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train
train_s000000_mixed_temporal_shift_n06_dur069_q00
train_s000000_mixed_temporal_shift_n06_dur069
videos/train/mixed_temporal_shift/train_s000000_mixed_temporal_shift_n06_dur069.mp4
male speech, man speaking
0
mixed_temporal_shift
6
68.88
9.04
aligned
0
[ [ 3, 12.04 ] ]
[ [ 3, 12.04 ] ]
[ [ 3, 12.04 ] ]
[ [ 3, 12.04 ] ]
17,145
3NYp1ocTkFo
train
train_s000000_mixed_temporal_shift_n06_dur069_q01
train_s000000_mixed_temporal_shift_n06_dur069
videos/train/mixed_temporal_shift/train_s000000_mixed_temporal_shift_n06_dur069.mp4
female singing
1
mixed_temporal_shift
6
68.88
9.293
aligned
0
[ [ 15.04, 24.333 ] ]
[ [ 15.04, 24.333 ] ]
[ [ 15.04, 24.333 ] ]
[ [ 15.04, 24.333 ] ]
25,832
5mZY0UDJt2A
train
train_s000000_mixed_temporal_shift_n06_dur069_q02
train_s000000_mixed_temporal_shift_n06_dur069
videos/train/mixed_temporal_shift/train_s000000_mixed_temporal_shift_n06_dur069.mp4
male singing
2
mixed_temporal_shift
6
68.88
5.397
aligned
0
[ [ 27.333, 32.731 ] ]
[ [ 27.333, 32.731 ] ]
[ [ 27.333, 32.731 ] ]
[ [ 27.333, 32.731 ] ]
29,895
6xfS45BvqFU
train
train_s000000_mixed_temporal_shift_n06_dur069_q03
train_s000000_mixed_temporal_shift_n06_dur069
videos/train/mixed_temporal_shift/train_s000000_mixed_temporal_shift_n06_dur069.mp4
female speech, woman speaking
3
mixed_temporal_shift
6
68.88
6.06
audio_lead
-0.728
[ [ 36.458, 42.518 ] ]
[ [ 35.731, 41.79 ] ]
[ [ 35.731, 42.518 ] ]
[ [ 36.458, 41.79 ] ]
33,334
7y_pt2WEDKs
train
train_s000000_mixed_temporal_shift_n06_dur069_q04
train_s000000_mixed_temporal_shift_n06_dur069
videos/train/mixed_temporal_shift/train_s000000_mixed_temporal_shift_n06_dur069.mp4
playing electric guitar
4
mixed_temporal_shift
6
68.88
7.705
audio_delay
3.47
[ [ 45.518, 53.224 ] ]
[ [ 48.988, 56.694 ] ]
[ [ 45.518, 56.694 ] ]
[ [ 48.988, 53.224 ] ]
18,404
3hks8g43WSU
train
train_s000000_mixed_temporal_shift_n06_dur069_q05
train_s000000_mixed_temporal_shift_n06_dur069
videos/train/mixed_temporal_shift/train_s000000_mixed_temporal_shift_n06_dur069.mp4
playing acoustic guitar
5
mixed_temporal_shift
6
68.88
5.305
audio_delay
0.881
[ [ 59.694, 64.999 ] ]
[ [ 60.575, 65.88 ] ]
[ [ 59.694, 65.88 ] ]
[ [ 60.575, 64.999 ] ]
9,181
1JT1cuBnUEw
train
train_s000001_mixed_temporal_shift_n09_dur112_q00
train_s000001_mixed_temporal_shift_n09_dur112
videos/train/mixed_temporal_shift/train_s000001_mixed_temporal_shift_n09_dur112.mp4
male singing
0
mixed_temporal_shift
9
112.304
9.47
audio_lead
-6.034
[ [ 9.034, 18.505 ] ]
[ [ 3, 12.47 ] ]
[ [ 3, 18.505 ] ]
[ [ 9.034, 12.47 ] ]
716
-A4WdJoJe7c
train
train_s000001_mixed_temporal_shift_n09_dur112_q01
train_s000001_mixed_temporal_shift_n09_dur112
videos/train/mixed_temporal_shift/train_s000001_mixed_temporal_shift_n09_dur112.mp4
playing electric guitar
1
mixed_temporal_shift
9
112.304
6.904
audio_delay
3.344
[ [ 21.505, 28.408 ] ]
[ [ 24.848, 31.752 ] ]
[ [ 21.505, 31.752 ] ]
[ [ 24.848, 28.408 ] ]
25,037
5_7Hyyoz2BM
train
train_s000001_mixed_temporal_shift_n09_dur112_q02
train_s000001_mixed_temporal_shift_n09_dur112
videos/train/mixed_temporal_shift/train_s000001_mixed_temporal_shift_n09_dur112.mp4
playing acoustic guitar
2
mixed_temporal_shift
9
112.304
6.145
audio_lead
-3.635
[ [ 38.387, 44.533 ] ]
[ [ 34.752, 40.898 ] ]
[ [ 34.752, 44.533 ] ]
[ [ 38.387, 40.898 ] ]
31,046
7G97_TZvvvQ
train
train_s000001_mixed_temporal_shift_n09_dur112_q03
train_s000001_mixed_temporal_shift_n09_dur112
videos/train/mixed_temporal_shift/train_s000001_mixed_temporal_shift_n09_dur112.mp4
playing violin, fiddle
3
mixed_temporal_shift
9
112.304
5.089
aligned
0
[ [ 47.533, 52.621 ] ]
[ [ 47.533, 52.621 ] ]
[ [ 47.533, 52.621 ] ]
[ [ 47.533, 52.621 ] ]
51,685
DRGD6sMSGKw
train
train_s000001_mixed_temporal_shift_n09_dur112_q04
train_s000001_mixed_temporal_shift_n09_dur112
videos/train/mixed_temporal_shift/train_s000001_mixed_temporal_shift_n09_dur112.mp4
people crowd
4
mixed_temporal_shift
9
112.304
7.619
aligned
0
[ [ 55.621, 63.24 ] ]
[ [ 55.621, 63.24 ] ]
[ [ 55.621, 63.24 ] ]
[ [ 55.621, 63.24 ] ]
53,309
Ds4Y4TH8xo8
train
train_s000001_mixed_temporal_shift_n09_dur112_q05
train_s000001_mixed_temporal_shift_n09_dur112
videos/train/mixed_temporal_shift/train_s000001_mixed_temporal_shift_n09_dur112.mp4
playing flute
5
mixed_temporal_shift
9
112.304
7.703
audio_lead
-1.03
[ [ 67.27, 74.973 ] ]
[ [ 66.24, 73.943 ] ]
[ [ 66.24, 74.973 ] ]
[ [ 67.27, 73.943 ] ]
6,868
0gB3liqZO3Y
train
train_s000001_mixed_temporal_shift_n09_dur112_q06
train_s000001_mixed_temporal_shift_n09_dur112
videos/train/mixed_temporal_shift/train_s000001_mixed_temporal_shift_n09_dur112.mp4
railroad car, train wagon
6
mixed_temporal_shift
9
112.304
5.416
audio_delay
2.65
[ [ 77.973, 83.389 ] ]
[ [ 80.623, 86.039 ] ]
[ [ 77.973, 86.039 ] ]
[ [ 80.623, 83.389 ] ]
10,881
1jawOONQzZs
train
train_s000001_mixed_temporal_shift_n09_dur112_q07
train_s000001_mixed_temporal_shift_n09_dur112
videos/train/mixed_temporal_shift/train_s000001_mixed_temporal_shift_n09_dur112.mp4
horse clip-clop
7
mixed_temporal_shift
9
112.304
6.696
audio_lead
-2.534
[ [ 91.573, 98.268 ] ]
[ [ 89.039, 95.734 ] ]
[ [ 89.039, 98.268 ] ]
[ [ 91.573, 95.734 ] ]
37,588
9H2aJJiGd0Q
train
train_s000001_mixed_temporal_shift_n09_dur112_q08
train_s000001_mixed_temporal_shift_n09_dur112
videos/train/mixed_temporal_shift/train_s000001_mixed_temporal_shift_n09_dur112.mp4
playing accordion
8
mixed_temporal_shift
9
112.304
6.665
audio_delay
1.37
[ [ 101.268, 107.934 ] ]
[ [ 102.638, 109.304 ] ]
[ [ 101.268, 109.304 ] ]
[ [ 102.638, 107.934 ] ]
1,878
-SdAy1I4yMA
train
train_s000002_mixed_temporal_shift_n09_dur106_q00
train_s000002_mixed_temporal_shift_n09_dur106
videos/train/mixed_temporal_shift/train_s000002_mixed_temporal_shift_n09_dur106.mp4
male speech, man speaking
0
mixed_temporal_shift
9
106.238
7.466
aligned
0
[ [ 3, 10.466 ] ]
[ [ 3, 10.466 ] ]
[ [ 3, 10.466 ] ]
[ [ 3, 10.466 ] ]
32,710
7l7ahtEKfRs
train
train_s000002_mixed_temporal_shift_n09_dur106_q01
train_s000002_mixed_temporal_shift_n09_dur106
videos/train/mixed_temporal_shift/train_s000002_mixed_temporal_shift_n09_dur106.mp4
female singing
1
mixed_temporal_shift
9
106.238
5.091
aligned
0
[ [ 13.466, 18.556 ] ]
[ [ 13.466, 18.556 ] ]
[ [ 13.466, 18.556 ] ]
[ [ 13.466, 18.556 ] ]
13,280
2O9jO0gRIms
train
train_s000002_mixed_temporal_shift_n09_dur106_q02
train_s000002_mixed_temporal_shift_n09_dur106
videos/train/mixed_temporal_shift/train_s000002_mixed_temporal_shift_n09_dur106.mp4
female speech, woman speaking
2
mixed_temporal_shift
9
106.238
5.49
aligned
0
[ [ 21.556, 27.047 ] ]
[ [ 21.556, 27.047 ] ]
[ [ 21.556, 27.047 ] ]
[ [ 21.556, 27.047 ] ]
35,611
8dwxUBucW-E
train
train_s000002_mixed_temporal_shift_n09_dur106_q03
train_s000002_mixed_temporal_shift_n09_dur106
videos/train/mixed_temporal_shift/train_s000002_mixed_temporal_shift_n09_dur106.mp4
playing electric guitar
3
mixed_temporal_shift
9
106.238
7.23
audio_lead
-3.279
[ [ 33.326, 40.556 ] ]
[ [ 30.047, 37.277 ] ]
[ [ 30.047, 40.556 ] ]
[ [ 33.326, 37.277 ] ]
27,432
6DhAKZLEwjU
train
train_s000002_mixed_temporal_shift_n09_dur106_q04
train_s000002_mixed_temporal_shift_n09_dur106
videos/train/mixed_temporal_shift/train_s000002_mixed_temporal_shift_n09_dur106.mp4
playing acoustic guitar
4
mixed_temporal_shift
9
106.238
6.641
audio_lead
-4.928
[ [ 48.484, 55.125 ] ]
[ [ 43.556, 50.198 ] ]
[ [ 43.556, 55.125 ] ]
[ [ 48.484, 50.198 ] ]
42,024
AbFA6R6PdJ4
train
train_s000002_mixed_temporal_shift_n09_dur106_q05
train_s000002_mixed_temporal_shift_n09_dur106
videos/train/mixed_temporal_shift/train_s000002_mixed_temporal_shift_n09_dur106.mp4
playing violin, fiddle
5
mixed_temporal_shift
9
106.238
7.568
audio_delay
2.383
[ [ 58.125, 65.693 ] ]
[ [ 60.509, 68.076 ] ]
[ [ 58.125, 68.076 ] ]
[ [ 60.509, 65.693 ] ]
11,394
1tBrbVX-iIM
train
train_s000002_mixed_temporal_shift_n09_dur106_q06
train_s000002_mixed_temporal_shift_n09_dur106
videos/train/mixed_temporal_shift/train_s000002_mixed_temporal_shift_n09_dur106.mp4
playing flute
6
mixed_temporal_shift
9
106.238
9.55
aligned
0
[ [ 71.076, 80.626 ] ]
[ [ 71.076, 80.626 ] ]
[ [ 71.076, 80.626 ] ]
[ [ 71.076, 80.626 ] ]
6,282
0Yk2jwVJCjk
train
train_s000002_mixed_temporal_shift_n09_dur106_q07
train_s000002_mixed_temporal_shift_n09_dur106
videos/train/mixed_temporal_shift/train_s000002_mixed_temporal_shift_n09_dur106.mp4
railroad car, train wagon
7
mixed_temporal_shift
9
106.238
5.987
audio_delay
2.798
[ [ 83.626, 89.613 ] ]
[ [ 86.424, 92.411 ] ]
[ [ 83.626, 92.411 ] ]
[ [ 86.424, 89.613 ] ]
37,612
9HT3ezdUlQs
train
train_s000002_mixed_temporal_shift_n09_dur106_q08
train_s000002_mixed_temporal_shift_n09_dur106
videos/train/mixed_temporal_shift/train_s000002_mixed_temporal_shift_n09_dur106.mp4
horse clip-clop
8
mixed_temporal_shift
9
106.238
5.213
audio_lead
-2.613
[ [ 98.025, 103.238 ] ]
[ [ 95.411, 100.625 ] ]
[ [ 95.411, 103.238 ] ]
[ [ 98.025, 100.625 ] ]
45,357
B_RjKMLOQwQ
train
train_s000003_mixed_temporal_shift_n08_dur108_q00
train_s000003_mixed_temporal_shift_n08_dur108
videos/train/mixed_temporal_shift/train_s000003_mixed_temporal_shift_n08_dur108.mp4
male speech, man speaking
0
mixed_temporal_shift
8
108.395
6.247
aligned
0
[ [ 3, 9.247 ] ]
[ [ 3, 9.247 ] ]
[ [ 3, 9.247 ] ]
[ [ 3, 9.247 ] ]
14,965
2pTrqI02CAU
train
train_s000003_mixed_temporal_shift_n08_dur108_q01
train_s000003_mixed_temporal_shift_n08_dur108
videos/train/mixed_temporal_shift/train_s000003_mixed_temporal_shift_n08_dur108.mp4
male singing
1
mixed_temporal_shift
8
108.395
6.944
audio_delay
5.305
[ [ 12.247, 19.191 ] ]
[ [ 17.552, 24.496 ] ]
[ [ 12.247, 24.496 ] ]
[ [ 17.552, 19.191 ] ]
20,534
4Ib2Qjaxqgg
train
train_s000003_mixed_temporal_shift_n08_dur108_q02
train_s000003_mixed_temporal_shift_n08_dur108
videos/train/mixed_temporal_shift/train_s000003_mixed_temporal_shift_n08_dur108.mp4
female speech, woman speaking
2
mixed_temporal_shift
8
108.395
6.2
aligned
0
[ [ 27.496, 33.696 ] ]
[ [ 27.496, 33.696 ] ]
[ [ 27.496, 33.696 ] ]
[ [ 27.496, 33.696 ] ]
750
-AWQf-Q8j2k
train
train_s000003_mixed_temporal_shift_n08_dur108_q03
train_s000003_mixed_temporal_shift_n08_dur108
videos/train/mixed_temporal_shift/train_s000003_mixed_temporal_shift_n08_dur108.mp4
playing acoustic guitar
3
mixed_temporal_shift
8
108.395
8.494
audio_lead
-6.364
[ [ 43.06, 51.554 ] ]
[ [ 36.696, 45.19 ] ]
[ [ 36.696, 51.554 ] ]
[ [ 43.06, 45.19 ] ]
11,838
2-smp8840BY
train
train_s000003_mixed_temporal_shift_n08_dur108_q04
train_s000003_mixed_temporal_shift_n08_dur108
videos/train/mixed_temporal_shift/train_s000003_mixed_temporal_shift_n08_dur108.mp4
playing violin, fiddle
4
mixed_temporal_shift
8
108.395
7.05
audio_lead
-1.952
[ [ 56.506, 63.556 ] ]
[ [ 54.554, 61.604 ] ]
[ [ 54.554, 63.556 ] ]
[ [ 56.506, 61.604 ] ]
51,422
DMLf0s4VWIk
train
train_s000003_mixed_temporal_shift_n08_dur108_q05
train_s000003_mixed_temporal_shift_n08_dur108
videos/train/mixed_temporal_shift/train_s000003_mixed_temporal_shift_n08_dur108.mp4
people crowd
5
mixed_temporal_shift
8
108.395
6.077
aligned
0
[ [ 66.556, 72.633 ] ]
[ [ 66.556, 72.633 ] ]
[ [ 66.556, 72.633 ] ]
[ [ 66.556, 72.633 ] ]
50,440
D3eFKsDC544
train
train_s000003_mixed_temporal_shift_n08_dur108_q06
train_s000003_mixed_temporal_shift_n08_dur108
videos/train/mixed_temporal_shift/train_s000003_mixed_temporal_shift_n08_dur108.mp4
playing flute
6
mixed_temporal_shift
8
108.395
9.573
audio_delay
7.304
[ [ 75.633, 85.206 ] ]
[ [ 82.937, 92.511 ] ]
[ [ 75.633, 92.511 ] ]
[ [ 82.937, 85.206 ] ]
20,644
4KjmffTgZYE
train
train_s000003_mixed_temporal_shift_n08_dur108_q07
train_s000003_mixed_temporal_shift_n08_dur108
videos/train/mixed_temporal_shift/train_s000003_mixed_temporal_shift_n08_dur108.mp4
railroad car, train wagon
7
mixed_temporal_shift
8
108.395
5.877
audio_delay
4.008
[ [ 95.511, 101.387 ] ]
[ [ 99.519, 105.395 ] ]
[ [ 95.511, 105.395 ] ]
[ [ 99.519, 101.387 ] ]
22,626
4tlvzARr7lQ
train
train_s000004_mixed_temporal_shift_n05_dur077_q00
train_s000004_mixed_temporal_shift_n05_dur077
videos/train/mixed_temporal_shift/train_s000004_mixed_temporal_shift_n05_dur077.mp4
male speech, man speaking
0
mixed_temporal_shift
5
77.44
7.633
audio_delay
1.9
[ [ 3, 10.633 ] ]
[ [ 4.9, 12.533 ] ]
[ [ 3, 12.533 ] ]
[ [ 4.9, 10.633 ] ]
55,439
EVFznI5Uxjk
train
train_s000004_mixed_temporal_shift_n05_dur077_q01
train_s000004_mixed_temporal_shift_n05_dur077
videos/train/mixed_temporal_shift/train_s000004_mixed_temporal_shift_n05_dur077.mp4
female singing
1
mixed_temporal_shift
5
77.44
8.778
audio_lead
-2.458
[ [ 17.991, 26.769 ] ]
[ [ 15.533, 24.311 ] ]
[ [ 15.533, 26.769 ] ]
[ [ 17.991, 24.311 ] ]
1,339
-JvWk-7okCI
train
train_s000004_mixed_temporal_shift_n05_dur077_q02
train_s000004_mixed_temporal_shift_n05_dur077
videos/train/mixed_temporal_shift/train_s000004_mixed_temporal_shift_n05_dur077.mp4
male singing
2
mixed_temporal_shift
5
77.44
7.338
aligned
0
[ [ 29.769, 37.107 ] ]
[ [ 29.769, 37.107 ] ]
[ [ 29.769, 37.107 ] ]
[ [ 29.769, 37.107 ] ]
25,840
5mvUQdbVvIs
train
train_s000004_mixed_temporal_shift_n05_dur077_q03
train_s000004_mixed_temporal_shift_n05_dur077
videos/train/mixed_temporal_shift/train_s000004_mixed_temporal_shift_n05_dur077.mp4
female speech, woman speaking
3
mixed_temporal_shift
5
77.44
8.28
audio_lead
-5.722
[ [ 45.829, 54.109 ] ]
[ [ 40.107, 48.387 ] ]
[ [ 40.107, 54.109 ] ]
[ [ 45.829, 48.387 ] ]
10,914
1k1eMJE_hho
train
train_s000004_mixed_temporal_shift_n05_dur077_q04
train_s000004_mixed_temporal_shift_n05_dur077
videos/train/mixed_temporal_shift/train_s000004_mixed_temporal_shift_n05_dur077.mp4
playing electric guitar
4
mixed_temporal_shift
5
77.44
9.804
audio_delay
7.527
[ [ 57.109, 66.912 ] ]
[ [ 64.636, 74.44 ] ]
[ [ 57.109, 74.44 ] ]
[ [ 64.636, 66.912 ] ]
8,003
1-8MqdvssiM
train
train_s000005_mixed_temporal_shift_n09_dur116_q00
train_s000005_mixed_temporal_shift_n09_dur116
videos/train/mixed_temporal_shift/train_s000005_mixed_temporal_shift_n09_dur116.mp4
male speech, man speaking
0
mixed_temporal_shift
9
115.755
9.714
audio_lead
-3.672
[ [ 6.672, 16.386 ] ]
[ [ 3, 12.714 ] ]
[ [ 3, 16.386 ] ]
[ [ 6.672, 12.714 ] ]
18,190
3dlilq8Edq8
train
train_s000005_mixed_temporal_shift_n09_dur116_q01
train_s000005_mixed_temporal_shift_n09_dur116
videos/train/mixed_temporal_shift/train_s000005_mixed_temporal_shift_n09_dur116.mp4
female singing
1
mixed_temporal_shift
9
115.755
5.134
audio_lead
-2.743
[ [ 22.13, 27.263 ] ]
[ [ 19.386, 24.52 ] ]
[ [ 19.386, 27.263 ] ]
[ [ 22.13, 24.52 ] ]
18,531
3kPq4isCXTc
train
train_s000005_mixed_temporal_shift_n09_dur116_q02
train_s000005_mixed_temporal_shift_n09_dur116
videos/train/mixed_temporal_shift/train_s000005_mixed_temporal_shift_n09_dur116.mp4
male singing
2
mixed_temporal_shift
9
115.755
5.944
aligned
0
[ [ 30.263, 36.208 ] ]
[ [ 30.263, 36.208 ] ]
[ [ 30.263, 36.208 ] ]
[ [ 30.263, 36.208 ] ]
44,925
BRieV0pFOHA
train
train_s000005_mixed_temporal_shift_n09_dur116_q03
train_s000005_mixed_temporal_shift_n09_dur116
videos/train/mixed_temporal_shift/train_s000005_mixed_temporal_shift_n09_dur116.mp4
female speech, woman speaking
3
mixed_temporal_shift
9
115.755
6.5
aligned
0
[ [ 39.208, 45.708 ] ]
[ [ 39.208, 45.708 ] ]
[ [ 39.208, 45.708 ] ]
[ [ 39.208, 45.708 ] ]
18,348
3ghRDHmXSyA
train
train_s000005_mixed_temporal_shift_n09_dur116_q04
train_s000005_mixed_temporal_shift_n09_dur116
videos/train/mixed_temporal_shift/train_s000005_mixed_temporal_shift_n09_dur116.mp4
playing electric guitar
4
mixed_temporal_shift
9
115.755
7.976
audio_delay
6.053
[ [ 48.708, 56.684 ] ]
[ [ 54.762, 62.737 ] ]
[ [ 48.708, 62.737 ] ]
[ [ 54.762, 56.684 ] ]
12,960
2IoVuCXFWmg
train
train_s000005_mixed_temporal_shift_n09_dur116_q05
train_s000005_mixed_temporal_shift_n09_dur116
videos/train/mixed_temporal_shift/train_s000005_mixed_temporal_shift_n09_dur116.mp4
playing acoustic guitar
5
mixed_temporal_shift
9
115.755
5.727
audio_delay
3.945
[ [ 65.737, 71.464 ] ]
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train_s000010_mixed_temporal_shift_n09_dur114_q08
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17,472
3TTiOj5hqq4
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train_s000011_mixed_temporal_shift_n06_dur073_q02
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train_s000011_mixed_temporal_shift_n06_dur073_q03
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train_s000011_mixed_temporal_shift_n06_dur073_q04
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train_s000011_mixed_temporal_shift_n06_dur073_q05
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53,291
Drrnln7D-Ew
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train_s000012_mixed_temporal_shift_n05_dur066_q00
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47,047
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train_s000012_mixed_temporal_shift_n05_dur066_q01
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[ [ 18.592, 28.252 ] ]
17,798
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train
train_s000012_mixed_temporal_shift_n05_dur066_q02
train_s000012_mixed_temporal_shift_n05_dur066
videos/train/mixed_temporal_shift/train_s000012_mixed_temporal_shift_n05_dur066.mp4
male singing
2
mixed_temporal_shift
5
65.574
6.95
audio_delay
1.748
[ [ 31.252, 38.202 ] ]
[ [ 33, 39.95 ] ]
[ [ 31.252, 39.95 ] ]
[ [ 33, 38.202 ] ]
26,887
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train
train_s000012_mixed_temporal_shift_n05_dur066_q03
train_s000012_mixed_temporal_shift_n05_dur066
videos/train/mixed_temporal_shift/train_s000012_mixed_temporal_shift_n05_dur066.mp4
female speech, woman speaking
3
mixed_temporal_shift
5
65.574
8.403
audio_lead
-1.724
[ [ 44.674, 53.077 ] ]
[ [ 42.95, 51.353 ] ]
[ [ 42.95, 53.077 ] ]
[ [ 44.674, 51.353 ] ]
21,148
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train
train_s000012_mixed_temporal_shift_n05_dur066_q04
train_s000012_mixed_temporal_shift_n05_dur066
videos/train/mixed_temporal_shift/train_s000012_mixed_temporal_shift_n05_dur066.mp4
playing electric guitar
4
mixed_temporal_shift
5
65.574
6.498
aligned
0
[ [ 56.077, 62.574 ] ]
[ [ 56.077, 62.574 ] ]
[ [ 56.077, 62.574 ] ]
[ [ 56.077, 62.574 ] ]
3,911
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train
train_s000013_mixed_temporal_shift_n06_dur073_q00
train_s000013_mixed_temporal_shift_n06_dur073
videos/train/mixed_temporal_shift/train_s000013_mixed_temporal_shift_n06_dur073.mp4
male speech, man speaking
0
mixed_temporal_shift
6
72.692
5.578
audio_lead
-1.344
[ [ 4.344, 9.921 ] ]
[ [ 3, 8.578 ] ]
[ [ 3, 9.921 ] ]
[ [ 4.344, 8.578 ] ]
16,621
3En2hFi_QyM
train
train_s000013_mixed_temporal_shift_n06_dur073_q01
train_s000013_mixed_temporal_shift_n06_dur073
videos/train/mixed_temporal_shift/train_s000013_mixed_temporal_shift_n06_dur073.mp4
female singing
1
mixed_temporal_shift
6
72.692
8.848
audio_delay
0.86
[ [ 12.921, 21.77 ] ]
[ [ 13.782, 22.63 ] ]
[ [ 12.921, 22.63 ] ]
[ [ 13.782, 21.77 ] ]
13,807
2Wcd6Xd4vis
train
train_s000013_mixed_temporal_shift_n06_dur073_q02
train_s000013_mixed_temporal_shift_n06_dur073
videos/train/mixed_temporal_shift/train_s000013_mixed_temporal_shift_n06_dur073.mp4
male singing
2
mixed_temporal_shift
6
72.692
8.252
aligned
0
[ [ 25.63, 33.882 ] ]
[ [ 25.63, 33.882 ] ]
[ [ 25.63, 33.882 ] ]
[ [ 25.63, 33.882 ] ]
1,161
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train
train_s000013_mixed_temporal_shift_n06_dur073_q03
train_s000013_mixed_temporal_shift_n06_dur073
videos/train/mixed_temporal_shift/train_s000013_mixed_temporal_shift_n06_dur073.mp4
playing electric guitar
3
mixed_temporal_shift
6
72.692
7.457
aligned
0
[ [ 36.882, 44.339 ] ]
[ [ 36.882, 44.339 ] ]
[ [ 36.882, 44.339 ] ]
[ [ 36.882, 44.339 ] ]
4,245
01VxKQA0y80
train
train_s000013_mixed_temporal_shift_n06_dur073_q04
train_s000013_mixed_temporal_shift_n06_dur073
videos/train/mixed_temporal_shift/train_s000013_mixed_temporal_shift_n06_dur073.mp4
playing acoustic guitar
4
mixed_temporal_shift
6
72.692
5.238
audio_lead
-2.937
[ [ 50.276, 55.514 ] ]
[ [ 47.339, 52.577 ] ]
[ [ 47.339, 55.514 ] ]
[ [ 50.276, 52.577 ] ]
23,821
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train
train_s000013_mixed_temporal_shift_n06_dur073_q05
train_s000013_mixed_temporal_shift_n06_dur073
videos/train/mixed_temporal_shift/train_s000013_mixed_temporal_shift_n06_dur073.mp4
playing violin, fiddle
5
mixed_temporal_shift
6
72.692
7.296
audio_lead
-3.882
[ [ 62.396, 69.692 ] ]
[ [ 58.514, 65.81 ] ]
[ [ 58.514, 69.692 ] ]
[ [ 62.396, 65.81 ] ]
27,426
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train
train_s000014_mixed_temporal_shift_n05_dur076_q00
train_s000014_mixed_temporal_shift_n05_dur076
videos/train/mixed_temporal_shift/train_s000014_mixed_temporal_shift_n05_dur076.mp4
male speech, man speaking
0
mixed_temporal_shift
5
75.686
8.184
audio_delay
1.552
[ [ 3, 11.184 ] ]
[ [ 4.552, 12.736 ] ]
[ [ 3, 12.736 ] ]
[ [ 4.552, 11.184 ] ]
28,706
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train
train_s000014_mixed_temporal_shift_n05_dur076_q01
train_s000014_mixed_temporal_shift_n05_dur076
videos/train/mixed_temporal_shift/train_s000014_mixed_temporal_shift_n05_dur076.mp4
female singing
1
mixed_temporal_shift
5
75.686
7.604
audio_lead
-5.242
[ [ 20.978, 28.582 ] ]
[ [ 15.736, 23.341 ] ]
[ [ 15.736, 28.582 ] ]
[ [ 20.978, 23.341 ] ]
6,861
0g3vTZkMo28
train
train_s000014_mixed_temporal_shift_n05_dur076_q02
train_s000014_mixed_temporal_shift_n05_dur076
videos/train/mixed_temporal_shift/train_s000014_mixed_temporal_shift_n05_dur076.mp4
male singing
2
mixed_temporal_shift
5
75.686
8.075
audio_delay
5.108
[ [ 31.582, 39.657 ] ]
[ [ 36.69, 44.765 ] ]
[ [ 31.582, 44.765 ] ]
[ [ 36.69, 39.657 ] ]
14,765
2lLTOOaFGEc
train
train_s000014_mixed_temporal_shift_n05_dur076_q03
train_s000014_mixed_temporal_shift_n05_dur076
videos/train/mixed_temporal_shift/train_s000014_mixed_temporal_shift_n05_dur076.mp4
female speech, woman speaking
3
mixed_temporal_shift
5
75.686
8.677
audio_lead
-5.463
[ [ 53.227, 61.904 ] ]
[ [ 47.765, 56.441 ] ]
[ [ 47.765, 61.904 ] ]
[ [ 53.227, 56.441 ] ]
45,205
BWgxsl-9Poc
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TimeDuet

A Benchmark for Audio-Visual Temporal Grounding on Misaligned Streams

Project & code · Final model

TimeDuet evaluates text-query temporal grounding under controlled audio-visual offsets, with separate audio and visual ground-truth intervals. This release contains the synthesized videos and annotations used in the paper, not the separate source-clip collection.

Split Videos Queries
train 2,686 18,805
validation 315 2,207
test 315 2,202
Total 3,316 23,214

The original split assignments are preserved. validation is named val in the original video paths and provenance manifests. Videos average 91.0 seconds and combine 5–9 target events. Media is 640×360 at 25 FPS with audio embedded in the MP4 files.

Download and load

from huggingface_hub import snapshot_download
from datasets import load_dataset
from pathlib import Path

root = Path(snapshot_download("TimeDuet/TimeDuet", repo_type="dataset"))
ds = load_dataset("TimeDuet/TimeDuet")
row = ds["test"][0]
video_path = root / row["video"]
print(row["query"], row["audio_gt"], row["visual_gt"])

For a smaller download, use allow_patterns=["README.md", "data/test.jsonl", "videos/test/**", "metadata/*test*", "metadata/release_summary.json"] with snapshot_download.

Contents and annotation fields

  • data/{train,validation,test}.jsonl: one row per query, with portable relative video paths.
  • videos/{train,val,test}/: synthesized MP4 files.
  • metadata/queries_manifest_*.jsonl: detailed query provenance, including filler information.
  • metadata/samples_manifest_*.jsonl: sample construction and source-segment provenance.
  • metadata/schema_contract.json: canonical prompt and output format.
  • metadata/release_summary.json: counts and source version.
  • metadata/media_inventory.jsonl: video paths and file sizes.

Core fields: query_id, sample_id, query, video, duration_sec, temporal_relation, audio_shift_sec, audio_gt, visual_gt, total_gt, and av_overlap_gt. All intervals are lists of [start, end] pairs in seconds relative to the synthesized video's start. total_gt is the union of audio and visual evidence, not two separate model predictions. Positive offsets (audio_delay) mean audio follows the visual event; negative offsets (audio_lead) mean audio precedes it.

clip_index, youtube_id, and the detailed sample provenance connect synthesized examples to their sources. Internal server paths are omitted from this release; source IDs, temporal offsets and ground-truth intervals are preserved. Original internal schema identifiers may contain avrtg; these are compatibility/version identifiers for TimeDuet, not a different dataset.

Evaluation and training

Keep the provided splits unchanged. Evaluate the same predicted interval set against overall, modality-specific and region-level ground truth. Audio-only and visual-only metrics exclude aligned events: there are 1,468 shifted test queries. See the project code for the full protocol. For the paper's RL stage, use only shifted training queries (audio_lead or audio_delay, 12,536 queries); SFT uses the training split.

Source and limitations

Source clips were selected from VGGSound. The paper reports 23,214 retained clips from 50,816 candidates, with source splitting before synthesis. The resulting offsets are constructed and may not reflect all naturally occurring audio-visual misalignment. This benchmark targets individual event localization, not unrestricted temporal reasoning.

Rights and attribution

Source audiovisual content remains subject to its original rights and terms. No additional blanket license for third-party media is asserted here. A release-specific license for the authors' annotations has not yet been specified. Preserve source provenance and cite both TimeDuet and VGGSound when using the dataset.

Citation

Sihyeong Kim, Jaeyeong Choi, Joohyun Oh, Taeyeong Jeong, Bomin Kang, Daehee Park, and Jisoo Mok. TimeDuet: A Benchmark for Audio-Visual Temporal Grounding on Misaligned Streams.

Please refer to the project page for updated publication information.

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