instruction
stringlengths 11
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| input
stringlengths 0
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| audio_id
stringlengths 11
11
| dataset
stringclasses 2
values | task
stringclasses 1
value | output
stringlengths 3
232
| audio
audioduration (s) 0.62
10
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|---|---|---|---|---|---|---|
Perform audio event identification for provided audio, only extract audio tags.
|
and Ujota, to mention a few, have largely conducted themselves peacefully, singing and dancing while they express their displeasure at the world stage.
|
-MFPFJwAwbM
|
as_strong_train
|
cla_label
|
Male speech, man speaking, Mechanisms, Breathing
| |
Included sounds in audio clip? Directly display sound labels without intermediaries.
|
passengers and planet Defense, you can head into пор right around that moment, hopefully it's a little bit of a понять
|
OIGdFtBtbMY
|
as_strong_train
|
cla_label
|
Chewing, mastication, Wind, Patter, Water
| |
What noises can be heard in the audio?
|
DqraZLiU7lE
|
as_strong_train
|
cla_label
|
Music, Background noise, Coo, Generic impact sounds, Bird flight, flapping wings
| ||
Closed-ended question: Identify the audio sound? Extract only audio labels.
|
Hey, hey, hey, hey, hey, hey, hey
|
rZUVADfr2m0
|
as_strong_train
|
cla_label
|
Mosquito, Music, Male singing
| |
Identify noise in audio clip, directly label sound output without extra steps.
|
That's really rough, that's rather following the grain. I could use a straight edge for this but it doesn't really matter. Just trimming my
|
WkOO4bKmvUo
|
as_strong_train
|
cla_label
|
Mechanisms, Generic impact sounds, Male speech, man speaking, Breathing
| |
Identify the noise from the recording.
|
One, two, three. Okay, I mean, it's that simple.
|
vVG8WjGWJSs
|
as_strong_train
|
cla_label
|
Child speech, kid speaking, Background noise, Generic impact sounds, Vacuum cleaner, Tick
| |
Closed-ended question: Classify audio events for clip provided, extract audio labels exclusively.
|
of our friend om Hey
|
ByyfqHXwOjo
|
as_20k
|
cla_label
|
Battle cry, Crowd
| |
Closed-ended question: Identify audio clip sound:
|
5MHykTNs5oI
|
as_strong_train
|
cla_label
|
Background noise, Car, Accelerating, revving, vroom, Tire squeal, skidding
| ||
Noises captured in audio file:
|
Bye!
|
hzL9Kpmfs_Y
|
as_strong_train
|
cla_label
|
Wind noise (microphone), Siren
| |
Closed-ended question: Identify sounds in clip? Print sound labels immediately without interim steps.
|
already had a few pieces of chicken, raw chicken and yes, he's got to cool down, I know.
|
qmFeXm31DXU
|
as_strong_train
|
cla_label
|
Female speech, woman speaking, Tick, Mechanisms, Pant (dog)
| |
Identify audio clip noise, generate sound labels without intermediate processes.
|
I'm Luis Carlos Rivero, a Guatemalan marathon runner, and I won the 2013 Miami Marathon in 2014.
|
_ZMHxxLZtOA
|
as_strong_train
|
cla_label
|
Music, Male speech, man speaking
| |
Classify audio events for clip provided, produce solely audio labels.
|
and be together for the rest of your days. So take good care of yourself, and love your life. That's all.
|
saIyDgOrdFw
|
as_strong_train
|
cla_label
|
Background noise, Tick
| |
Closed-ended question: Identify sounds in clip?
|
Stay safeout there.
|
sVI6MPMFh7o
|
as_strong_train
|
cla_label
|
Fireworks, Wind noise (microphone), Walk, footsteps, Fire, Generic impact sounds, Male speech, man speaking
| |
Identify noises heard in recorded clip.
|
That's my Lord, there's a ring in the kingdom.
|
4y-9dyOaYHo
|
as_strong_train
|
cla_label
|
Choir, Background noise, Breathing, Male singing
| |
Closed-ended question: Classify audio event in the clip.
|
... AAAA- Touhou
|
-76P3VHPuus
|
as_strong_train
|
cla_label
|
Music, Screaming, Heart sounds, heartbeat, Whispering, Sound effect
| |
Classify audio event clip.
|
upbeat theme song
|
1Wr8H2CKUOg
|
as_strong_train
|
cla_label
|
Music, Mechanisms, Mantra
| |
Identify the sounds in the clip.
|
Let's go now!
|
POpN5DENydU
|
as_strong_train
|
cla_label
|
Music, Male speech, man speaking
| |
Identify the audio clip sounds? Skip intermediate stages and produce sound labels.
|
4dFvWhcyQv8
|
as_strong_train
|
cla_label
|
Music
| ||
Classify audio events in the given clip.
|
rvrmyRAyBkM
|
as_strong_train
|
cla_label
|
Idling, Car, Generic impact sounds, Tick, Accelerating, revving, vroom
| ||
Identify sounds in audio clip? Only display audio labels.
|
with our banyan brisket rub, which is just your favorite barbecue rub. And we're just going to roast these red peppers for this stuffed chicken recipe. Thirty minutes at 350.
|
P09wPOV2jts
|
as_strong_train
|
cla_label
|
Male speech, man speaking, Mechanisms, Breathing
| |
Closed-ended question: These noises are present in the audio, skip intermediate steps, output sound labels directly.
|
popular microphone for filming. Shotgun. Shhhhhh.
|
PiDmSaxqX1U
|
as_strong_train
|
cla_label
|
Male speech, man speaking, Background noise, Tick, Breathing, Human sounds, Mechanisms
| |
Closed-ended question: Identify the sound from the audio clip? Directly output sound labels.
|
What the fuck was that?
|
4-3Y54WL5sE
|
as_strong_train
|
cla_label
|
Generic impact sounds, Video game sound, Walk, footsteps, Gunshot, gunfire, Male speech, man speaking, Cricket
| |
Closed-ended question: This clip includes the following sounds:
|
流通疫 layered made by .. ..
|
nOrY1biKKx8
|
as_strong_train
|
cla_label
|
Mechanisms, Steam, Generic impact sounds
| |
Closed-ended question: Identify the noise in the sound file:
|
Enlarge it slightly so you can find it again. Unless you'd like to fix the flat a second time, inspect the tire for whatever punctured the tire.
|
Veigm-n7D00
|
as_strong_train
|
cla_label
|
Noise, Male speech, man speaking
| |
Closed-ended question: Classify audio event in provided audio, directly generate sound labels, skip middle steps.
|
esh
|
IYZLBjt8xKc
|
as_strong_train
|
cla_label
|
Engine starting, Medium engine (mid frequency)
| |
Identify sounds in the audio clip:
|
Let's just open this bad boy up, and have a look. Haste unboxings are fine.
|
KQgz8DI-fQs
|
as_strong_train
|
cla_label
|
Mechanisms, Whistling, Generic impact sounds, Ding, Male speech, man speaking, Breathing
| |
Closed-ended question: This clip contains these sounds? Skip middle steps and output sound labels directly.
|
Oh, baby!
|
46gAS3zoXro
|
as_strong_train
|
cla_label
|
Male speech, man speaking, Water, Wind noise (microphone), Snort (horse), Laughter
| |
Closed-ended question: This audio clip includes the following sounds:
|
website.
|
h-a45tZR6p0
|
as_strong_train
|
cla_label
|
Music
| |
Closed-ended question: Identify the noise in the audio sample, skip intermediate processes and output sound labels.
|
7NtM1MM76s0
|
as_20k
|
cla_label
|
Percussion, Drum, Snare drum, Drum roll
| ||
Identify audio clip's sound.
|
커피
|
dXN66EUmJGc
|
as_strong_train
|
cla_label
|
Motor vehicle (road), Water, Male speech, man speaking
| |
Noises in recording comprise of? Produce tags solely for audio.
|
Anita Rimj- I'm not saying- you sick son of a bitch! Anna Linjection. Uh, we got Annin Brownie Lover.
|
0Z7-VQ6Nn3g
|
as_strong_train
|
cla_label
|
Male speech, man speaking, Background noise
| |
Included sounds in audio clip:
|
And there we have it, the will of the Bible is the best law.
|
FcnU7sF5ZcM
|
as_strong_train
|
cla_label
|
Sound effect, Sigh, Breathing, Male speech, man speaking
| |
Closed-ended question: What sounds are in the audio? Output only audio tags in 10 words or less.
|
4faXhe2aOVo
|
as_strong_train
|
cla_label
|
Environmental noise, Male singing, Generic impact sounds, Car passing by
| ||
Identify sounds in audio clip:
|
And we end up with x, the amount to add, is 75 milliliters of water.
|
_NNljNgDnSo
|
as_strong_train
|
cla_label
|
Mechanisms, Generic impact sounds, Male speech, man speaking, Breathing
| |
What noises can be heard in the audio? Produce exclusively audio tags.
|
If it's an interruption alarm, a fire or a
|
LauoPiW9VUw
|
as_strong_train
|
cla_label
|
Music, Female speech, woman speaking, Beep, bleep, Alarm, Breathing
| |
Classify audio events for the given clip.
|
the
|
Fy55o0ck3kM
|
as_strong_train
|
cla_label
|
Ringtone, Background noise, Music
| |
Closed-ended question: Identify sounds in the audio clip:
|
ZF8uHVu4Res
|
as_20k
|
cla_label
|
Bagpipes, Wind instrument, woodwind instrument
| ||
Classify audio events in the given clip.
|
More nice. More Japanese singles.
|
2qldSK1lSAM
|
as_strong_train
|
cla_label
|
Music, Male speech, man speaking, Telephone bell ringing, Background noise, Generic impact sounds
| |
Identify the audio's noise:
|
Fart rap, fart rap, fart rap
|
RjUZjMPP-nA
|
as_strong_train
|
cla_label
|
Rapping, Music, Sound effect
| |
Listen for? Produce speech tags exclusively.
|
Make no mistake, this will not be easy, but with these changes we can win the future. Here's with me.
|
F_4pDlaeEiY
|
as_strong_train
|
cla_label
|
Music, Speech synthesizer
| |
Closed-ended question: Classify audio events for clip provided.
|
30 seconds, they're home!
|
r7yzwTB9RtY
|
as_strong_train
|
cla_label
|
Mechanisms, Female speech, woman speaking, Laughter, Breathing
| |
Closed-ended question: Classify audio events in this clip, directly output sound labels without intermediary steps.
|
So, well, I'll tell you what I'm going to do today.
|
sWh4Kh8V3C8
|
as_strong_train
|
cla_label
|
Mechanisms, Generic impact sounds, Printer, Male speech, man speaking, Breathing, Tick
| |
Audio clip features following sounds? Produce only spoken words identification on audio.
|
KeOziRUc5C0
|
as_20k
|
cla_label
|
Motorboat, speedboat, Boat, Water vehicle
| ||
Closed-ended question: Classify the given audio clip's events, produce only sound tags.
|
ZbfEpDs45Ek
|
as_20k
|
cla_label
|
Train, Train wheels squealing, Rail transport, Railroad car, train wagon, Train horn, Subway, metro, underground
| ||
Identify the sounds in the audio.
|
Just sing your favorite kill!
|
uL1cDWHZ6aU
|
as_strong_train
|
cla_label
|
Human voice, Background noise, Walk, footsteps, Basketball bounce, Screaming, Groan, Child speech, kid speaking, Surface contact, Child singing, Generic impact sounds
| |
These noises are present in the audio, produce exclusively audio tags.
|
Take it and just scrape really good where the veins were to make sure there's no residual glue left. And you need a nice...
|
tYXoRaOklNk
|
as_strong_train
|
cla_label
|
Filing (rasp), Mechanisms, Male speech, man speaking, Generic impact sounds
| |
Closed-ended question: Noises in the audio consist of:
|
Thank you.
|
E5CTMvcbX5A
|
as_strong_train
|
cla_label
|
Ship, Water, Tick, Generic impact sounds, Human voice, Tap
| |
Closed-ended question: What sounds can be heard in the clip?
|
Thank you.
|
LHfgBAtFBYk
|
as_strong_train
|
cla_label
|
Music, Tick, Hubbub, speech noise, speech babble, Male speech, man speaking
| |
Closed-ended question: Classify audio events in the clip.
|
4y-QaBgcrKA
|
as_strong_train
|
cla_label
|
Mechanisms, Generic impact sounds
| ||
Identify the noise in the audio snippet? Produce purely audio tags.
|
1734G1jBMMo
|
as_strong_train
|
cla_label
|
Medium engine (mid frequency), Generic impact sounds
| ||
Classify audio clip based on its events, output only audio tags.
|
Nithyananda!
|
4goRNHD8oo0
|
as_strong_train
|
cla_label
|
Mantra, Background noise, Breathing
| |
Identify the sounds in the recording? Extract only audio labels.
|
Oh, oh, oh.
|
5rWf-6wCHFE
|
as_strong_train
|
cla_label
|
Shout, Crowd, Background noise, Squeak, Generic impact sounds
| |
Closed-ended question: Identify sounds heard in the clip.
|
Kor2VEEvwOk
|
as_strong_train
|
cla_label
|
Motorboat, speedboat, Wind, Tick
| ||
Noises in the audio are? Generate audio tags exclusively.
|
Mix it well Now increase the flame
|
dL4GqK1pWrE
|
as_strong_train
|
cla_label
|
Male speech, man speaking, Stir, Tap, Mechanisms
| |
Identify the noise from the sound clip, output sound labels without intermediaries.
|
f5gdyD0jRpk
|
as_strong_train
|
cla_label
|
Music, Male speech, man speaking, Fixed-wing aircraft, airplane
| ||
Closed-ended question: What sounds does the audio clip contain? Produce only spoken words identification on audio.
|
Thank you.
|
x_N8YVlNrmw
|
as_strong_train
|
cla_label
|
Clapping, Mechanisms
| |
Audio clip comprises these sounds? Produce exclusively audio tags.
|
Ujz8GdTWMNw
|
as_strong_train
|
cla_label
|
Video game sound, Mechanisms, Tick, Human voice, Sound effect
| ||
Identify audio clip sounds, directly output sound labels without intermediaries.
|
yeah
|
BOcmUK8MUJw
|
as_20k
|
cla_label
|
Music, Shuffle, Speech
| |
Classify audio clip events, directly output sound labels without middle steps.
|
system like the cooling unit, like the air conditioning for the entire chicken. Now, the chicken's body temperature is much warmer than ours. It's actually a hundred and...
|
3EsitN9sinc
|
as_strong_train
|
cla_label
|
Male speech, man speaking, Chicken, rooster, Mechanisms
| |
Includes following sounds? Produce only audio labels as output.
|
As always, may the force of foot never disammow you!
|
lpzff1Rm-Gg
|
as_strong_train
|
cla_label
|
Engine, Engine knocking
| |
Perform audio event identification for provided audio.
|
BEEP BEEP BEEP BEEP BEEP BEEP BEEP
|
0npLQ4LzD0c
|
as_20k
|
cla_label
|
Car alarm
| |
Closed-ended question: The audio clip features the following sounds? Produce sole audio labels.
|
mouthugen rawning
|
RegDsEqGndg
|
as_strong_train
|
cla_label
|
Wind, Clicking, Foghorn
| |
Closed-ended question: Audio clip includes these sounds? Skip intermediate stages, give sound labels.
|
Don't forget to subscribe, like and share.
|
0H886ArR4l4
|
as_strong_train
|
cla_label
|
Child speech, kid speaking, Motor vehicle (road), Sizzle, Male speech, man speaking
| |
Identify the noise in the audio file? Directly show sound labels without middle steps.
|
Alamation, the orange detachment of the people,
|
OpoadN5TZq8
|
as_strong_train
|
cla_label
|
Male singing, Crowd, Music, Clapping, Speech, Male speech, man speaking, Shout
| |
Audio clip comprises of? Provide only audio tags.
|
Thank you.
|
2ByuZ7adYnw
|
as_20k
|
cla_label
|
Telephone, Dial tone
| |
Closed-ended question: Classify the audio event in clip.
|
I don't know how fast it is, but it's showing a pretty good speed. But it's blocking this area.
|
2TKI-xjQNeY
|
as_strong_train
|
cla_label
|
Male speech, man speaking, Conversation, Hubbub, speech noise, speech babble, Generic impact sounds
| |
Includes various sounds in audio clip.
|
3kZm5SY0vek
|
as_20k
|
cla_label
|
Music, Synthetic singing
| ||
Identify audio clip's sound:
|
Thank you.
|
XHcTRI5hgDU
|
as_strong_train
|
cla_label
|
Applause, Male speech, man speaking, Shout, Laughter, Music
| |
Closed-ended question: What noises are in the clip?
|
58f4AsxOYhU
|
as_20k
|
cla_label
|
Music, Pulse, Electronica, Electronic music
| ||
Closed-ended question: Identify audio clip sounds:
|
bBuCm-GGjSY
|
as_strong_train
|
cla_label
|
Background noise, Engine starting, Jet engine
| ||
Identify the noise in the audio clip:
|
Bye!
|
FqzeCJV0kyQ
|
as_strong_train
|
cla_label
|
Laughter, Background noise, Clapping, Conversation, Male speech, man speaking, Sniff, Throat clearing, Female speech, woman speaking, Generic impact sounds, Human voice, Slurp, drinking straw
| |
Closed-ended question: Classify given audio clip's events.
|
I'm going to want to identify each of the parts in the table as they relate to the number that I'm given.
|
Dajgk7MeHmE
|
as_strong_train
|
cla_label
|
Female speech, woman speaking, Background noise, Breathing
| |
Classify audio event of provided clip.
|
Okay, ready for the next one? Coming up on the 2-hour reality show, audition and research and Q&A. We will tell you how, during our second half.
|
VfsBcSqJ6IE
|
as_strong_train
|
cla_label
|
Mechanisms, Breathing, Male speech, man speaking, Clapping, Crowd
| |
What can be heard in the audio? Just extract audio tags.
|
pTMmGpALhfk
|
as_strong_train
|
cla_label
|
Accelerating, revving, vroom, Engine
| ||
Identify audio clip sounds? Produce only audio tags.
|
Thank you. Please subscribe, leave a comment, like. Bye, bye. Aunt vow. Good night. YouTube. Whoa, dang. Google. That's good. N housing.欢迎因. Ty to YouTube. Like and subscribe. Welcome to Facebook page. Now go watch lots of incredible bed generic bed with lenses, like NFC HD view, super wide angle lenses, video essentially AMD fx lens. I really love NFC.
|
wkD_Negzzng
|
as_strong_train
|
cla_label
|
Power tool
| |
Closed-ended question: This audio clip contains the following sounds? Produce audio tags exclusively.
|
Can I help you out? Hey performer job products.
|
3CS2JxoplKg
|
as_strong_train
|
cla_label
|
Mechanisms, Yip, Human voice, Female speech, woman speaking, Conversation, Tick, Whimper (dog)
| |
Closed-ended question: Classify audio event for this clip.
|
h4jBxan3XSo
|
as_strong_train
|
cla_label
|
Generic impact sounds, Mechanisms, Video game sound, Sound effect, Bird vocalization, bird call, bird song, Human voice
| ||
Identify the sound in the clip.
|
a real beefy spring steel hammer to it and next to each other really.
|
WnxQAuThbXg
|
as_20k
|
cla_label
|
Bicycle bell, Speech
| |
Closed-ended question: Classify the audio event in clip, output only audio labels.
|
83fa4FPQTtU
|
as_strong_train
|
cla_label
|
Generic impact sounds, Boat, Water vehicle, Water, Drip
| ||
Closed-ended question: Noises in the audio consist of? Produce solely audio markers.
|
iraM9zkOjXI
|
as_strong_train
|
cla_label
|
Race car, auto racing, Generic impact sounds, Male speech, man speaking, Accelerating, revving, vroom, Tire squeal, skidding
| ||
Closed-ended question: Audio clip features these sounds? Produce only audio labels as output.
|
Thank you.
|
wBe5tW8iJew
|
as_20k
|
cla_label
|
Cello, Double bass, Bowed string instrument, Violin, fiddle, String section
| |
Closed-ended question: Identify noise from recording:
|
2mGm9YpJb7o
|
as_strong_train
|
cla_label
|
Bicycle, tricycle, Music
| ||
Audio includes the following sounds:
|
Very simple, so come on inside, let's take a look. Got the wood stove going, fire is nice and hot. Close that up.
|
pNTLvDgzQvM
|
as_20k
|
cla_label
|
Fire, Wind noise (microphone), Wind
| |
Closed-ended question: What noises can be heard in the clip?
|
C1QwmB5f6Ho
|
as_strong_train
|
cla_label
|
Sound effect
| ||
Closed-ended question: Audio includes the following sounds? Skip intermediate stages and produce sound labels.
|
Party people! Can you feel love?
|
OHHC_F-nuzs
|
as_strong_train
|
cla_label
|
Video game sound, Explosion, Male speech, man speaking, Music
| |
Closed-ended question: Analyze audio events in clip given, directly output sound labels without intermediaries.
|
3, 2, 1 and...
|
4BTinxmALc4
|
as_strong_train
|
cla_label
|
Male speech, man speaking, Tick, Whip, Breathing, Mechanisms
| |
Closed-ended question: Audio comprises of the following sounds? Skip middle steps, output labels directly.
|
5H85RDA5HEw
|
as_strong_train
|
cla_label
|
Music
| ||
Closed-ended question: Audio clip has sounds like:
|
znp2bWk4eHQ
|
as_strong_train
|
cla_label
|
Car, Wind, Train horn, Wind noise (microphone), Accelerating, revving, vroom
| ||
Noises featured in the audio are:
|
And uh, it's a slit on the lines. fans cheering
|
fWsZ2tzfuEU
|
as_20k
|
cla_label
|
Tap, Speech
| |
Audio clip comprises of following sounds, directly output sound labels without intermediaries.
|
sERATwXLOsA
|
as_strong_train
|
cla_label
|
Male singing, Music, Female singing
| ||
Identify the sound in the clip, skip intermediate stages and produce sound labels.
|
HuVgc2jf0Ec
|
as_20k
|
cla_label
|
Music, Musical instrument, Accordion
| ||
Closed-ended question: Audio clip consists of these noises:
|
CMvB0PUogFM
|
as_strong_train
|
cla_label
|
Television, Mechanisms, Generic impact sounds, Male speech, man speaking, Speech
| ||
Identify the audio sound? Output sound labels without intermediaries.
|
5
|
hoSFVXghG64
|
as_strong_train
|
cla_label
|
Music, Female singing
| |
Closed-ended question: What noises can you hear in the clip? Produce solely audio tags:
|
...
|
e1r5c6u62js
|
as_strong_train
|
cla_label
|
Conversation, Mechanisms, Male speech, man speaking, Tick, Female speech, woman speaking, Mouse
| |
Closed-ended question: Identify the sound in the clip, produce solely audio designations.
|
P insanity I'm done!
|
V_MV1LbIz9Y
|
as_strong_train
|
cla_label
|
Squeal, Vacuum cleaner
| |
Classify the given audio clip, show only audio tags in output.
|
Как sauce?
|
BUdYFfOoSJ4
|
as_strong_train
|
cla_label
|
Generic impact sounds, Mechanisms, Sewing machine
| |
Identify the sound from the audio, only extract audio tags.
|
REPLAY
|
wcLPCMoy5hk
|
as_20k
|
cla_label
|
Brass instrument, Wind instrument, woodwind instrument, Saxophone
| |
Classify audio clip by its events.
|
subscribe to my channel for more starve content!
|
2dZ2t90Luts
|
as_20k
|
cla_label
|
Whir, Speech
| |
Noises in this sound bite comprise of:
|
4MYmnpPvBmo
|
as_strong_train
|
cla_label
|
Mechanisms, Generic impact sounds
| ||
Classify audio events in this audio clip, skip steps and directly output sound labels.
|
lsch sm winds Who Yeah...
|
3qC38zR4qLI
|
as_strong_train
|
cla_label
|
Male speech, man speaking, Tap, Truck
|
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