2153
girls sing a song
Art & cultural scenes
1
Human sounds
S001
AudioGen-medium
3
3
6
2.667
[ 2, 3, 3 ]
4.667
[ 4, 4, 6 ]
6.333
[ 6, 6, 7 ]
8
[ 9, 6, 9 ]
6
[ 7, 5, 6 ]
4.333
[ 4, 5, 4 ]
2.333
[ 3, 2, 2 ]
3.667
[ 4, 4, 3 ]
4.667
[ 5, 5, 4 ]
4
[ 4, 4, 4 ]
S006_P0367.wav
P0367
A man speaking and typing
Work & production scenes
2
Human sounds
S006
Make-An-Audio
3
3
6
3.667
[ 5, 3, 3 ]
5.333
[ 7, 3, 6 ]
7
[ 8, 6, 7 ]
8
[ 9, 6, 9 ]
6
[ 7, 4, 7 ]
3.667
[ 3, 4, 4 ]
3
[ 3, 3, 3 ]
6.333
[ 7, 5, 7 ]
7.667
[ 8, 7, 8 ]
4.667
[ 4, 5, 5 ]
S008_P2249.wav
P2249
an adult speaking
Daily life scenes
1
Human sounds
S008
Stable Audio Open 1.0
3
3
6
1.667
[ 1, 1, 3 ]
1.667
[ 1, 1, 3 ]
2
[ 2, 1, 3 ]
2
[ 2, 1, 3 ]
1.667
[ 1, 1, 3 ]
2
[ 2, 2, 2 ]
1
[ 1, 1, 1 ]
2.667
[ 2, 3, 3 ]
3.667
[ 3, 4, 4 ]
1.667
[ 1, 1, 3 ]
S008_P2107.wav
P2107
A boy speaking in foreign language
Daily life scenes
1
Human sounds
S008
Stable Audio Open 1.0
3
3
6
2.333
[ 2, 3, 2 ]
1.667
[ 1, 3, 1 ]
1.667
[ 1, 3, 1 ]
2
[ 2, 3, 1 ]
1.667
[ 1, 3, 1 ]
1.667
[ 2, 1, 2 ]
1
[ 1, 1, 1 ]
2.667
[ 3, 2, 3 ]
2.667
[ 3, 2, 3 ]
1.667
[ 1, 1, 3 ]
S005_P2354.wav
P2354
A man shouting instructions in Chinese
Work & production scenes
1
Human sounds
S005
MAGNeT-medium
3
3
6
2.667
[ 3, 2, 3 ]
2.667
[ 3, 2, 3 ]
4.333
[ 3, 4, 6 ]
3
[ 1, 4, 4 ]
3
[ 3, 2, 4 ]
3.333
[ 3, 4, 3 ]
2
[ 2, 2, 2 ]
4.667
[ 6, 4, 4 ]
5.333
[ 6, 4, 6 ]
3.333
[ 3, 3, 4 ]
S009_P2274.wav
P2274
a teenager speaking
Daily life scenes
1
Human sounds
S009
Tango-full
3
3
6
3
[ 2, 3, 4 ]
3.667
[ 3, 4, 4 ]
5.333
[ 4, 6, 6 ]
7
[ 8, 6, 7 ]
4.667
[ 5, 5, 4 ]
2.667
[ 3, 3, 2 ]
4
[ 6, 4, 2 ]
6
[ 7, 7, 4 ]
7.667
[ 9, 8, 6 ]
5.333
[ 7, 5, 4 ]
S008_P0877.wav
P0877
A forklift reverses with beeping then lifts a pallet with hydraulic whine.
Work & production scenes
2
Sounds of things
S008
Stable Audio Open 1.0
3
3
6
2.667
[ 3, 3, 2 ]
2.667
[ 2, 4, 2 ]
3.667
[ 2, 6, 3 ]
4.667
[ 4, 6, 4 ]
3.667
[ 3, 5, 3 ]
2
[ 2, 2, 2 ]
2.333
[ 2, 3, 2 ]
5
[ 5, 6, 4 ]
6.333
[ 6, 7, 6 ]
3
[ 2, 3, 4 ]
S008_P1943.wav
P1943
A female narrating veyr clearly.
Art & cultural scenes
1
Human sounds
S008
Stable Audio Open 1.0
3
3
6
2.333
[ 3, 2, 2 ]
2.333
[ 4, 1, 2 ]
2.333
[ 4, 1, 2 ]
3
[ 4, 2, 3 ]
2.333
[ 4, 1, 2 ]
1.667
[ 1, 2, 2 ]
1
[ 1, 1, 1 ]
2.667
[ 2, 3, 3 ]
3
[ 2, 3, 4 ]
1.667
[ 1, 1, 3 ]
S003_P1740.wav
P1740
An electric skateboard zooms past, blending with Christian music and a lullaby.
Art & cultural scenes
3
Music
S003
AudioLDM 2-large
3
3
6
3.667
[ 2, 3, 6 ]
3.333
[ 3, 3, 4 ]
5
[ 3, 6, 6 ]
4.333
[ 3, 5, 5 ]
4.333
[ 4, 3, 6 ]
3
[ 4, 2, 3 ]
2.667
[ 2, 3, 3 ]
5
[ 5, 5, 5 ]
6
[ 7, 5, 6 ]
3.667
[ 3, 3, 5 ]
S009_P0588.wav
P0588
The computer fan runs while documents are printed, a phone buzzes, coffee is sipped, and pages are turned in a reference book.
Work & production scenes
5
Channel, environment and background
S009
Tango-full
3
3
6
5
[ 4, 7, 4 ]
5.333
[ 5, 8, 3 ]
5.667
[ 4, 8, 5 ]
6
[ 5, 8, 5 ]
5
[ 3, 8, 4 ]
4
[ 6, 2, 4 ]
3.667
[ 4, 3, 4 ]
7
[ 8, 7, 6 ]
6.333
[ 7, 8, 4 ]
4.667
[ 5, 3, 6 ]
S010_P1268.wav
P1268
The seatbelt sign dings, engines accelerate with a deep growl, landing gear retracts, flaps extend hydraulically, and cabin lights flicker.
Transportation & travel scenes
4
Channel, environment and background
S010
Tango-2-full
3
3
6
4.333
[ 5, 5, 3 ]
5
[ 7, 5, 3 ]
6
[ 7, 5, 6 ]
5.667
[ 5, 7, 5 ]
5.667
[ 7, 6, 4 ]
2.667
[ 3, 1, 4 ]
2
[ 2, 1, 3 ]
5.333
[ 7, 3, 6 ]
5.333
[ 6, 3, 7 ]
3
[ 2, 1, 6 ]
S003_P1704.wav
P1704
A sharp whip crack snaps into a gasping duck call.
Natural & outdoor scenes
2
Sounds of things
S003
AudioLDM 2-large
3
3
6
2.667
[ 2, 3, 3 ]
2.667
[ 2, 3, 3 ]
5.667
[ 4, 6, 7 ]
5.667
[ 5, 6, 6 ]
5
[ 4, 4, 7 ]
2.667
[ 3, 2, 3 ]
2.667
[ 2, 4, 2 ]
5.333
[ 5, 7, 4 ]
6.333
[ 6, 7, 6 ]
4.333
[ 4, 5, 4 ]
S008_P1585.wav
P1585
A saxophone wails over a high-pitched humming engine.
Art & cultural scenes
2
Music
S008
Stable Audio Open 1.0
3
3
6
3
[ 2, 3, 4 ]
3.333
[ 3, 3, 4 ]
4.333
[ 3, 6, 4 ]
6.667
[ 7, 6, 7 ]
4.333
[ 5, 4, 4 ]
2.667
[ 3, 3, 2 ]
3.333
[ 4, 4, 2 ]
5.667
[ 5, 7, 5 ]
7.333
[ 7, 8, 7 ]
4.333
[ 3, 5, 5 ]
S008_P1871.wav
P1871
A man talking as insects hum followed by footsteps walking on grass.
Natural & outdoor scenes
3
Channel, environment and background
S008
Stable Audio Open 1.0
3
3
6
3
[ 4, 2, 3 ]
3
[ 4, 2, 3 ]
3.667
[ 6, 2, 3 ]
3
[ 5, 2, 2 ]
3
[ 4, 2, 3 ]
2
[ 2, 2, 2 ]
2.333
[ 3, 2, 2 ]
6.333
[ 7, 7, 5 ]
6.667
[ 7, 7, 6 ]
3.333
[ 3, 2, 5 ]
S001_P1676.wav
P1676
Shattering glass breaks through the click of a camera shutter and turkey calls.
Art & cultural scenes
3
Sounds of things
S001
AudioGen-medium
3
3
6
5
[ 6, 3, 6 ]
4
[ 5, 3, 4 ]
6
[ 6, 6, 6 ]
6.667
[ 8, 6, 6 ]
5.333
[ 7, 4, 5 ]
3.667
[ 4, 4, 3 ]
1.333
[ 2, 1, 1 ]
3
[ 3, 3, 3 ]
4
[ 4, 4, 4 ]
3.333
[ 4, 3, 3 ]
S005_P0280.wav
P0280
A man speaks with his voice echoing followed by some sliding and a few bangs
Art & cultural scenes
3
Human sounds
S005
MAGNeT-medium
3
3
6
3.333
[ 4, 3, 3 ]
3.667
[ 4, 3, 4 ]
5
[ 4, 5, 6 ]
5
[ 4, 5, 6 ]
4
[ 4, 3, 5 ]
3.333
[ 4, 3, 3 ]
2.333
[ 2, 2, 3 ]
3.667
[ 3, 3, 5 ]
4.667
[ 4, 4, 6 ]
3.333
[ 2, 3, 5 ]
S005_P0893.wav
P0893
The lab door suddenly slams shut, causing a brief echo.
Work & production scenes
1
Sounds of things
S005
MAGNeT-medium
3
3
6
2.667
[ 2, 2, 4 ]
1.667
[ 1, 1, 3 ]
3
[ 2, 2, 5 ]
3
[ 3, 1, 5 ]
2
[ 1, 2, 3 ]
2.333
[ 3, 2, 2 ]
1.667
[ 2, 1, 2 ]
3.667
[ 2, 6, 3 ]
4.667
[ 2, 7, 5 ]
1.667
[ 1, 1, 3 ]
S006_P1740.wav
P1740
An electric skateboard zooms past, blending with Christian music and a lullaby.
Art & cultural scenes
3
Music
S006
Make-An-Audio
3
3
6
3.667
[ 3, 5, 3 ]
3.333
[ 3, 5, 2 ]
5.667
[ 5, 7, 5 ]
4
[ 4, 4, 4 ]
4.333
[ 3, 7, 3 ]
2.667
[ 3, 2, 3 ]
3
[ 3, 3, 3 ]
6
[ 7, 7, 4 ]
6
[ 6, 7, 5 ]
3.333
[ 3, 3, 4 ]
S010_P1046.wav
P1046
A gate creaks open, followed by footsteps on dry soil, then the sound of grain pouring into a sack, and a chicken clucking as it approaches.
Work & production scenes
4
Sounds of things
S010
Tango-2-full
3
3
6
4.667
[ 4, 6, 4 ]
5
[ 5, 6, 4 ]
5.333
[ 4, 6, 6 ]
4.333
[ 3, 4, 6 ]
5
[ 4, 6, 5 ]
3.667
[ 4, 2, 5 ]
2.333
[ 2, 1, 4 ]
6
[ 9, 3, 6 ]
7.333
[ 8, 6, 8 ]
4
[ 4, 2, 6 ]
S007_P0748.wav
P0748
Crackling bonfire, snowshoes shuffling, marshmallows roasting, laughter, and owl hoots.
Natural & outdoor scenes
5
Natural sounds
S007
Make-An-Audio-2
3
3
6
3.667
[ 3, 4, 4 ]
3.667
[ 3, 4, 4 ]
5.333
[ 6, 4, 6 ]
6
[ 5, 7, 6 ]
4.333
[ 4, 4, 5 ]
2.667
[ 3, 3, 2 ]
2.667
[ 3, 3, 2 ]
6.333
[ 7, 7, 5 ]
7.333
[ 8, 7, 7 ]
3.667
[ 3, 3, 5 ]
S010_P2268.wav
P2268
a young person speaks loudly nearby
Daily life scenes
1
Human sounds
S010
Tango-2-full
3
3
6
3.333
[ 3, 3, 4 ]
3.333
[ 2, 4, 4 ]
6
[ 5, 6, 7 ]
5.667
[ 4, 6, 7 ]
4
[ 3, 5, 4 ]
3
[ 3, 3, 3 ]
4
[ 5, 4, 3 ]
6.333
[ 7, 7, 5 ]
7.667
[ 8, 8, 7 ]
5.333
[ 6, 5, 5 ]
S002_P0236.wav
P0236
Rustling and distant murmuring
Natural & outdoor scenes
2
Channel, environment and background
S002
AudioLDM-l-full
3
3
6
3.667
[ 5, 3, 3 ]
3.333
[ 4, 3, 3 ]
6.333
[ 7, 6, 6 ]
7
[ 9, 6, 6 ]
5
[ 7, 4, 4 ]
2.667
[ 3, 2, 3 ]
2
[ 2, 1, 3 ]
3.667
[ 3, 3, 5 ]
5
[ 4, 4, 7 ]
2.667
[ 2, 1, 5 ]
S009_P2006.wav
P2006
A young boy is talking and mimicking animal noises.
Daily life scenes
2
Human sounds
S009
Tango-full
3
3
6
3.333
[ 3, 4, 3 ]
3.667
[ 4, 4, 3 ]
5.667
[ 6, 5, 6 ]
5.667
[ 6, 5, 6 ]
4.333
[ 4, 5, 4 ]
3.667
[ 4, 4, 3 ]
3.667
[ 3, 5, 3 ]
6.333
[ 7, 7, 5 ]
7
[ 7, 8, 6 ]
4.333
[ 3, 5, 5 ]
S007_P0972.wav
P0972
A cash register drawer slams shut.
Work & production scenes
1
Sounds of things
S007
Make-An-Audio-2
3
3
6
4
[ 3, 5, 4 ]
4
[ 3, 5, 4 ]
6.333
[ 6, 7, 6 ]
6.667
[ 6, 7, 7 ]
5.333
[ 4, 7, 5 ]
2.333
[ 2, 2, 3 ]
3
[ 5, 2, 2 ]
6.333
[ 7, 7, 5 ]
8
[ 9, 8, 7 ]
4.667
[ 5, 3, 6 ]
S003_P1921.wav
P1921
A man tlaking as insects buzz followed by footsteps walking on grass.
Natural & outdoor scenes
3
Channel, environment and background
S003
AudioLDM 2-large
3
3
6
3.333
[ 3, 4, 3 ]
3.333
[ 4, 4, 2 ]
5.333
[ 6, 4, 6 ]
4.333
[ 5, 4, 4 ]
3.667
[ 4, 4, 3 ]
2.333
[ 2, 2, 3 ]
3
[ 3, 4, 2 ]
6
[ 7, 6, 5 ]
6.667
[ 7, 7, 6 ]
4
[ 3, 4, 5 ]
S006_P0436.wav
P0436
A complex layering emerges where the edgy spray can hiss starts the beat, an electronic pulse hums in the background, and layered vocal chants echo from the sidelines, at times overlapping and at times following each other.
Art & cultural scenes
3
Music
S006
Make-An-Audio
3
3
6
3.667
[ 4, 3, 4 ]
5
[ 5, 4, 6 ]
6.667
[ 7, 6, 7 ]
6
[ 6, 5, 7 ]
6
[ 7, 5, 6 ]
2.333
[ 2, 3, 2 ]
1.667
[ 2, 1, 2 ]
5
[ 5, 5, 5 ]
5.333
[ 5, 5, 6 ]
2.667
[ 3, 2, 3 ]
S006_P1357.wav
P1357
Helm wheel creaking during adjustment followed by hydraulic steering response.
Transportation & travel scenes
2
Sounds of things
S006
Make-An-Audio
3
3
6
4
[ 4, 4, 4 ]
4
[ 3, 6, 3 ]
6
[ 6, 6, 6 ]
6.667
[ 7, 7, 6 ]
4.667
[ 4, 6, 4 ]
3.667
[ 5, 3, 3 ]
3
[ 3, 4, 2 ]
6
[ 7, 7, 4 ]
6.667
[ 5, 8, 7 ]
4.333
[ 4, 4, 5 ]
S006_P1408.wav
P1408
The sizzle of takoyaki balls cooking overlaps with a tour guide's amplified narration. A wheelchair ramp clanks down, followed by a spilled drink's splash and a pigeon's sudden wing flap.
Transportation & travel scenes
5
Channel, environment and background
S006
Make-An-Audio
3
3
6
5
[ 4, 6, 5 ]
4.667
[ 3, 7, 4 ]
5
[ 3, 6, 6 ]
4.333
[ 4, 4, 5 ]
5.667
[ 5, 7, 5 ]
4
[ 5, 2, 5 ]
3.667
[ 3, 3, 5 ]
6.667
[ 8, 7, 5 ]
7.667
[ 8, 8, 7 ]
4.667
[ 6, 2, 6 ]
S001_P1781.wav
P1781
Background noise blends with farts, while a musical ensemble chops food rhythmically.
Art & cultural scenes
3
Music
S001
AudioGen-medium
3
3
6
3.667
[ 5, 3, 3 ]
3
[ 4, 3, 2 ]
5
[ 5, 5, 5 ]
5.333
[ 6, 5, 5 ]
4
[ 6, 3, 3 ]
2.667
[ 3, 2, 3 ]
1
[ 1, 1, 1 ]
2.667
[ 3, 3, 2 ]
3.667
[ 4, 3, 4 ]
2
[ 2, 2, 2 ]
S001_P0893.wav
P0893
The lab door suddenly slams shut, causing a brief echo.
Work & production scenes
1
Sounds of things
S001
AudioGen-medium
3
3
6
3.333
[ 2, 3, 5 ]
3.667
[ 2, 4, 5 ]
5
[ 5, 4, 6 ]
3.667
[ 4, 1, 6 ]
3.333
[ 1, 4, 5 ]
1.667
[ 1, 2, 2 ]
1.667
[ 1, 1, 3 ]
6
[ 5, 6, 7 ]
7
[ 4, 8, 9 ]
3
[ 1, 2, 6 ]
S003_P0275.wav
P0275
A child is talking and walking across rocks
Natural & outdoor scenes
2
Human sounds
S003
AudioLDM 2-large
3
3
6
3.667
[ 3, 3, 5 ]
3.667
[ 2, 4, 5 ]
6
[ 5, 6, 7 ]
5.667
[ 8, 5, 4 ]
4.333
[ 4, 4, 5 ]
2.667
[ 3, 3, 2 ]
4.667
[ 5, 6, 3 ]
7
[ 8, 8, 5 ]
8
[ 9, 9, 6 ]
5.333
[ 5, 6, 5 ]
S003_P0184.wav
P0184
Some men converse over a rumbling engine
Transportation & travel scenes
2
Human sounds
S003
AudioLDM 2-large
3
3
6
3.333
[ 2, 3, 5 ]
3.667
[ 3, 3, 5 ]
6.667
[ 7, 6, 7 ]
5.667
[ 5, 5, 7 ]
4.333
[ 4, 4, 5 ]
2.667
[ 3, 3, 2 ]
4.333
[ 5, 5, 3 ]
7.333
[ 8, 8, 6 ]
8
[ 8, 9, 7 ]
5.333
[ 5, 5, 6 ]
S004_P1534.wav
P1534
A low engine hum blends with soft raindrops on tin.
Transportation & travel scenes
2
Channel, environment and background
S004
Auffusion-full
3
3
6
3
[ 2, 2, 5 ]
3.667
[ 4, 3, 4 ]
5.333
[ 4, 6, 6 ]
7.333
[ 7, 6, 9 ]
4
[ 3, 3, 6 ]
3.333
[ 3, 4, 3 ]
4
[ 5, 5, 2 ]
5.667
[ 6, 7, 4 ]
8
[ 9, 9, 6 ]
5.667
[ 5, 7, 5 ]
S008_P1676.wav
P1676
Shattering glass breaks through the click of a camera shutter and turkey calls.
Art & cultural scenes
3
Sounds of things
S008
Stable Audio Open 1.0
3
3
6
3
[ 2, 3, 4 ]
3.333
[ 3, 3, 4 ]
5.667
[ 4, 6, 7 ]
5.333
[ 4, 5, 7 ]
4.333
[ 5, 4, 4 ]
2.667
[ 2, 3, 3 ]
3
[ 3, 4, 2 ]
5.667
[ 5, 8, 4 ]
6.667
[ 5, 9, 6 ]
3.667
[ 2, 5, 4 ]
S009_P0533.wav
P0533
Continuous chatter flows from the dining area as everyone catches up.
Daily life scenes
1
Human sounds
S009
Tango-full
3
3
6
3.667
[ 4, 4, 3 ]
5.667
[ 7, 7, 3 ]
5.333
[ 4, 7, 5 ]
6.667
[ 6, 8, 6 ]
5
[ 5, 7, 3 ]
4.333
[ 6, 3, 4 ]
3.667
[ 4, 4, 3 ]
5.667
[ 7, 5, 5 ]
6.333
[ 8, 7, 4 ]
5.333
[ 6, 5, 5 ]
S009_P1248.wav
P1248
The cannon fires with a boom while safety nets catch performers. Simultaneously, popcorn burns with crackles, a clown's balloon pops, and elephants trumpet.
Art & cultural scenes
4
Sounds of things
S009
Tango-full
3
3
6
5.333
[ 5, 7, 4 ]
4.667
[ 4, 7, 3 ]
5.667
[ 4, 7, 6 ]
5.333
[ 4, 7, 5 ]
5.667
[ 6, 7, 4 ]
3.667
[ 6, 2, 3 ]
3
[ 4, 2, 3 ]
7.333
[ 9, 7, 6 ]
6.667
[ 8, 6, 6 ]
4
[ 4, 2, 6 ]
S005_P1037.wav
P1037
The clucking of chickens in the coop followed by the creaking of a wooden gate being opened.
Work & production scenes
2
Animal
S005
MAGNeT-medium
3
3
6
2.333
[ 2, 1, 4 ]
2
[ 2, 2, 2 ]
3.333
[ 3, 3, 4 ]
3.667
[ 3, 3, 5 ]
2.333
[ 2, 2, 3 ]
2.667
[ 3, 2, 3 ]
2.667
[ 3, 1, 4 ]
5
[ 5, 5, 5 ]
6
[ 4, 6, 8 ]
3.667
[ 3, 2, 6 ]
S004_P2202.wav
P2202
an old person makes noises repeatedly
Daily life scenes
1
Human sounds
S004
Auffusion-full
3
3
6
3.333
[ 3, 4, 3 ]
3.667
[ 4, 4, 3 ]
5.333
[ 6, 5, 5 ]
5.667
[ 5, 7, 5 ]
4.667
[ 5, 5, 4 ]
3
[ 4, 3, 2 ]
4
[ 5, 5, 2 ]
6.333
[ 7, 7, 5 ]
6.667
[ 8, 5, 7 ]
5.333
[ 6, 5, 5 ]
S010_P1820.wav
P1820
A Dog bArking As a MAn is talkIng whilE bIrds CHirp and wind bLoWs InTo a micRopHone.
Natural & outdoor scenes
4
Channel, environment and background
S010
Tango-2-full
3
3
6
3.333
[ 3, 4, 3 ]
3.333
[ 4, 4, 2 ]
4.667
[ 5, 5, 4 ]
5.333
[ 5, 7, 4 ]
3.667
[ 4, 5, 2 ]
2.667
[ 2, 3, 3 ]
2.667
[ 3, 3, 2 ]
4
[ 5, 3, 4 ]
5.333
[ 6, 5, 5 ]
3.333
[ 3, 3, 4 ]
End of preview. Expand in Data Studio

AudioEval

AudioEval is a text-to-audio evaluation benchmark with 4200 generated clips, 451 prompts, 24 systems, and 25200 per-rater annotations. This release uses one main clip table in data/metadata.jsonl.

Files

  • data/metadata.jsonl: one clip-level table for all 4200 clips.
  • data/*.wav: audio files referenced by file_name.
  • annotations/ratings.csv: anonymized per-rater annotations.
  • annotations/prompts.tsv: prompt metadata.
  • annotations/system_info.csv: system name mapping.
  • stats/*.csv: reliability and model summary tables.

Summary

  • 11.712 total hours of audio, about 10.039 seconds per clip on average.
  • There are 9 non-expert raters and 3 expert raters.
  • Rating rows by rater type: non_expert=12600, expert=12600.
  • Each rating row contains 5 integer scores from 1 to 10.

Main Columns

  • file_name, wav_name, prompt_id, prompt_text
  • scene_category, sound_event_count, audioset_ontology
  • system_id, system_name
  • non_expert_*_mean, expert_*_mean
  • non_expert_*_raw_scores, expert_*_raw_scores

The five evaluation dimensions are production_complexity, content_enjoyment, production_quality, textual_alignment, and content_usefulness.

Loading

Once you have access to the repository on the Hub, you can load the main table like this:

from datasets import load_dataset

data = load_dataset("Hui519/AudioEval", split="full")
print(data[0]["audio"])
print(data[0]["prompt_text"])
  • Rater demographic tables are intentionally excluded from this release.

License

This dataset is released under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

Citation

@article{wang2025audioeval,
  title={Audioeval: Automatic dual-perspective and multi-dimensional evaluation of text-to-audio-generation},
  author={Wang, Hui and Zhao, Jinghua and Cheng, Junyang and Liu, Cheng and Jia, Yuhang and Sun, Haoqin and Zhou, Jiaming and Qin, Yong},
  journal={arXiv preprint arXiv:2510.14570},
  year={2025}
}
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Paper for Hui519/AudioEval