instruction stringlengths 11 133 | input stringlengths 0 626 | audio_id stringlengths 11 11 | dataset stringclasses 2
values | task stringclasses 1
value | output stringlengths 3 232 | audio audioduration (s) 0.62 10 |
|---|---|---|---|---|---|---|
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 essent... | 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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