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duration
float64
11.9
755
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listlengths
2
22
video_id
stringlengths
13
13
sampled_frames
int64
12
755
tsum
listlengths
2
22
vsum
listlengths
2
22
vsum_onehot
listlengths
10
10
82.73
[ [ 0.8300000000000001, 19.86 ], [ 17.37, 60.81 ], [ 56.26, 79.42 ] ]
v_QOlSCBRmfWY
83
[ "A young woman is seen standing in a room and leads into her dancing.", " The girl dances around the room while the camera captures her movements.", " She continues dancing around the room and ends by laying on the floor." ]
[ [ [ 7.01, 12.37 ], [ 7.39, 12.36 ], [ 10.83, 14.67 ], [ 7.23, 10.83 ], [ 7.33, 12.58 ], [ 13.21, 15.94 ], [ 9.19, 13.73 ], [ 9.61, 13 ], [ 7.54, ...
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31.65
[ [ 0, 15.51 ], [ 11.39, 31.65 ] ]
v_nwznKOuZM7w
32
[ "Two people are seen moving around a kitchen quickly performing various tasks and sitting down.", " They then wax down a ski in the kitchen while continuing to move around." ]
[ [ [ 4.21, 6.42 ], [ 6.93, 10.1 ], [ 0.79, 2.8 ], [ 6.13, 8.83 ], [ 4.16, 7.11 ], [ 7.93, 10.95 ], [ 8.97, 12.04 ], [ 8.97, 12 ], [ 5.49, 7.5...
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36.55
[ [ 0, 7.49 ], [ 7.49, 18.09 ], [ 19.37, 36.55 ] ]
v_ogQozSI5V8U
36
[ "We see a hallway with a wooden floor.", " A dog in socks walks slowly out onto the floor as a lady films him.", " The dog turns around and goes back to the other room." ]
[ [ [ 1.88, 4.06 ], [ 2.77, 5 ], [ 3.3, 5.55 ], [ 1.38, 3.52 ], [ 4.51, 6.53 ], [ 2.91, 4.94 ], [ 5.49, 7.49 ], [ 1.28, 3.31 ], [ 2.69, 5.04 ...
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145.56
[ [ 0, 145.56 ], [ 67.68, 72.78 ], [ 82.97, 87.33 ], [ 98.98, 103.34 ] ]
v_nHE7u40plD0
145
[ "A woman and a man are sitting on the sidewalk playing music.", " People stand next to them and watch them play.", " A little boy holding a yellow ball walks by.", " A man poses for a picture in front of them." ]
[ [ [ 27.7, 43.28 ], [ 39.38, 57.96 ], [ 16.09, 31.72 ], [ 12.29, 25.65 ], [ 12.1, 25.48 ], [ 39.07, 56.32 ], [ 30.17, 45.49 ], [ 121.73, 137.17 ], [ ...
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94.72
[ [ 1.8900000000000001, 31.26 ], [ 29.36, 71.51 ], [ 55.41, 91.4 ] ]
v_69IsHpmRyfk
95
[ "A young girl is seen sitting in a chair with a person standing next to her.", " The person next to her then piercing one ear followed by the other.", " The person rubs lotion on the piercings afterwards." ]
[ [ [ 5.38, 14.5 ], [ 16.3, 18.87 ], [ 8.99, 14.41 ], [ 8.75, 14.35 ], [ 7.94, 11.69 ], [ 3.12, 9.52 ], [ 11.61, 15.93 ], [ 7.52, 11.29 ], [ 4.83, ...
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95.67
[ [ 0, 17.7 ], [ 19.61, 88.01 ], [ 90.88, 95.67 ] ]
v_D18b2IZpxk0
96
[ "A woman is shown riding a camel past pyramids in Egypt.", " The camel walks as the woman leans forward.", " And hand covers the lens as the harness is shown." ]
[ [ [ 3.67, 9.24 ], [ 6.37, 11.67 ], [ 1.6400000000000001, 9.17 ], [ 5.69, 11.42 ], [ 2.69, 8.02 ], [ 3.68, 6.84 ], [ 5.78, 12.57 ], [ 9.5, 13.64 ], [ ...
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172.08
[ [ 0, 85.18 ], [ 27.53, 43.02 ], [ 86.04, 168.64 ] ]
v_pizl41xmw7k
172
[ "A child mops the floor of a hallway in a house.", " The child sets the mop down and plays with her family member.", " The child walks into the bedroom area and continues to mop the floor." ]
[ [ [ 8.91, 14.29 ], [ 11.76, 21.26 ], [ 1.8599999999999999, 14.77 ], [ 8.5, 12.3 ], [ 12.86, 22.21 ], [ 7.01, 15 ], [ 50.87, 58.32 ], [ 61.08, 73.29 ], [...
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214.6
[ [ 0, 40.77 ], [ 41.85, 119.1 ], [ 96.57, 170.61 ], [ 168.46, 214.6 ] ]
v_oP77DgsbhKQ
215
[ "A man is seen kneeling down on the floor speaking to the camera.", " The man mixes up various ingredients and begins laying plaster on the floor.", " He measures the floor and tiles and cuts out a piece of tile to lay on the floor.", " He continues laying tiles on the floor while looking back to speak to the...
[ [ [ 32.61, 36.62 ], [ 31.7, 36.8 ], [ 17.17, 20.35 ], [ 30, 33 ], [ 11.92, 19.42 ], [ 24.92, 28.13 ], [ 28.36, 36.98 ], [ 31.98, 35.94 ], [ 29.29,...
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148.32
[ [ 0, 14.83 ], [ 15.57, 32.63 ], [ 32.63, 44.5 ], [ 44.5, 65.26 ], [ 66.74, 72.68 ], [ 74.16, 107.53 ], [ 106.05, 130.52 ], [ 129.78, 137.94 ], [ 137.94, 148.32 ] ]
v_fzp5ooc727c
148
[ "Two lines of young men are walking side by side down a road.", "Then one man stands in a field holding a wooden object and begins twisting it.", "He then bends down and grabs a ball.", "After,the ball is placed on the ground and he picks it up and hits it as if he's playing baseball.", "The ball is thrown ...
[ [ [ 6.59, 9.15 ], [ 7.15, 11 ], [ 6.17, 10.83 ], [ 7.8, 10.2 ], [ 7.09, 12.11 ], [ 7.43, 9.45 ], [ 7.94, 11.28 ], [ 6.03, 9.03 ], [ 5.3, 8.3...
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226.72
[ [ 0, 22.67 ], [ 22.67, 179.11 ], [ 182.51, 226.72 ] ]
v_LNKdVrX_0Fg
227
[ "A woman wearing overalls is talking to the camera.", " She lays out wrapping paper, showing how to wrap a toy in it.", " She wraps it around the toy, then tapes it up." ]
[ [ [ 10.32, 13.49 ], [ 18.3, 22.3 ], [ 8.49, 16.38 ], [ 7.17, 10.8 ], [ 4.02, 18.32 ], [ 12.06, 14.4 ], [ 10.31, 13.03 ], [ 3.99, 9.67 ], [ 10.88, ...
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147.26
[ [ 0, 10.31 ], [ 17.67, 137.69 ], [ 120.02, 125.17 ] ]
v_t0ajvfx6dgA
147
[ "A man in a suit is sitting behind a desk.", " People are playing lacrosse on a field of grass.", " A person in a yellow uniform is standing in front of a net blocking balls." ]
[ [ [ 3.18, 7.24 ], [ 3.71, 5.9 ], [ 2.15, 7.35 ], [ 1.21, 7 ], [ 3.59, 8.49 ], [ 4.17, 6.82 ], [ 8, 10 ], [ 1.6800000000000002, 4.7 ], [ 5.94, ...
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238.38
[ [ 0, 75.09 ], [ 75.09, 238.38 ] ]
v__yWADgOFxP0
238
[ "A camera pans over a snowy area and leads into a man standing on a snowboard and riding down a mountain.", " The man zooms in on himself riding down the hill and ends with him turning off the camera." ]
[ [ [ 33, 51.18 ], [ 40.23, 54.34 ], [ 22.4, 38.04 ], [ 20.1, 34.38 ], [ 29.19, 45.44 ], [ 32.81, 41.67 ], [ 32.53, 53.16 ], [ 43.51, 58.31 ], [ 31....
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65.04
[ [ 0, 14.31 ], [ 14.31, 65.04 ] ]
v_AGgJVF3nT6I
65
[ "A playroom is seen followed by a young boy sliding down a slide and climbing back up again.", " He slides down again, this time landing on his back, and continues to slide down several more times." ]
[ [ [ 3.87, 6.75 ], [ 4.34, 6.39 ], [ 3.27, 5.79 ], [ 3.81, 6.35 ], [ 5.8, 8.94 ], [ 4.25, 6.27 ], [ 4.03, 6.17 ], [ 4.18, 6.61 ], [ 2.5, 5.94...
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157.32
[ [ 0, 157.32 ], [ 0, 16.52 ], [ 0, 29.89 ], [ 29.89, 152.6 ], [ 152.6, 157.32 ] ]
v_XD3yFrJHiv8
157
[ "A man and woman are sitting on red couches with sports jerseys hanging on the wall and a blue screen on the wall behind them in the middle of them.", "The woman picks up a clipboard next to her and smooths out the papers that are on top of it while smiling, crosses her legs and sits back.", "The man is talking...
[ [ [ 75.3, 82.11 ], [ 70.77, 76.21 ], [ 7.65, 10.92 ], [ 56.14, 69.43 ], [ 6.4, 12.39 ], [ 6.88, 8.94 ], [ 73.69, 79.39 ], [ 58.59, 60.85 ], [ 71.2...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
65.83
[ [ 0.66, 18.76 ], [ 16.79, 56.94 ], [ 45.75, 65.17 ] ]
v_lZKrd84QElk
66
[ "The former president is seen walking in a large field next to a woman and surrounded by a large crowd.", " The man gives a speech while people cheering and he shakes hands with others.", " The man then shares a beer with other people around him." ]
[ [ [ 10.13, 13.9 ], [ 3.58, 7.58 ], [ 12.01, 15.12 ], [ 9.77, 14.11 ], [ 4.91, 9.18 ], [ 1.42, 3.62 ], [ 2.05, 5.3 ], [ 9.81, 12.73 ], [ 6.5, ...
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60.12
[ [ 0, 15.33 ], [ 15.93, 34.27 ], [ 34.57, 49.6 ], [ 49, 60.12 ] ]
v_6lYTHj9vImo
60
[ "Four kids are outside in the beach playing in the sand,two boys on the left and two girls on the right.", "The girls have about six sand castles and a large circle surrounding it filled with water.", "They then take off running to the beach to grab more water as the boy comes and looks at their work.", "Once...
[ [ [ 4.69, 7.65 ], [ 5.8, 7.82 ], [ 5.69, 7.98 ], [ 10.26, 12.65 ], [ 8.04, 10.99 ], [ 2.38, 4.4 ], [ 7.88, 10.07 ], [ 7.82, 10.78 ], [ 4.42, ...
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103.37
[ [ 0, 36.18 ], [ 19.12, 103.37 ] ]
v_E3QtX6r9QX0
104
[ "A large pile of leaves are seen being blown around with shots of a blower being shown.", " the leaves continue to be shown blowing around as well as a machine sitting off in the distance." ]
[ [ [ 10.16, 17.5 ], [ 13.19, 21.95 ], [ 5.73, 13.98 ], [ 7.07, 18.79 ], [ 5.92, 11.35 ], [ 5.37, 8.63 ], [ 15.01, 24.68 ], [ 9.57, 12.43 ], [ 20.12...
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157.41
[ [ 0, 84.21 ], [ 83.43, 157.41 ] ]
v_iYxj8a1TPYk
157
[ "A basketball player is seen dribbling a ball in various shots for the camera and leads into the player making baskets over and over again.", " The man is then seen speaking to the camera and transitions into him scoring several more baskets." ]
[ [ [ 48.45, 61.87 ], [ 42.01, 50.1 ], [ 44.36, 62.13 ], [ 25.08, 38.74 ], [ 11.14, 24.25 ], [ 20.99, 33.87 ], [ 15.28, 30.13 ], [ 10.13, 25.05 ], [ ...
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129.96
[ [ 0, 129.96 ], [ 5.2, 129.96 ], [ 17.55, 129.96 ] ]
v_cp52LdlmlUk
130
[ "People are standing in a room working out.", " They are stepping up and down on small stepping stools.", " They continue working out in the room." ]
[ [ [ 0.58, 4.57 ], [ 26.05, 33.53 ], [ 8.42, 13.48 ], [ 1.33, 4 ], [ 7.99, 14.25 ], [ 42.06, 47.3 ], [ 1, 4 ], [ 0.6900000000000001, 3.04 ], [ 2.83...
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218.7
[ [ 0, 32.8 ], [ 38.27, 83.11 ], [ 88.57, 218.7 ] ]
v_bpg2PC2neQM
219
[ "A black and white video is being played of people playing lacrosse on a field.", " It then turns back to color and splits into multiple frames and speeds.", " The video includes numerous clips of players in lacrosse games, hitting the ball toward opposing goals." ]
[ [ [ 12.5, 22.32 ], [ 10.88, 22.3 ], [ 12.11, 18.12 ], [ 10.79, 20.92 ], [ 10.69, 21.64 ], [ 14.4, 20.14 ], [ 2.39, 16.62 ], [ 23.37, 32.8 ], [ 4.4...
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194.35
[ [ 0, 64.14 ], [ 55.39, 194.35 ] ]
v__zHSfEhEqkU
194
[ "A man is seen padding a canoe along the water while the camera captures him from several angles.", " The man continues riding around followed by performing several ways to turn the canoe around." ]
[ [ [ 39.23, 53.45 ], [ 18.56, 38.21 ], [ 38.42, 52.87 ], [ 33.65, 42.4 ], [ 16.05, 29.04 ], [ 12.72, 22.44 ], [ 43.6, 57.12 ], [ 16.4, 27.11 ], [ 3...
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32.09
[ [ 0, 32.09 ], [ 0.8, 30.81 ] ]
v_dAjhBWalWRM
32
[ "A group of people stand in front of a blackjack table.", " The blackjack attendant places cards on the table." ]
[ [ [ 2.7800000000000002, 5.09 ], [ 6.61, 9.32 ], [ 1.69, 3.95 ], [ 0.35000000000000003, 4.26 ], [ 2.17, 4.5600000000000005 ], [ 1.9500000000000002, 3.96 ], [ 1.94, 3.95 ], [...
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72.8
[ [ 1.46, 4.73 ], [ 6.19, 72.8 ], [ 38.95, 40.4 ], [ 43.68, 51.32 ], [ 51.32, 53.14 ], [ 56.05, 58.6 ], [ 58.6, 61.15 ], [ 61.51, 65.88 ], [ 66.24, 67.34 ] ]
v_zihMznAYlV0
73
[ "Two men in padded sumo costumes are pulled along a tug rope on a ski slope.", " Two men in yellow padded sumo costumes do jumps on their snowboard on a downhill course.", " A filmer waives to the camera.", " The man spins while sliding across a platform in the sumo suit.", " The two men give each other a h...
[ [ [ 2.1, 4.73 ], [ 2.7, 4.7 ], [ 2.65, 4.66 ], [ 2.73, 4.73 ], [ 2.58, 4.68 ], [ 2.3, 4.31 ], [ 1.46, 3.6 ], [ 2.7, 4.73 ], [ 1.56, 3.68 ...
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63.32
[ [ 0, 5.07 ], [ 5.07, 13.61 ], [ 13.61, 24.38 ], [ 30.08, 61.74 ] ]
v_epqnpUCVLK8
63
[ "A little boy is laying on an exercise ball.", " The boy falls of and gets back on the ball before he falls off again.", " He tries to sit on the ball but the ball rolls away.", " He retrieves it and continues to sit on and fall off the ball." ]
[ [ [ 1.28, 3.68 ], [ 3, 5 ], [ 1.05, 3.77 ], [ 1.03, 4.26 ], [ 0.79, 2.99 ], [ 0, 2.01 ], [ 2.26, 5.01 ], [ 1.52, 3.65 ], [ 2.11, 4.18 ],...
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17.15
[ [ 0, 17.15 ], [ 6.6, 17.15 ] ]
v_GFE2wAi9fjo
17
[ "A woman puts a pair of shoes on while sitting in an office chair.", " The woman buckles her shoes." ]
[ [ [ 5.52, 7.98 ], [ 4, 6 ], [ 1.74, 3.9 ], [ 3.95, 5.98 ], [ 3.13, 5.13 ], [ 1.69, 3.71 ], [ 1.19, 3.31 ], [ 2.5, 4.53 ], [ 1.52, 3.6 ],...
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183.86
[ [ 0, 23.9 ], [ 23.9, 52.4 ], [ 54.24, 136.05 ], [ 136.05, 183.86 ] ]
v_m22TDwfa8go
184
[ "A woman is seen talking to the camera and presenting various liquids to the camera.", " She ready's the tip of a glass and dips the glass into sugar on a plate.", " She pours various liquids into a mixer and shakes the mixture all together.", " She pours the drink out into the glass while still speaking to t...
[ [ [ 8.31, 17.3 ], [ 7.8100000000000005, 10.49 ], [ 13.96, 17.62 ], [ 8.63, 11.34 ], [ 8.05, 12.75 ], [ 14.47, 18.13 ], [ 9.49, 15.63 ], [ 8.61, 13.21 ], ...
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134.58
[ [ 10.09, 123.82 ], [ 42.39, 72.67 ], [ 74.02, 89.5 ], [ 92.86, 123.14 ] ]
v_p9iE8iemCMs
135
[ "A person is holding a flute.", " The person shows a fingering for the second octave of the note.", " The person shows the fingering on the third octave.", " The woman talks directly to the camera." ]
[ [ [ 29.5, 36 ], [ 34.99, 43.11 ], [ 24.57, 30.9 ], [ 16.8, 20.15 ], [ 15.73, 22.5 ], [ 25.78, 32.74 ], [ 14.15, 16.59 ], [ 16.65, 23.08 ], [ 17.22...
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185.48
[ [ 2.7800000000000002, 7.42 ], [ 7.42, 14.84 ], [ 14.84, 22.26 ], [ 22.26, 28.75 ], [ 28.75, 63.99 ], [ 63.99, 95.52 ], [ 95.52, 107.58 ], [ 107.58, 116.85 ], [ 116.85, 134.47 ], [ 134.47, 143.75 ], ...
v_fN2DiOswmOA
188
[ "The screen shows the title of preparing a Chilean Hulte salad dish.", " A person is mixing salad ingredients in a large bowl.", " There is information shown about Dr.", " Rachel Collin's trip to Chile.", " There are several people standing under a canopy at a food market.", " Two customers make a purchas...
[ [ [ 3.76, 6.1 ], [ 4.53, 6.71 ], [ 4.86, 6.86 ], [ 4.9, 7.36 ], [ 3.2800000000000002, 5.92 ], [ 4.06, 6.07 ], [ 5, 7 ], [ 4.64, 7.12 ], [ 4.42, ...
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200.04
[ [ 0, 199.04 ], [ 59.01, 199.04 ] ]
v_37pwbUp8t1I
200
[ "Hiphop dancers perform in front of a crowd.", " They are all doing the same basic dance and having pictures taken of them." ]
[ [ [ 31.55, 50.51 ], [ 41.41, 55.68 ], [ 30.29, 49.97 ], [ 31, 44.93 ], [ 32.67, 51.22 ], [ 32.8, 39.91 ], [ 31.93, 35.09 ], [ 31.95, 40.79 ], [ 78...
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191.94
[ [ 0, 32.63 ], [ 34.55, 142.99 ], [ 149.71, 191.94 ] ]
v_TmI9MxCDBMw
195
[ "A murky river is shown next to a row of trees.", " A bunch of people on intertubes go by slowly.", " Then we see rapid waters as the tubers go over small falls." ]
[ [ [ 6.5600000000000005, 10.1 ], [ 13.4, 18.77 ], [ 9.09, 16.27 ], [ 27.04, 31.23 ], [ 9.52, 18.82 ], [ 14.43, 17.63 ], [ 8.57, 15.62 ], [ 13.17, 17.76 ], ...
[ [ 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
44.84
[ [ 0, 7.62 ], [ 9.64, 29.37 ], [ 30.71, 44.84 ] ]
v_y5j9TqTy9Xw
45
[ "A woman is walking along a track.", " She takes off at a fast run.", " She jumps over a bar and onto a mat." ]
[ [ [ 1.52, 4.3 ], [ 2.16, 4.16 ], [ 2.58, 4.58 ], [ 3, 5 ], [ 2.02, 4.3 ], [ 5, 7.62 ], [ 1.56, 4.37 ], [ 2.14, 4.42 ], [ 2.23, 5.63 ], ...
[ [ 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0 ...
89.63
[ [ 10.76, 13 ], [ 15.69, 63.19 ], [ 64.98, 66.33 ], [ 68.57, 80.22 ] ]
v_Kp7pUEKrb8Q
90
[ "A person is slicing limes on a board.", " They put the limes and sugar into a blender.", " They strain the juice and pour it into a jar.", " They put a straw and a lime wedge on the rim of the glass." ]
[ [ [ 10.76, 13 ], [ 11, 13 ], [ 10.78, 12.82 ], [ 10.81, 12.89 ], [ 11, 13 ], [ 10.76, 12.77 ], [ 10.76, 13 ], [ 10.98, 13 ], [ 10.76, 12.81 ...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
77.23
[ [ 0, 33.6 ], [ 34.37, 38.23 ], [ 36.68, 69.51 ], [ 69.89, 73.37 ] ]
v_5lre5zbUV1Q
77
[ "A child scrubs out the kitchen sink using a brush.", " The boy turns on the sink faucet.", " The child uses the faucet nozzle to rinse out the sink.", " The boy returns the sink nozzle to the faucet and turns off the water." ]
[ [ [ 14.11, 17.57 ], [ 14.03, 17.48 ], [ 28.11, 33.01 ], [ 28.83, 31.64 ], [ 14.01, 18.93 ], [ 14.85, 18.55 ], [ 27.43, 31.17 ], [ 25.67, 28.68 ], [ ...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0,...
23.36
[ [ 0, 13.2 ], [ 13.78, 23.36 ] ]
v_huFuRGoZt9I
23
[ "A dealer is shown laying out cards on a table while other people's hands are shown on the side.", " The person then lays out cards while another person lays out their chips." ]
[ [ [ 3.44, 5.59 ], [ 8.89, 11.37 ], [ 5.37, 8 ], [ 2.46, 4.5 ], [ 3.7800000000000002, 5.78 ], [ 2.7800000000000002, 4.8 ], [ 6.08, 8.12 ], [ 6.04, 8.21 ], ...
[ [ 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0...
220.85
[ [ 0, 40.86 ], [ 40.86, 138.03 ], [ 139.13, 220.85 ] ]
v_CmEQjszPDrg
221
[ "Several people are outside with running equipment and numbers pinned to them jogging at a slow pace at what seams to be a Marathon or a 5k.", "A lady dressed in all black however,seems to be the focal point throughout the video and she is walking at an extremely slow pace for the whole time.", "After the crowd...
[ [ [ 3.83, 15.31 ], [ 13.93, 26.63 ], [ 1.54, 13.18 ], [ 4.71, 11.45 ], [ 1.34, 7.14 ], [ 2.18, 12.42 ], [ 16.93, 23.79 ], [ 15.15, 23.33 ], [ 26.1...
[ [ 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
187.55
[ [ 0, 23.44 ], [ 23.44, 33.76 ], [ 32.82, 45.95 ], [ 45.95, 151.91 ], [ 150.98, 187.55 ] ]
v_RULNhPrXnfA
188
[ "A man is shown standing in front of a blue background as many harmonicas are shown and he starts playing them.", " He is then shown speaking into the camera and going into detail with regards to the products features.", " He shows off how many he has in his coat and continues talking.", " He is then shown pl...
[ [ [ 9.04, 16.25 ], [ 8.13, 11.53 ], [ 12.8, 18.92 ], [ 8.41, 14.97 ], [ 8.74, 14.81 ], [ 12.44, 15.86 ], [ 12.98, 16.3 ], [ 2.68, 11.02 ], [ 7.34,...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0,...
32.49
[ [ 0, 31.51 ], [ 7.15, 7.8 ], [ 15.59, 16.57 ], [ 21.12, 26.64 ] ]
v_Zd22n1caVgM
33
[ "A boy wearing white shorts is standing in a room.", " He puts something in his mouth.", " He kicks his legs up to the side.", " The kneels down onto the ground." ]
[ [ [ 2.13, 4.18 ], [ 2.64, 4.65 ], [ 4.61, 6.61 ], [ 1.15, 3.22 ], [ 3.54, 6.05 ], [ 10.2, 12.22 ], [ 2, 4 ], [ 1.33, 3.34 ], [ 3.96, 6.02 ...
[ [ 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0 ], [ 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0...
173.78
[ [ 0, 119.04 ], [ 53.87, 169.43 ] ]
v_ZKP5J7OKEvI
174
[ "A small group of people are seen sitting on the side and lead into two people dancing together.", " The people continue dancing along the floor and end by clapping with the band." ]
[ [ [ 33.93, 45.31 ], [ 6.73, 15.08 ], [ 33.87, 45.6 ], [ 8.04, 24.26 ], [ 4.36, 20.82 ], [ 19.03, 32.38 ], [ 9.44, 20.54 ], [ 17.17, 31.43 ], [ 49....
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,...
169.92
[ [ 0, 159.73 ], [ 65.42, 159.73 ] ]
v_44BfVJnhBgc
171
[ "A runner tests a prosthetic leg in a long distance run.", " He runs inside then runs outside." ]
[ [ [ 29.63, 39.33 ], [ 10.64, 30.3 ], [ 29.06, 38.02 ], [ 31.29, 43.74 ], [ 30.62, 43.53 ], [ 46.3, 61.37 ], [ 37.25, 46.35 ], [ 35.39, 46.17 ], [ ...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0,...
48.76
[ [ 0, 14.63 ], [ 14.87, 37.06 ], [ 29.5, 47.54 ] ]
v_VFOjLDa5VtA
48
[ "A small group of people are seen wandering around a tennis court hitting a ball over the net.", " The people hit the ball back and fourth while others watch on the side.", " They continue to play the game as well as others." ]
[ [ [ 7.8, 9.86 ], [ 5.02, 7.77 ], [ 8.88, 12.07 ], [ 5.22, 8.1 ], [ 4.25, 7.72 ], [ 4.37, 6.93 ], [ 7.5600000000000005, 10.36 ], [ 1.57, 4.72 ], [ ...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0,...
136.19
[ [ 0, 40.86 ], [ 48.35, 94.65 ], [ 107.59, 125.97 ] ]
v_O-zE1-Yw3w0
136
[ "A young girl introduces the video and explains what she will be doing to wood.", " She places a piece of bubblewrap and makes sure it covers around about half of the wood.", " She then covers the rest of the wood and walks across it like a plank." ]
[ [ [ 21.85, 31.08 ], [ 5.27, 8.04 ], [ 21.85, 29.28 ], [ 14.48, 23.89 ], [ 13.95, 23.6 ], [ 2.7199999999999998, 5.21 ], [ 16.5, 20.66 ], [ 13.3, 21.51 ], ...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
58.42
[ [ 0, 8.47 ], [ 11.98, 50.54 ], [ 52.58, 58.42 ] ]
v_LFeoVokXAFY
58
[ "A man uses a large plastic blue bat.", " He swings it at a pinata shaped like spongebob squarepants.", " He misses several times, and keeps swinging." ]
[ [ [ 3.6, 5.67 ], [ 4.25, 7.76 ], [ 1.11, 4.45 ], [ 1.49, 5.36 ], [ 2.35, 5.79 ], [ 3.42, 5.73 ], [ 4.71, 6.75 ], [ 5.21, 7.53 ], [ 2.71, 6.2...
[ [ 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0,...
121.05
[ [ 8.47, 12.71 ], [ 13.92, 37.52 ], [ 38.13, 54.47 ], [ 56.29, 61.13 ], [ 67.18, 75.05 ], [ 89.57, 113.18 ] ]
v_HxJnPUqF9i8
121
[ "Athletes throw a javelin during a competition.", " A man practices his throwing stance walking and doing half throws without javeline.", " A man practices his throwing stance walking and doing half throws holding a javeline.", " The man swings a hammer.", " The man throws a weighted ball.", " Athletes tr...
[ [ [ 8.96, 11.63 ], [ 8.47, 10.5 ], [ 8.47, 10.47 ], [ 9.63, 11.7 ], [ 9.23, 11.59 ], [ 8.53, 10.61 ], [ 8.47, 10.48 ], [ 9.49, 11.22 ], [ 8.84, ...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1,...
57.02
[ [ 0, 20.24 ], [ 7.41, 15.11 ], [ 16.25, 30.51 ], [ 32.79, 57.02 ] ]
v_FKl0077EUoY
57
[ "We see a person sharpen a knife on a sanding disc.", " The person touches it and turns it off.", " The person turns it on and then off off.", " We see the man talking to the camera." ]
[ [ [ 2.71, 5.39 ], [ 4.5, 6.99 ], [ 1, 3.7 ], [ 3.9, 7.05 ], [ 2.49, 4.83 ], [ 4.24, 6.89 ], [ 2.94, 5.44 ], [ 2.73, 5 ], [ 3.18, 5.96 ],...
[ [ 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
66.06
[ [ 0, 5.62 ], [ 6.94, 42.61 ], [ 46.57, 66.06 ] ]
v_Y_dtU10XIsg
66
[ "A close up of a crack is seen.", " A woman is outside, shoveling snow.", " A dog wags his tail as he tries to help." ]
[ [ [ 2.18, 4.44 ], [ 2.99, 4.99 ], [ 3.38, 5.52 ], [ 3, 5 ], [ 2.02, 4.33 ], [ 2.24, 5.08 ], [ 2.31, 4.55 ], [ 3, 5 ], [ 2.7199999999999998, ...
[ [ 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
23.38
[ [ 0, 23.38 ], [ 11.69, 21.63 ], [ 21.63, 23.38 ] ]
v_x4iCAIPRDVQ
24
[ "People exercise on fitness machines while people sits on front and watch.", " A man pass on front holding a jacket and stand next a TV.", " A group of woman walk on front people exercising." ]
[ [ [ 4.15, 6.74 ], [ 7.46, 9.46 ], [ 1.87, 4.22 ], [ 6, 8 ], [ 2.79, 5.64 ], [ 4.66, 7.24 ], [ 3.83, 6.97 ], [ 5.17, 7.2 ], [ 5.48, 9.33 ...
[ [ 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1 ], [ 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0...
134.72
[ [ 0, 99.02 ], [ 99.69, 132.7 ], [ 133.37, 134.72 ] ]
v_NwfS7eZiMLg
135
[ "A man is playing the bagpipes at the bottom of the stairs in the living room of a house, wearing a button up and dress pants, along with socks.", " He begins to tap his foot along with the beat of his tune, He starts to tap his left foot in a back and forth rhythm with his right foot.", " He finishes, and smil...
[ [ [ 42.87, 54.13 ], [ 15.46, 30.33 ], [ 28.09, 37.94 ], [ 20.38, 32.24 ], [ 10.75, 25.35 ], [ 38.04, 48.43 ], [ 3, 12.47 ], [ 4.8100000000000005, 14.57 ], ...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1,...
187.83
[ [ 0, 187.83 ], [ 122.09, 129.6 ], [ 143.69, 146.51 ], [ 167.17, 169.98 ] ]
v_aJbl1eVBzk0
188
[ "People are working in a bike shop fixing a bike.", "They put the wheels back onto the bike.", " The put the seat on the bike.", " The bike is put together on the floor." ]
[ [ [ 81.23, 101.83 ], [ 87.12, 113.95 ], [ 38.46, 58.22 ], [ 4.21, 23.61 ], [ 66.01, 85.05 ], [ 9.25, 30.54 ], [ 40.05, 58.16 ], [ 82.9, 102.58 ], [ ...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
185.18
[ [ 0, 90.74 ], [ 52.78, 141.66 ], [ 157.4, 181.48 ] ]
v_UYHgieL5IKM
185
[ "A man is giving advice on outdoor activities, specifically mushrooming and closeup is shown and the man talks about it.", " The man cuts one open and then cuts it in half.", " Another man talks about the experience." ]
[ [ [ 27.28, 37.9 ], [ 45.63, 50.49 ], [ 29.27, 38.33 ], [ 19.55, 33.72 ], [ 19.06, 29.73 ], [ 28.38, 38.37 ], [ 29.87, 40.86 ], [ 27.77, 38.39 ], [ ...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0,...
45.51
[ [ 0, 24.8 ], [ 24.8, 40.96 ] ]
v_h8J08sJ2no0
45
[ "A person walks on the roof of a climbing equipment, then he goes down the wall and reach the floor and walk forward.", " The man stand with the hands on the border on the equipment and descend down the walk with the hands, then he walk on hands sideward." ]
[ [ [ 11.48, 15.09 ], [ 19.54, 24 ], [ 18.1, 21.94 ], [ 4.98, 8.24 ], [ 5.05, 8.54 ], [ 6.5, 11.35 ], [ 22, 24 ], [ 1.85, 4.67 ], [ 5.42, 7.96...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0 ...
73.98
[ [ 0.74, 44.39 ], [ 35.51, 71.39 ] ]
v_g0XO-rWHmzs
74
[ "A woman is seen holding two dogs on a leash and proceeds to unhook them and let them go.", " One down then does his business into a bag tied to him and runs off behind bikes." ]
[ [ [ 4.17, 12.41 ], [ 17.69, 23.78 ], [ 24.77, 29.55 ], [ 8.74, 11.67 ], [ 9.28, 14.14 ], [ 6.3, 9.45 ], [ 16.04, 20.95 ], [ 7.3, 11.88 ], [ 1.6400...
[ [ 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
214.78
[ [ 0, 63.36 ], [ 63.36, 136.38 ], [ 135.31, 214.78 ] ]
v_i2u80Y3BMYs
215
[ "Two men in work out clothes are standing up against the wall and they begin to talk about working out.", "One man is then shown and he bends down and shows the proper way to lift the bar with weight on it.", "A replay is then shown and the boy bends from the knees and then flips his wrist and brings it over hi...
[ [ [ 51.13, 57.63 ], [ 25.29, 40.57 ], [ 32.67, 40.94 ], [ 33.81, 44.95 ], [ 29.2, 42 ], [ 56.8, 61.87 ], [ 49.93, 58.31 ], [ 50.57, 62.06 ], [ 4.4...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
104.33
[ [ 0, 104.33 ], [ 68.86, 80.33 ], [ 100.68, 104.33 ] ]
v_xmag8UI8iws
104
[ " A person is using a leaf blower to blow leaves into a pile.", " The leaves blow up onto a hedge.", " They walk in front of a tree." ]
[ [ [ 13.56, 20.56 ], [ 56.92, 64.9 ], [ 20.91, 28.99 ], [ 38.41, 44.61 ], [ 12.99, 20.7 ], [ 29.05, 38.54 ], [ 2.99, 9.89 ], [ 2.5, 9.97 ], [ 35.19...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
35.55
[ [ 0, 14.04 ], [ 13.51, 28.62 ], [ 28.8, 35.55 ] ]
v_N9LTq3gYmsI
36
[ "A group of people are sitting down at the top of a snow slide in a tube.", "The person holding the camera starts his journey and he is off down the slopes of snow.", "As he reaches the bottom,several black mats are placed in front of him to help slow him down." ]
[ [ [ 6.22, 8.4 ], [ 7.91, 10.03 ], [ 2.45, 4.46 ], [ 9.73, 11.77 ], [ 6.64, 9.23 ], [ 9.08, 11.1 ], [ 11.85, 14.04 ], [ 10.11, 12.29 ], [ 7.77, ...
[ [ 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0 ], [ 0, 0, 0, 0, 0, 0, 0, 0...
187.83
[ [ 0, 165.29 ], [ 171.86, 187.83 ] ]
v_pZ8QqpYu-H8
188
[ "A man is seated at a piano, playing and singing into a microphone.", "When he finishes, he looks up and smiles." ]
[ [ [ 81.94, 105.18 ], [ 54.94, 80.1 ], [ 101.07, 119.73 ], [ 32.51, 54.46 ], [ 37.25, 55.76 ], [ 27.74, 49.79 ], [ 11.61, 28.73 ], [ 5.38, 25.68 ], [ ...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
117.94
[ [ 0, 14.15 ], [ 18.28, 27.71 ], [ 41.87, 117.94 ] ]
v_4hmJfJo6UI8
118
[ "A female athlete runs quickly down a track.", " She plows into the sand before getting up and walking away.", " The scene is repeated three times before ending with her cheering and clapping." ]
[ [ [ 5.36, 7.51 ], [ 5, 9.02 ], [ 4.23, 8.87 ], [ 3.85, 6.91 ], [ 4.73, 7.14 ], [ 1.35, 8.54 ], [ 5.02, 7.48 ], [ 2.13, 7.93 ], [ 0, 4.31 ...
[ [ 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
150.14
[ [ 0, 21.02 ], [ 26.27, 110.35 ], [ 111.1, 150.14 ] ]
v_TEaugXCX1m4
150
[ "A lighthouse is shown on the beach before we see a man running with a surf board.", " The man rides a wave, then through it.", " He completes several stunts before walking onto the beach with the board under his arm." ]
[ [ [ 9.89, 14.62 ], [ 10.82, 19.18 ], [ 9.69, 13.51 ], [ 11.31, 20.64 ], [ 8.2, 13.58 ], [ 9.41, 11.59 ], [ 4.36, 15.4 ], [ 10.84, 18.58 ], [ 8.47,...
[ [ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,...
236.98
[ [ 14.22, 36.73 ], [ 36.73, 213.28 ], [ 94.79, 213.28 ] ]
v_9rW35YTKYq8
237
[ "A man is shown flipping a violin in his hands, playing a popular song on his violin.", " The camera shows the violinist from various angles playing the popular song and not breaking concentration.", " The camera pans all around the player and shows him playing the complete song." ]
[ [ [ 21.02, 33.38 ], [ 24.1, 28.87 ], [ 21.33, 30.9 ], [ 20.74, 27 ], [ 19.09, 29.45 ], [ 21.62, 29.78 ], [ 20.2, 24.5 ], [ 16.76, 22.52 ], [ 20.26...
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Dataset Card for VideoXum

Dataset Summary

The VideoXum dataset represents a novel task in the field of video summarization, extending the scope from single-modal to cross-modal video summarization. This new task focuses on creating video summaries that containing both visual and textual elements with semantic coherence. Built upon the foundation of ActivityNet Captions, VideoXum is a large-scale dataset, including over 14,000 long-duration and open-domain videos. Each video is paired with 10 corresponding video summaries, amounting to a total of 140,000 video-text summary pairs.

Languages

The textual summarization in the dataset are in English.

Dataset Structure

Dataset Splits

train validation test Overall
# of videos 8,000 2,001 4,000 14,001

Dataset Resources

  • train_videoxum.json: annotations of training set
  • val_videoxum.json: annotations of validation set
  • test_videoxum.json: annotations of test set

Dataset Fields

  • video_id: str a unique identifier for the video.
  • duration: float total duration of the video in seconds.
  • sampled_frames: int the number of frames sampled from source video at 1 fps with a uniform sampling schema.
  • timestamps: List_float a list of timestamp pairs, with each pair representing the start and end times of a segment within the video.
  • tsum: List_str each textual video summary provides a summarization of the corresponding video segment as defined by the timestamps.
  • vsum: List_float each visual video summary corresponds to key frames within each video segment as defined by the timestamps. The dimensions (3 x 10) suggest that each video segment was reannotated by 10 different workers.
  • vsum_onehot: List_bool one-hot matrix transformed from 'vsum'. The dimensions (10 x 83) denotes the one-hot labels spanning the entire length of a video, as annotated by 10 workers.

Annotation Sample

For each video, We hire workers to annotate ten shortened video summaries.

{
    'video_id': 'v_QOlSCBRmfWY',
    'duration': 82.73,
    'sampled_frames': 83
    'timestamps': [[0.83, 19.86], [17.37, 60.81], [56.26, 79.42]],
    'tsum': ['A young woman is seen standing in a room and leads into her dancing.',
             'The girl dances around the room while the camera captures her movements.',
             'She continues dancing around the room and ends by laying on the floor.'],
    'vsum': [[[ 7.01, 12.37], ...],
             [[41.05, 45.04], ...],
             [[65.74, 69.28], ...]] (3 x 10 dim)
    'vsum_onehot': [[[0,0,0,...,1,1,...], ...],
                    [[0,0,0,...,1,1,...], ...],
                    [[0,0,0,...,1,1,...], ...],] (10 x 83 dim)
}

File Structure of Dataset

The file structure of VideoXum looks like:

dataset
└── ActivityNet
    β”œβ”€β”€ anno
    β”‚   β”œβ”€β”€ test_videoxum.json
    β”‚   β”œβ”€β”€ train_videoxum.json
    β”‚   └── val_videoxum.json
    └── feat
        β”œβ”€β”€ blip
        β”‚   β”œβ”€β”€ v_00Dk03Jr70M.npz
        β”‚   └── ...
        └── vt_clipscore
            β”œβ”€β”€ v_00Dk03Jr70M.npz
            └── ...

Citation

@article{lin2023videoxum,
  author    = {Lin, Jingyang and Hua, Hang and Chen, Ming and Li, Yikang and Hsiao, Jenhao and Ho, Chiuman and Luo, Jiebo},
  title     = {VideoXum: Cross-modal Visual and Textural Summarization of Videos},
  journal   = {IEEE Transactions on Multimedia},
  year      = {2023},
}
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Paper for MOKISEE/videoxum