id stringlengths 13 17 | video stringlengths 6 6 | expression stringlengths 30 130 | fps int64 6 6 | sampling_fps int64 2 2 | height int64 360 2.16k | n_frames int64 105 2.03k | width int64 348 3.84k | task stringclasses 1 value | frame_trajectories listlengths 1 1.91k | mask_id listlengths 1 5 | obj_id listlengths 1 5 |
|---|---|---|---|---|---|---|---|---|---|---|---|
vicas_track_0 | 000000 | Where is the tattooed man in shorts who is working out with a rubber band in his bedroom? | 6 | 2 | 720 | 347 | 718 | track | [
{
"frame": 0,
"time": 0,
"points": [
{
"id": 0,
"point": [
215,
230
],
"occluded": false
}
]
},
{
"frame": 1,
"time": 0.16666666666666602,
"points": [
{
"id": 0,
"point": [
199,
... | [
"0"
] | [
1
] |
vicas_track_1 | 000000 | Where is the rubber band used by the man during his workout? | 6 | 2 | 720 | 347 | 718 | track | [
{
"frame": 0,
"time": 0,
"points": [
{
"id": 0,
"point": [
530,
305
],
"occluded": false
}
]
},
{
"frame": 1,
"time": 0.16666666666666602,
"points": [
{
"id": 0,
"point": [
531,
... | [
"0"
] | [
2
] |
vicas_track_2 | 000001 | Where is the man in a blue plaid shirt who is shaking on the bed? | 6 | 2 | 720 | 196 | 1,280 | track | [
{
"frame": 0,
"time": 0,
"points": [
{
"id": 0,
"point": [
1139,
487
],
"occluded": false
}
]
},
{
"frame": 1,
"time": 0.16666666666666602,
"points": [
{
"id": 0,
"point": [
1142,
... | [
"0"
] | [
1
] |
vicas_track_3 | 000001 | Segment the four pillows on the bed where the man in the blue plaid shirt is shaking his body. | 6 | 2 | 720 | 196 | 1,280 | track | [
{
"frame": 0,
"time": 0,
"points": [
{
"id": 0,
"point": [
358,
424
],
"occluded": false
},
{
"id": 1,
"point": [
643,
272
],
"occluded": false
},
{
"id": 2,
... | [
"0",
"1",
"2",
"3"
] | [
2,
3,
4,
5
] |
vicas_track_4 | 000001 | Where is the quilt located on the bed in front of the wardrobe? | 6 | 2 | 720 | 196 | 1,280 | track | [
{
"frame": 0,
"time": 0,
"points": [
{
"id": 0,
"point": [
1159,
290
],
"occluded": false
}
]
},
{
"frame": 1,
"time": 0.16666666666666602,
"points": [
{
"id": 0,
"point": [
1159,
... | [
"0"
] | [
6
] |
vicas_track_5 | 000001 | Where is the wardrobe with a mirror in front of which the man is shaking his body? | 6 | 2 | 720 | 196 | 1,280 | track | [
{
"frame": 17,
"time": 2.833333333333333,
"points": [
{
"id": 0,
"point": [
1193,
83
],
"occluded": false
}
]
},
{
"frame": 18,
"time": 3,
"points": [
{
"id": 0,
"point": [
1176,
... | [
"0"
] | [
7
] |
vicas_track_6 | 000001 | Where is the mirror located near the man shaking on the bed? | 6 | 2 | 720 | 196 | 1,280 | track | [
{
"frame": 39,
"time": 6.5,
"points": [
{
"id": 0,
"point": [
1064,
0
],
"occluded": false
}
]
},
{
"frame": 40,
"time": 6.666666666666667,
"points": [
{
"id": 0,
"point": [
1060,
... | [
"0"
] | [
8
] |
vicas_track_7 | 000005 | Where is the man in ski equipment who stops because his pants fall down? | 6 | 2 | 720 | 243 | 1,280 | track | [
{
"frame": 0,
"time": 0,
"points": [
{
"id": 0,
"point": [
608,
450
],
"occluded": false
}
]
},
{
"frame": 1,
"time": 0.16666666666666602,
"points": [
{
"id": 0,
"point": [
611,
... | [
"0"
] | [
1
] |
vicas_track_8 | 000005 | Where are the pants that fall down while the man is skiing? | 6 | 2 | 720 | 243 | 1,280 | track | [
{
"frame": 0,
"time": 0,
"points": [
{
"id": 0,
"point": [
594,
471
],
"occluded": false
}
]
},
{
"frame": 1,
"time": 0.16666666666666602,
"points": [
{
"id": 0,
"point": [
598,
... | [
"0"
] | [
2
] |
vicas_track_9 | 000006 | Where is the lizard that is nibbling on food on the table? | 6 | 2 | 720 | 155 | 1,280 | track | [
{
"frame": 0,
"time": 0,
"points": [
{
"id": 0,
"point": [
560,
331
],
"occluded": false
}
]
},
{
"frame": 1,
"time": 0.16666666666666602,
"points": [
{
"id": 0,
"point": [
563,
... | [
"0"
] | [
1
] |
End of preview. Expand
in Data Studio
vicas Tracking Dataset
Video object tracking annotations for vicas.
Configs
| Config | Description | Splits |
|---|---|---|
track (default) |
Track points across all frames | train |
ground |
First and last appearance of points | train |
single_point_track |
Given starting point, track to end | train |
Usage
from datasets import load_dataset
# Default (track)
ds = load_dataset("allenai/molmo2-vicas", split="train")
# Specific config
ds = load_dataset("allenai/molmo2-vicas", "ground", split="train")
- Downloads last month
- 32