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image
image
img_fn
string
metadata_fn
string
movie
string
objects
list
width
int64
height
int64
image_width
int64
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image_metadata_dimension_mismatch
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annotations
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lsmdc_3015_CHARLIE_ST_CLOUD/3015_CHARLIE_ST_CLOUD_00.23.57.935-00.24.00.783@0.jpg
lsmdc_3015_CHARLIE_ST_CLOUD/3015_CHARLIE_ST_CLOUD_00.23.57.935-00.24.00.783@0.json
3015_CHARLIE_ST_CLOUD
[ "person", "person", "person", "car" ]
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[ { "movie": "3015_CHARLIE_ST_CLOUD", "objects": [ "person", "person", "person", "car" ], "interesting_scores": [ 0 ], "answer_likelihood": "possible", "img_fn": "lsmdc_3015_CHARLIE_ST_CLOUD/3015_CHARLIE_ST_CLOUD_00.23.57.935-00.24.00.783@0.jpg", "metadata...
lsmdc_3038_ITS_COMPLICATED/3038_ITS_COMPLICATED_00.08.14.616-00.08.17.313@0.jpg
lsmdc_3038_ITS_COMPLICATED/3038_ITS_COMPLICATED_00.08.14.616-00.08.17.313@0.json
3038_ITS_COMPLICATED
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[[[[1061,56],[1051,57],[1041,58],[1035,59],[1032,60],[1020,66],[1016,69],[1010,75],[1006,78],[998,83],[994,86],[988,91],[976,103],[971,109],[968,113],[965,118],[961,126],[959,131],[956,140],[956,143],[952,155],[946,167],[941,173],[940,175],[939,177],[935,189],[934,193],[933,197],[931,206],[930,218],[929,241],[929,247],...
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[ { "movie": "3038_ITS_COMPLICATED", "objects": [ "person", "person", "bottle" ], "interesting_scores": [ 0 ], "answer_likelihood": "likely", "img_fn": "lsmdc_3038_ITS_COMPLICATED/3038_ITS_COMPLICATED_00.08.14.616-00.08.17.313@0.jpg", "metadata_fn": "lsmdc_3038_...
lsmdc_1051_Harry_Potter_and_the_goblet_of_fire/1051_Harry_Potter_and_the_goblet_of_fire_02.10.26.133-02.10.30.224@0.jpg
lsmdc_1051_Harry_Potter_and_the_goblet_of_fire/1051_Harry_Potter_and_the_goblet_of_fire_02.10.26.133-02.10.30.224@0.json
1051_Harry_Potter_and_the_goblet_of_fire
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[ { "movie": "1051_Harry_Potter_and_the_goblet_of_fire", "objects": [ "person", "person", "person", "person", "person", "person", "person", "person", "person" ], "interesting_scores": [ 0 ], "answer_likelihood": "possible", "img_f...
lsmdc_1051_Harry_Potter_and_the_goblet_of_fire/1051_Harry_Potter_and_the_goblet_of_fire_02.21.22.023-02.21.30.292@2.jpg
lsmdc_1051_Harry_Potter_and_the_goblet_of_fire/1051_Harry_Potter_and_the_goblet_of_fire_02.21.22.023-02.21.30.292@2.json
1051_Harry_Potter_and_the_goblet_of_fire
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lsmdc_1051_Harry_Potter_and_the_goblet_of_fire/1051_Harry_Potter_and_the_goblet_of_fire_02.14.47.022-02.14.53.458@1.jpg
lsmdc_1051_Harry_Potter_and_the_goblet_of_fire/1051_Harry_Potter_and_the_goblet_of_fire_02.14.47.022-02.14.53.458@1.json
1051_Harry_Potter_and_the_goblet_of_fire
[ "person", "person", "bed" ]
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[ [ 738.7147216796875, 1.6865234375, 1612.6082763671875, 768.2457885742188, 0.9918081164360046 ], [ 12.4404296875, 0, 859.7769775390625, 776.20166015625, 0.9438839554786682 ], [ 1524.83935546875, 563.5269775390625, 1912.0400390625, 779.5928955078125, ...
[[[[929,3],[869,4],[853,5],[844,6],[838,7],[833,8],[828,9],[824,10],[820,11],[817,12],[814,13],[812,14],[810,15],[809,16],[809,17],[807,19],[804,25],[801,32],[799,37],[798,40],[797,43],[798,53],[801,83],[802,92],[803,101],[806,122],[807,128],[808,133],[810,142],[811,146],[812,150],[813,153],[814,155],[817,159],[818,161...
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[ { "movie": "1051_Harry_Potter_and_the_goblet_of_fire", "objects": [ "person", "person", "bed" ], "interesting_scores": [ 0 ], "answer_likelihood": "likely", "img_fn": "lsmdc_1051_Harry_Potter_and_the_goblet_of_fire/1051_Harry_Potter_and_the_goblet_of_fire_02.14.47...
lsmdc_3057_ROBIN_HOOD/3057_ROBIN_HOOD_01.20.03.466-01.20.05.593@0.jpg
lsmdc_3057_ROBIN_HOOD/3057_ROBIN_HOOD_01.20.03.466-01.20.05.593@0.json
3057_ROBIN_HOOD
[ "person", "person", "horse", "horse", "horse", "horse", "bowl" ]
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[[831.77294921875,197.4019775390625,996.75,407.9569091796875,0.9601019024848938],[836.9012451171875,(...TRUNCATED)
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[{"movie":"3057_ROBIN_HOOD","objects":["person","person","horse","horse","horse","horse","bowl"],"in(...TRUNCATED)
lsmdc_3050_MR_POPPERS_PENGUINS/3050_MR_POPPERS_PENGUINS_01.11.14.821-01.11.20.823@2.jpg
lsmdc_3050_MR_POPPERS_PENGUINS/3050_MR_POPPERS_PENGUINS_01.11.14.821-01.11.20.823@2.json
3050_MR_POPPERS_PENGUINS
[ "person", "person", "person", "person", "person", "tie", "clock" ]
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[{"movie":"3050_MR_POPPERS_PENGUINS","objects":["person","person","person","person","person","tie","(...TRUNCATED)
lsmdc_0009_Forrest_Gump/0009_Forrest_Gump_01.42.17.758-01.42.22.684@1.jpg
lsmdc_0009_Forrest_Gump/0009_Forrest_Gump_01.42.17.758-01.42.22.684@1.json
0009_Forrest_Gump
["person","person","person","person","person","person","person","person","person","person","person",(...TRUNCATED)
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[[1815.5565185546875,413.207275390625,1915.9158935546875,816.766845703125,0.9815630912780762],[1503.(...TRUNCATED)
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[{"movie":"0009_Forrest_Gump","objects":["person","person","person","person","person","person","pers(...TRUNCATED)
lsmdc_3038_ITS_COMPLICATED/3038_ITS_COMPLICATED_00.24.04.696-00.24.09.983@1.jpg
lsmdc_3038_ITS_COMPLICATED/3038_ITS_COMPLICATED_00.24.04.696-00.24.09.983@1.json
3038_ITS_COMPLICATED
[ "person", "person", "person", "person", "person", "person", "person", "person", "person", "tie", "tie" ]
1,920
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[[1520.6427001953125,165.31021118164062,1917.5523681640625,1027.1553955078125,0.9650120139122009],[4(...TRUNCATED)
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[{"movie":"3038_ITS_COMPLICATED","objects":["person","person","person","person","person","person","p(...TRUNCATED)
lsmdc_3038_ITS_COMPLICATED/3038_ITS_COMPLICATED_01.49.34.202-01.49.39.863@2.jpg
lsmdc_3038_ITS_COMPLICATED/3038_ITS_COMPLICATED_01.49.34.202-01.49.39.863@2.json
3038_ITS_COMPLICATED
[ "person", "person", "person", "bench" ]
1,920
1,040
1,920
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[[207.884033203125,434.9228210449219,1906.09326171875,1028.9854736328125,0.7534381151199341],[1061.0(...TRUNCATED)
"[[[[495,434],[298,435],[281,436],[267,437],[255,438],[244,439],[237,440],[233,441],[230,442],[227,4(...TRUNCATED)
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[{"movie":"3038_ITS_COMPLICATED","objects":["person","person","person","bench"],"interesting_scores"(...TRUNCATED)
End of preview. Expand in Data Studio

VCR v1.0

VCR is the Visual Commonsense Reasoning dataset from "From Recognition to Cognition: Visual Commonsense Reasoning" (CVPR 2019).

This Hugging Face version has two loadable configs:

  • image_examples: the default viewer-friendly config, one row per unique image, with grouped annotations.
  • questions: one row per original VCR question/answer/rationale example.

The original annotation JSONL files are also included under original_annotations/ for legacy compatibility.

License and terms

Use of VCR is governed by the original VCR/AI2 dataset license and website terms:

Citation

@inproceedings{zellers2019vcr,
  author = {Zellers, Rowan and Bisk, Yonatan and Farhadi, Ali and Choi, Yejin},
  title = {From Recognition to Cognition: Visual Commonsense Reasoning},
  booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  month = {June},
  year = {2019}
}

Content warning

VCR is annotated from movie images and may contain nudity, violence, offensive content, and biased or problematic depictions.

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