Datasets:
id int64 183 61.6k | video_name stringlengths 18 18 | video_id int64 341 76.9k | question_text stringclasses 775
values | multi_choice listlengths 4 4 | answer int64 0 3 | question_relation stringclasses 3
values | question_type stringclasses 8
values |
|---|---|---|---|---|---|---|---|
183 | -HG3Omg_89c_000030 | 341 | What happened in the video? | [
"motorboat",
"Yacht consignment",
"Sailboat set sail",
"Consignment car"
] | 1 | View | Happening |
184 | -HIPq7T3eFI_000011 | 342 | What is the main source of sound in the video? | [
"Car",
"motorcycle",
"siren",
"gun fire"
] | 0 | Both | Come From |
185 | -HJQVouJd2w_000026 | 343 | What animal is in the video? | [
"dove",
"chicken",
"crow",
"swallow"
] | 0 | Both | Which |
186 | -HLTp7gPBEw_000030 | 344 | What are the main sources of sound in the video? | [
"chicken",
"cat",
"dog",
"turkey"
] | 1 | Both | Come From |
188 | -HUcjhcskP4_000040 | 349 | What are the main sources of sound in the video? | [
"sound of wind",
"Water flow sound",
"tram",
"using a sewing machine"
] | 2 | Both | Come From |
189 | -HXwnBVE19E_000002 | 350 | What happened in the video? | [
"riding",
"cattle",
"donkey",
"Shooting"
] | 0 | Both | Happening |
190 | -Hb1-ExzeHM_000510 | 352 | Where did the video take place? | [
"train",
"aquatic",
"bus station",
"Metro Station"
] | 3 | Both | Where |
191 | -HxQ9AoyRmY_000030 | 355 | What is shown in the video? | [
"A flock of chickens",
"frog",
"gibbon",
"duck"
] | 0 | Both | Which |
194 | -I3iXzsmvRE_000017 | 358 | What are the main sources of sound in the video? | [
"wolf",
"apes and monkeys",
"duck",
"lion"
] | 1 | Both | Come From |
195 | -IBtBeR6B00_000000 | 361 | What is the main source of sound in the video? | [
"aircraft",
"Car",
"Tank",
"Missile"
] | 1 | Both | Come From |
197 | -IBXTktoom8_000030 | 360 | What animal is the main source of sound in the video? | [
"dog",
"wasp",
"honeybee",
"dragonfly"
] | 2 | Both | Come From |
200 | -IFRoPYS5cI_000001 | 362 | What is the main source of sound in the video? | [
"toilet flush sound",
"play the drum",
"hail",
"automobile engine starting"
] | 2 | Both | Happening |
201 | -II-7qJxKPc_000021 | 363 | Where did the video take place? | [
"On the road",
"aquatic",
"street",
"By the car"
] | 0 | Both | Where |
204 | -I_BmSTd6AA_000002 | 369 | What happened in the video? | [
"racing",
"winter outdoor swimming",
"skiing",
"nailing"
] | 2 | Both | Happening |
205 | -INNrk4mik4_000031 | 368 | What's the call? | [
"police car siren",
"A rooster crows",
"Quack ",
"frog"
] | 3 | View | Happening |
208 | -HNOW_OlVLA_000000 | 347 | What's that noise? | [
"firecrackers ",
"Car sound",
"tornado",
"Thunder and lightning"
] | 2 | Sound | Which |
213 | -Ij4uiLRp94_000020 | 371 | What kind of sport is this? | [
"motorcycle",
"play football",
"racing",
"Pole vault"
] | 2 | View | Happening |
214 | -IopFsEU_iE_000120 | 372 | What is the source of the sound in the video? | [
"Water flow sound",
"Car sound",
"tram",
"The sound of a ship"
] | 2 | Both | Which |
215 | -It4-b7T5AQ_000043 | 374 | What happened in the video? | [
"a sunny day",
"It's Hailing",
"a furious storm",
"Flood"
] | 1 | Both | Which |
216 | -IpGWTs7ckQ_000010 | 373 | What's the weather like? | [
"a furious storm",
"the wind is mild and the sun is bright",
"Dark clouds",
"The typhoon is coming"
] | 0 | Both | Happening |
218 | -JBRB2gGWDA_000004 | 377 | What are the people doing in the video? | [
"riding",
"diving",
"eat something",
"Parachute jump"
] | 1 | Both | Which |
220 | -JC9g19P-vU_000035 | 379 | What's calling? | [
"chicken",
"crow",
"cock",
"lion"
] | 1 | Both | Which |
221 | -JMHRrms_Cg_000002 | 382 | What's that call? | [
"dog",
"Cicada call",
"Children cry",
"The sound of music"
] | 0 | Both | Which |
222 | -JGpAlLrSD0_000458 | 380 | What is the source of the sound in the video? | [
"sound of wind",
"engine acceleration",
"highway",
"train"
] | 3 | Both | Which |
223 | -JUhUI_KvUI_000026 | 384 | What are you calling? | [
"Gibbon",
"bird",
"gibbon",
"black bear"
] | 0 | Both | Which |
224 | -JVYFW4VyKc_000019 | 385 | What did you hear? | [
"sound of wind",
"Flute sound",
"The sound of playing the piano",
"cowbell "
] | 3 | Both | Which |
225 | -JZTO8CDIc4_000834 | 388 | What animal is this? | [
"Alpaca",
"pheasant",
"dog",
"cat"
] | 3 | View | Which |
226 | -JZmJjnR1oc_000022 | 389 | What happened? | [
"pump",
"firecrackers",
"smoke",
"Volcanic explosion"
] | 3 | Both | Happening |
227 | -JZTO8CDIc4_000114 | 387 | What does it show? | [
"bird",
"cat",
"Goldfish",
"The dog wants to sleep"
] | 1 | Both | Which |
228 | -J_Lm_eqp0U_000102 | 390 | What is she doing? | [
"Rope skipping",
"rowing",
"Stamp one's foot",
"speech"
] | 2 | Both | Which |
229 | -JaUsb1_IbI_000030 | 391 | What's that noise? | [
"skiing",
"disco dancing",
"The sound of running water",
"sing"
] | 3 | Sound | Which |
230 | -JTbHL7OKf0_000052 | 383 | What's calling? | [
"train",
"Hyenas",
"sound of wind",
"rowboat"
] | 1 | Both | Which |
232 | -Jcl3FrHFCc_000151 | 393 | What does sound come from? | [
"train",
"sound of wind",
"planing",
"aircraft"
] | 3 | Both | Come From |
233 | -JflnolHaIw_000060 | 394 | What's calling? | [
"cattle",
"gibbon",
"cock",
"Peacock's cry"
] | 2 | Both | Which |
234 | -JioP2hVPEw_000005 | 395 | What animal is barking? | [
"horse",
"cattle",
"sheep",
"dog"
] | 2 | Both | Which |
236 | -Jo_AtiSodU_000053 | 397 | What is the man doing? | [
"Cutting plastic bottles",
"cut up vegetables",
"cook",
"Handmade"
] | 0 | Both | Happening |
237 | -JVYFW4VyKc_000117 | 386 | What animal is eating grass? | [
"horse",
"pheasant",
"cattle",
"bird"
] | 2 | View | Happening |
239 | -JtMqnUxmjM_000030 | 400 | What happened? | [
"riding",
"rowboat",
"diving",
"driving a racing car"
] | 1 | Both | Happening |
240 | -K28XZWiDeo_000030 | 402 | What is this man doing? | [
"go fishing",
"rowing",
"fire engine",
"setting off fireworks"
] | 0 | Both | Happening |
241 | -K2ZCILVbbk_000027 | 403 | What animal is it? | [
"fish",
"crocodile",
"lobster",
"Sea snake"
] | 0 | Both | Which |
242 | -K5XHzL1nz8_000076 | 404 | What is the main source of sound in the video? | [
"The magpie calls",
"police car siren",
"dog's bark",
"cheep "
] | 0 | Both | Which |
246 | -KCeHYx5uRg_000030 | 408 | What is the main source of sound in video? | [
"remote controlled aircraft",
"highway",
"motorboat",
"Fishing boat"
] | 2 | Both | Which |
247 | -KECxvZZHYg_000030 | 409 | What happened in the video? | [
"motorcycle",
"skiing",
"cry for help",
"Command aircraft descent"
] | 2 | Both | Happening |
248 | -Jpsuiuob48_000001 | 399 | What is the main source of sound? | [
"police car siren",
"sound of wind",
"The wolf barked",
"Thunder and lightning"
] | 1 | Both | Which |
249 | -KF14ruwGxk_000135 | 410 | What does sound come from? | [
"Civil defense alarm",
"train",
"fireworks",
"bomber"
] | 0 | Both | Which |
250 | -KJbMzEiYFA_000080 | 411 | What is the main source of sound in the video? | [
"Cows moo",
"pheasant",
"pig",
"Birdsong"
] | 0 | Both | Which |
251 | -KOgOEvhrbw_000154 | 414 | What happened in the video? | [
"Machine gun fire",
"cut grass",
"shell",
"Fire drill"
] | 0 | Both | Happening |
254 | -KYjWhzJ3Mk_000005 | 418 | What animal makes a sound in the video? | [
"cricket",
"snail",
"pistol",
"Birdsong"
] | 0 | Both | Which |
255 | -KdBaGgzf4w_000027 | 419 | What is the main source of sound in the video? | [
"aircraft",
"train",
"fireworks",
"typhoon"
] | 0 | Both | Which |
256 | -KdBaGgzf4w_000070 | 420 | What is the source of the sound in the video? | [
"train",
"aircraft",
"sea wave",
"typhoon"
] | 1 | Both | Come From |
257 | -KeQVqJESLc_000030 | 421 | What is the main source of sound in the video? | [
"flow",
"waterfall",
"scream",
"highway"
] | 2 | Both | Come From |
259 | -KifOY3Xxd8_000006 | 423 | What animal is barking? | [
"crow",
"dog",
"Magpie",
"cat"
] | 0 | Both | Which |
261 | -KpXEoL4rW8_000011 | 426 | What animal is barking? | [
"pheasant",
"dog",
"cat",
"wolf"
] | 3 | Both | Which |
264 | -LGTb-xyjzA_000011 | 429 | What does sound come from? | [
"Dog barking",
"Ambulance siren",
"sound of wind",
"blast"
] | 1 | Both | Come From |
265 | -LITfve3SnU_000020 | 430 | What animal sounds? | [
"cattle",
"wolf",
"Tiger call",
"lion"
] | 3 | Both | Which |
267 | -LP9auWyYe8_000030 | 432 | What does sound come from? | [
"train",
"automobile",
"The sound of the trumpet",
"Airplane noise"
] | 0 | Both | Come From |
268 | -LS-JevBX3E_000030 | 433 | What animal is it? | [
"Alpaca",
"bird",
"turkey",
"cat"
] | 3 | Both | Which |
269 | -L_--bn4bys_000008 | 434 | What is the main source of sound in the video? | [
"diving",
"riding",
"fish",
"sea turtle"
] | 0 | Both | Come From |
270 | -L_--bn4bys_000045 | 435 | What animal is it? | [
"tortoise",
"fish",
"whale",
"octopus"
] | 0 | Both | Which |
271 | -LbwHG1fr3Q_000000 | 437 | What animal is it? | [
"Magpie",
"cat",
"pheasant",
"owl"
] | 2 | Both | Which |
272 | -Lei1usDQio_000020 | 438 | What is the main source of sound in the video? | [
"The dog barked",
"cheep ",
"The duckling barks",
"Gosling calls"
] | 2 | Both | Come From |
273 | -LmSy9cDMXY_000030 | 439 | What animal is it? | [
"chicken",
"Magpie",
"owl",
"dove"
] | 3 | Both | Which |
274 | -Ln9HQ6lLtI_000050 | 440 | What animal is barking? | [
"cat",
"dog",
"bird",
"pig"
] | 0 | Both | Which |
275 | -Lv13WPa4xk_000170 | 441 | What happened in the video? | [
"Birdsong",
"automobile engine",
"Car whistle",
"Take off"
] | 3 | Both | Which |
277 | -LxtesAXWIU_000042 | 444 | What animal is barking? | [
"cricket",
"highway",
"bird",
"whale"
] | 0 | Both | Which |
278 | -LzsgrGPV6o_000030 | 445 | What does sound come from? | [
"weed",
"shell",
"bomber",
"Machine gun fire"
] | 3 | Both | Come From |
279 | -M-Zl_498bE_000022 | 446 | What happened? | [
"waterfall",
"pump",
"flood",
"cars crush things"
] | 2 | Both | Which |
281 | -M8qt69nljE_000030 | 448 | What animal is barking? | [
"frog",
"cock",
"turkey",
"owl"
] | 2 | Both | Which |
283 | -M9But-Hb_A_000001 | 450 | What animal is barking? | [
"cattle",
"crow",
"canary",
"myna"
] | 1 | Both | Which |
284 | -M9But-Hb_A_000016 | 451 | What animal is it? | [
"Magpie",
"owl",
"crow",
"Pterosaur"
] | 2 | Both | Which |
285 | -MGxPJLnfW0_000504 | 452 | What animal is it? | [
"bird",
"cat",
"cricket",
"hyenas"
] | 1 | Both | Which |
286 | -MHf8CqWM9o_000210 | 453 | What animal is it? | [
"chicken",
"Magpie",
"cock",
"dove"
] | 3 | Both | Which |
287 | -MIIsQQJO2o_000030 | 454 | What does sound come from? | [
"flow",
"sound of wind",
"Birdsong",
"underwater sound"
] | 2 | Both | Come From |
289 | -MWJU5Kuyoc_000009 | 456 | What animal makes a sound? | [
"lizard",
"snake",
"centipede",
"house lizard"
] | 1 | Both | Which |
290 | -Mddauh3c9Y_000020 | 457 | What is the main source of sound in the video? | [
"Sewing machine",
"staple books",
"Ramming machine",
"loom"
] | 0 | Both | Come From |
291 | -MixfkIwVwk_000230 | 459 | What does sound come from? | [
"sound of wind",
"Bee buzz",
"The sound of crickets",
"Parrot sound"
] | 1 | Both | Come From |
292 | -MpHHhlayU8_000093 | 462 | What does sound come from? | [
"train",
"automobile",
"metro",
"bus"
] | 2 | Both | Which |
293 | -Mqa-jaS9SU_000010 | 463 | What does sound come from? | [
"train",
"automobile",
"Tractor",
"police car"
] | 3 | Both | Come From |
294 | -Mspe010C24_000003 | 464 | What animal is it? | [
"dog",
"Alpaca",
"cat",
"bird"
] | 0 | Both | Which |
297 | -Mk24ZH_zxg_000347 | 460 | What are the people doing in the video? | [
"Feeding crocodiles",
"Touch the crocodile",
"Training crocodiles",
"To tease crocodiles"
] | 1 | Both | Happening |
300 | -NPu34as_OY_000007 | 467 | What animal is calling in the video? | [
"Alpaca",
"chicken",
"cat",
"dog"
] | 2 | Both | Which |
302 | -N_S8kZxh-M_000152 | 469 | What are the people doing in the video? | [
"sow",
"cut grass",
"Spraying pesticides",
"watering"
] | 3 | View | Happening |
303 | -N_dNiJ7_Ng_000240 | 470 | What animal is the main source of sound in the video? | [
"wild goose",
"Petrel",
"gibbon",
"cockcrow"
] | 0 | Both | Come From |
305 | -Nis-cumBYc_000250 | 471 | Where did the video take place? | [
"expressway",
"airport",
"square",
"Racetrack"
] | 3 | Both | Where |
306 | -NjhRZWnryk_000066 | 472 | What are the people doing in the video? | [
"Cutting down trees",
"Make furniture",
"Nailing",
"To be a bench"
] | 2 | View | Happening |
307 | -NjhRZWnryk_000087 | 473 | What are the people doing in the video? | [
"Cut wood",
"Drive a nail",
"Make furniture",
"To be a bench"
] | 1 | View | Happening |
309 | -NrFtZ_xxFU_000030 | 477 | What is the main source of sound in the video? | [
"train",
"aircraft",
"highway",
"tram"
] | 3 | Both | Come From |
310 | -NromfAJyZs_000030 | 478 | What are the people doing in the video? | [
"Cross country running",
"bombardment",
"telescope",
"Machine gun fire"
] | 3 | Both | Happening |
312 | -Nt1irryFtQ_000126 | 480 | What animal is in the video? | [
"cricket",
"Chipmunks",
"snake",
"Mouse"
] | 1 | View | Which |
313 | -NxAELmUcec_000053 | 481 | What is the main source of sound in the video? | [
"automobile",
"train",
"ship",
"kettle"
] | 1 | Both | Come From |
314 | -NznnSyx0gU_000107 | 482 | Where did the video take place? | [
"farm",
"farm",
"Open field",
"Countryside"
] | 0 | Both | Where |
315 | -OHG7-BI0aU_000030 | 485 | What animal is the main source of sound in the video? | [
"cock",
"owl",
"pheasant",
"dove"
] | 3 | Both | Come From |
316 | -OI4VoCS28I_000005 | 486 | What animal makes a sound in the video? | [
"Alpaca",
"cat",
"lion",
"dog"
] | 3 | Both | Which |
317 | -OI4VoCS28I_000057 | 487 | What happened in the video? | [
"Imitate the barking of a dog",
"The dog howled",
"The dog's cry",
"Dog's coquetry"
] | 0 | Both | Happening |
319 | -OOLOgPZvvE_000010 | 490 | What animal is the main source of sound in the video? | [
"bird",
"chicken",
"cock",
"Red-crowned crane"
] | 0 | Both | Come From |
320 | -OQ3KFwzLCI_000288 | 491 | What happened in the video? | [
"grenade",
"fly a kite",
"Setting off fireworks",
"Salute"
] | 2 | Both | Happening |
321 | -OQ3KFwzLCI_000474 | 492 | What happened in the video? | [
"Smoke bomb",
"Setting off fireworks",
"fly a kite",
"tear bomb"
] | 1 | Both | Happening |
323 | -ORyFN4frM0_000085 | 496 | What happened in the video? | [
"Block shot",
"Pistol shooting",
"The lighter is on fire",
"Machine gun fire"
] | 0 | Both | Happening |
324 | -OT1ajYwQcM_000026 | 497 | What animal is the main source of sound in the video? | [
"lark",
"dove",
"Thrush",
"cock"
] | 2 | Both | Come From |
325 | -LaXovjQvDY_000008 | 436 | What are the natural disasters in the video? | [
"pump",
"Fire cloud",
"Volcano eruption",
"Volcano eruption"
] | 2 | Both | Which |
End of preview. Expand in Data Studio
AVQA — Audio-Visual Question Answering (videos + annotations)
A drop-in package of the AVQA dataset (Yang et al., ACM MM 2022): real-life audio-visual question answering over short in-the-wild clips. The original release ships only the QA annotations and expects users to collect the source videos from VGGSound themselves. This repository bundles the source video clips together with the official train/val annotations, so the dataset is usable without any YouTube scraping.
What's inside
videos/<video_name>.mp4 # 56,666 clips, ~10 s each, H.264 video + AAC audio
train_qa.json # 40,425 QA pairs
val_qa.json # 16,910 QA pairs
- Videos are VGGSound clips, named
<youtube_id>_<start_seconds>— identical to thevideo_namefield in the annotations, so each question maps directly to a file. - Coverage: 56,666 of the 57,015 referenced clips are present (99.4 % of all QA pairs). The missing ~0.6 % are source clips that are no longer retrievable.
Annotation schema
Each record in train_qa.json / val_qa.json:
| field | meaning |
|---|---|
video_name |
clip id; the file is videos/<video_name>.mp4 |
question_text |
the question |
multi_choice |
list of 4 answer options |
answer |
index (0–3) of the correct option within multi_choice |
question_relation |
modality needed to answer: Sound / View / Both |
question_type |
question category: Happening / Come From / Which / Where / Why / When / Before Next / Used For |
id, video_id |
numeric ids from the original release |
Usage
import json, os
qa = json.load(open("train_qa.json"))
ex = qa[0]
video = os.path.join("videos", ex["video_name"] + ".mp4")
options = ex["multi_choice"]
gold = options[ex["answer"]]
print(ex["question_text"], options, "->", gold, "| modality:", ex["question_relation"])
Download the whole dataset:
hf download juyil/AVQA-videos --repo-type dataset --local-dir AVQA
Provenance & credits
- Annotations are from the original AVQA release (GitHub:
AlyssaYoung/AVQA). All annotation rights belong to the original authors. - Videos are clips from VGGSound (Chen et al., ICASSP 2020), which are segments of public YouTube videos. Copyright of the underlying footage remains with the original uploaders.
Citation
@inproceedings{yang2022avqa,
title = {AVQA: A Dataset for Audio-Visual Question Answering on Videos},
author = {Yang, Pinci and Wang, Xin and Duan, Xuguang and Chen, Hong and
Hou, Runze and Jin, Cong and Zhu, Wenwu},
booktitle = {Proceedings of the 30th ACM International Conference on Multimedia},
year = {2022}
}
@inproceedings{chen2020vggsound,
title = {VGGSound: A Large-scale Audio-Visual Dataset},
author = {Chen, Honglie and Xie, Weidi and Vedaldi, Andrea and Zisserman, Andrew},
booktitle = {ICASSP},
year = {2020}
}
Disclaimer
Provided for non-commercial research only. The video segments originate from YouTube via VGGSound; all rights remain with their respective owners. If you are a rights holder and would like content removed, please open a discussion on this repository.
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