Dataset Viewer
Auto-converted to Parquet Duplicate
id
string
video
string
expression
string
fps
int64
sampling_fps
int64
height
int64
n_frames
int64
width
int64
task
string
frame_trajectories
list
mask_id
list
obj_id
list
qid
string
moca_track_0
arabian_horn_viper
arabian horn viper
8
1
720
336
1,280
track
[ { "frame": 0, "time": 0, "points": [ { "id": 0, "point": [ 748, 326 ], "occluded": false } ] }, { "frame": 1, "time": 0.125, "points": [ { "id": 0, "point": [ 765, 351 ],...
[ "0" ]
[ 0 ]
0
moca_track_1
arctic_fox_1
arctic fox
8
1
720
72
1,280
track
[ { "frame": 0, "time": 0, "points": [ { "id": 0, "point": [ 505, 395 ], "occluded": false } ] }, { "frame": 1, "time": 0.125, "points": [ { "id": 0, "point": [ 508, 396 ],...
[ "0" ]
[ 0 ]
0
moca_track_2
arctic_fox_2
arctic fox
4
1
720
216
1,280
track
[ { "frame": 0, "time": 0, "points": [ { "id": 0, "point": [ 825, 494 ], "occluded": false } ] }, { "frame": 1, "time": 0.25, "points": [ { "id": 0, "point": [ 825, 494 ], ...
[ "0" ]
[ 0 ]
0
moca_track_3
arctic_fox_3
arctic fox
4
1
720
168
1,280
track
[ { "frame": 0, "time": 0, "points": [ { "id": 0, "point": [ 557, 315 ], "occluded": false } ] }, { "frame": 1, "time": 0.25, "points": [ { "id": 0, "point": [ 561, 318 ], ...
[ "0" ]
[ 0 ]
0
moca_track_4
arctic_fox
arctic fox
6
1
720
144
1,280
track
[ { "frame": 0, "time": 0, "points": [ { "id": 0, "point": [ 566, 312 ], "occluded": false } ] }, { "frame": 1, "time": 0.16666666666666602, "points": [ { "id": 0, "point": [ 566, ...
[ "0" ]
[ 0 ]
0
moca_track_5
arctic_wolf_0
arctic wolf
8
1
720
336
1,280
track
[ { "frame": 0, "time": 0, "points": [ { "id": 0, "point": [ 31, 444 ], "occluded": false } ] }, { "frame": 1, "time": 0.125, "points": [ { "id": 0, "point": [ 32, 445 ], ...
[ "0" ]
[ 0 ]
0
moca_track_6
arctic_wolf_1
arctic wolf
2
1
720
120
1,280
track
[ { "frame": 0, "time": 0, "points": [ { "id": 0, "point": [ 623, 233 ], "occluded": false } ] }, { "frame": 1, "time": 0.5, "points": [ { "id": 0, "point": [ 625, 236 ], ...
[ "0" ]
[ 0 ]
0
moca_track_7
bear
bear
8
1
720
288
1,280
track
[ { "frame": 0, "time": 0, "points": [ { "id": 0, "point": [ 621, 457 ], "occluded": false } ] }, { "frame": 1, "time": 0.125, "points": [ { "id": 0, "point": [ 619, 460 ],...
[ "0" ]
[ 0 ]
0
moca_track_8
black_cat_0
black cat
8
1
720
192
1,280
track
[ { "frame": 0, "time": 0, "points": [ { "id": 0, "point": [ 672, 426 ], "occluded": false } ] }, { "frame": 1, "time": 0.125, "points": [ { "id": 0, "point": [ 676, 427 ],...
[ "0" ]
[ 0 ]
0
moca_track_9
black_cat_1
black cat
6
1
720
360
1,280
track
[ { "frame": 0, "time": 0, "points": [ { "id": 0, "point": [ 433, 441 ], "occluded": false } ] }, { "frame": 1, "time": 0.16666666666666602, "points": [ { "id": 0, "point": [ 443, ...
[ "0" ]
[ 0 ]
0
End of preview. Expand in Data Studio

moca Tracking Dataset

Video object tracking annotations for moca.

Configs

Config Description Splits
track (default) Track points across all frames train
ground First and last appearance of points train

Usage

from datasets import load_dataset

# Default (track)
ds = load_dataset("allenai/molmo2-moca", split="train")

# Specific config
ds = load_dataset("allenai/molmo2-moca", "ground", split="train")
Downloads last month
29