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Datasets:
WanyueZhang
/
MulSeT

Modalities:
Image
Languages:
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Tags:
computer-vision
visual-question-answering
multi-modal
spatial-reasoning
synthetic-data
License:
Dataset card Data Studio Files
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WanyueZhang commited on
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Upload dataset files (batch 423/552)

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  1. .gitattributes +251 -0
  2. train/train112/1/0.json +635 -0
  3. train/train112/1/0_depth_npy.npy +3 -0
  4. train/train112/1/0_semantic_sensor_npy.npy +3 -0
  5. train/train112/1/1.json +1064 -0
  6. train/train112/1/1_depth_npy.npy +3 -0
  7. train/train112/1/1_semantic_sensor_npy.npy +3 -0
  8. train/train112/1/depth_0.png +0 -0
  9. train/train112/1/depth_1.png +0 -0
  10. train/train112/1/mask_questions.jsonl +5 -0
  11. train/train112/1/questions_distance.jsonl +2 -0
  12. train/train112/1/rgb_0.png +3 -0
  13. train/train112/1/rgb_0_mask_GarbageCan|9|2.png +3 -0
  14. train/train112/1/rgb_0_mask_Toilet|9|0.png +3 -0
  15. train/train112/1/rgb_1.png +3 -0
  16. train/train112/1/rgb_1_mask_GarbageCan|9|2.png +3 -0
  17. train/train112/1/rgb_1_mask_Sink|9|1|0.png +3 -0
  18. train/train112/1/rgb_1_mask_Toilet|9|0.png +3 -0
  19. train/train112/1/semantic_0.png +0 -0
  20. train/train112/1/semantic_1.png +0 -0
  21. train/train112/2/0.json +0 -0
  22. train/train112/2/0_depth_npy.npy +3 -0
  23. train/train112/2/0_semantic_sensor_npy.npy +3 -0
  24. train/train112/2/1.json +635 -0
  25. train/train112/2/1_depth_npy.npy +3 -0
  26. train/train112/2/1_semantic_sensor_npy.npy +3 -0
  27. train/train112/2/depth_0.png +0 -0
  28. train/train112/2/depth_1.png +0 -0
  29. train/train112/2/mask_questions.jsonl +2 -0
  30. train/train112/2/questions_distance.jsonl +1 -0
  31. train/train112/2/rgb_0.png +3 -0
  32. train/train112/2/rgb_0_mask_GarbageCan|9|2.png +3 -0
  33. train/train112/2/rgb_1.png +3 -0
  34. train/train112/2/rgb_1_mask_GarbageCan|9|2.png +3 -0
  35. train/train112/2/semantic_0.png +0 -0
  36. train/train112/2/semantic_1.png +0 -0
  37. train/train112/3/0.json +1064 -0
  38. train/train112/3/0_depth_npy.npy +3 -0
  39. train/train112/3/0_semantic_sensor_npy.npy +3 -0
  40. train/train112/3/1.json +635 -0
  41. train/train112/3/1_depth_npy.npy +3 -0
  42. train/train112/3/1_semantic_sensor_npy.npy +3 -0
  43. train/train112/3/depth_0.png +0 -0
  44. train/train112/3/depth_1.png +0 -0
  45. train/train112/3/mask_questions.jsonl +5 -0
  46. train/train112/3/questions_direction.jsonl +4 -0
  47. train/train112/3/questions_distance.jsonl +2 -0
  48. train/train112/3/rgb_0.png +3 -0
  49. train/train112/3/rgb_0_mask_GarbageCan|9|2.png +3 -0
  50. train/train112/3/rgb_0_mask_Sink|9|1|0.png +3 -0
.gitattributes CHANGED
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+ {"id": 13764, "folder_dir": "train112/3", "pair_name": "0-1:Toilet|9|0", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Dresser\nB. GarbageCan\nC. DogBed\nD. Toilet", "answer": "D", "object_name": "Toilet", "image_1": "train112/3/rgb_0.png", "image_2": "train112/3/rgb_1.png", "mask_image": "train112/3/rgb_1_mask_Toilet|9|0.png", "options": ["Dresser", "GarbageCan", "DogBed", "Toilet"]}
3
+ {"id": 13765, "folder_dir": "train112/3", "pair_name": "1-0:GarbageCan|9|2", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Toilet\nB. GarbageCan\nC. SinkBasin\nD. Faucet", "answer": "B", "object_name": "GarbageCan", "image_1": "train112/3/rgb_1.png", "image_2": "train112/3/rgb_0.png", "mask_image": "train112/3/rgb_0_mask_GarbageCan|9|2.png", "options": ["Toilet", "GarbageCan", "SinkBasin", "Faucet"]}
4
+ {"id": 13766, "folder_dir": "train112/3", "pair_name": "1-0:Toilet|9|0", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. SinkBasin\nB. GarbageCan\nC. Toilet\nD. Faucet", "answer": "C", "object_name": "Toilet", "image_1": "train112/3/rgb_1.png", "image_2": "train112/3/rgb_0.png", "mask_image": "train112/3/rgb_0_mask_Toilet|9|0.png", "options": ["SinkBasin", "GarbageCan", "Toilet", "Faucet"]}
5
+ {"id": 13767, "folder_dir": "train112/3", "pair_name": "1-0:Sink|9|1|0", "query": "Please combine the information from the two images and answer the following question:\nWhat is the object being masked in the second image?\nNote: The masked region is indicated by the black rectangle outlined in red in the second image.\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. GarbageCan\nB. SinkBasin\nC. Faucet\nD. Sink", "answer": "D", "object_name": "Sink", "image_1": "train112/3/rgb_1.png", "image_2": "train112/3/rgb_0.png", "mask_image": "train112/3/rgb_0_mask_Sink|9|1|0.png", "options": ["GarbageCan", "SinkBasin", "Faucet", "Sink"]}
train/train112/3/questions_direction.jsonl ADDED
@@ -0,0 +1,4 @@
 
 
 
 
 
1
+ {"id": 22264, "folder_dir": "train112/3", "pair_name": "Doorway-Faucet", "query": "Imagine yourself standing at the viewpoint of the first image, facing towards the centroid position of Doorway. Where is the centroid position of Faucet in the seconde image located from your perspective?\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. left front\nB. left rear\nC. right front\nD. right rear\n", "answer": "B", "src_object": "Doorway", "tgt_object": "Faucet", "src_com": {"x": 5.072573661804199, "y": 1.0496987104415894, "z": 13.102657318115234}, "tgt_com": {"x": 7.107367515563965, "y": 1.1069157123565674, "z": 15.914653778076172}, "agent_pos": {"x": 5.800000190734863, "y": 1.5759997367858887, "z": 15.399999618530273}, "image_1": "train112/3/rgb_0.png", "image_2": "train112/3/rgb_1.png", "options": [{"text": "left front", "label": "A"}, {"text": "left rear", "label": "B"}, {"text": "right front", "label": "C"}, {"text": "right rear", "label": "D"}]}
2
+ {"id": 22265, "folder_dir": "train112/3", "pair_name": "DogBed-Faucet", "query": "Imagine yourself standing at the viewpoint of the first image, facing towards the centroid position of DogBed. Where is the centroid position of Faucet in the seconde image located from your perspective?\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. left front\nB. left rear\nC. right front\nD. right rear\n", "answer": "B", "src_object": "DogBed", "tgt_object": "Faucet", "src_com": {"x": 4.602237224578857, "y": 0.1579771339893341, "z": 11.416505813598633}, "tgt_com": {"x": 7.107367515563965, "y": 1.1069157123565674, "z": 15.914653778076172}, "agent_pos": {"x": 5.800000190734863, "y": 1.5759997367858887, "z": 15.399999618530273}, "image_1": "train112/3/rgb_0.png", "image_2": "train112/3/rgb_1.png", "options": [{"text": "left front", "label": "A"}, {"text": "left rear", "label": "B"}, {"text": "right front", "label": "C"}, {"text": "right rear", "label": "D"}]}
3
+ {"id": 22266, "folder_dir": "train112/3", "pair_name": "Faucet-Doorway", "query": "Imagine yourself standing at the viewpoint of the first image, facing towards the centroid position of Faucet. Where is the centroid position of Doorway in the seconde image located from your perspective?\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. left front\nB. left rear\nC. right front\nD. right rear\n", "answer": "D", "src_object": "Faucet", "tgt_object": "Doorway", "src_com": {"x": 7.107367515563965, "y": 1.1069157123565674, "z": 15.914653778076172}, "tgt_com": {"x": 5.072573661804199, "y": 1.0496987104415894, "z": 13.102657318115234}, "agent_pos": {"x": 5.800000190734863, "y": 1.5759997367858887, "z": 15.399999618530273}, "image_1": "train112/3/rgb_1.png", "image_2": "train112/3/rgb_0.png", "options": [{"text": "left front", "label": "A"}, {"text": "left rear", "label": "B"}, {"text": "right front", "label": "C"}, {"text": "right rear", "label": "D"}]}
4
+ {"id": 22267, "folder_dir": "train112/3", "pair_name": "Faucet-DogBed", "query": "Imagine yourself standing at the viewpoint of the first image, facing towards the centroid position of Faucet. Where is the centroid position of DogBed in the seconde image located from your perspective?\nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. left front\nB. left rear\nC. right front\nD. right rear\n", "answer": "D", "src_object": "Faucet", "tgt_object": "DogBed", "src_com": {"x": 7.107367515563965, "y": 1.1069157123565674, "z": 15.914653778076172}, "tgt_com": {"x": 4.602237224578857, "y": 0.1579771339893341, "z": 11.416505813598633}, "agent_pos": {"x": 5.800000190734863, "y": 1.5759997367858887, "z": 15.399999618530273}, "image_1": "train112/3/rgb_1.png", "image_2": "train112/3/rgb_0.png", "options": [{"text": "left front", "label": "A"}, {"text": "left rear", "label": "B"}, {"text": "right front", "label": "C"}, {"text": "right rear", "label": "D"}]}
train/train112/3/questions_distance.jsonl ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ {"id": 5577, "folder_dir": "train112/3", "query": "Which of the following objects is closest to GarbageCan in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Toilet\nB. Faucet\nC. Doorway\nD. Other\n", "answer": "A", "src_object": "GarbageCan", "target_object": "Toilet", "question": "Which of the following objects is closest to GarbageCan in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "Toilet", "semantic_id": "Toilet|9|0", "distance": 1.3400028493582496, "com": {"x": 6.7335662841796875, "y": 0.5189566612243652, "z": 12.968742370605469}}, {"text": "Faucet", "semantic_id": "Faucet|9|1|1", "distance": 1.8224936937628213, "com": {"x": 7.107367515563965, "y": 1.1069157123565674, "z": 15.914653778076172}}, {"text": "Doorway", "semantic_id": "door|8|9", "distance": 2.3507465680574495, "com": {"x": 5.072573661804199, "y": 1.0496987104415894, "z": 13.102657318115234}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "train112/3/rgb_0.png", "image_2": "train112/3/rgb_1.png"}
2
+ {"id": 5578, "folder_dir": "train112/3", "query": "Which of the following objects is closest to Toilet in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. Doorway\nB. DogBed\nC. GarbageCan\nD. Other\n", "answer": "C", "src_object": "Toilet", "target_object": "GarbageCan", "question": "Which of the following objects is closest to Toilet in the two images? (Note: Use the distance between centroids to determine closeness.) \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "Doorway", "semantic_id": "door|8|9", "distance": 1.748861580445875, "com": {"x": 5.072573661804199, "y": 1.0496987104415894, "z": 13.102657318115234}}, {"text": "DogBed", "semantic_id": "DogBed|8|2", "distance": 2.661260623894289, "com": {"x": 4.602237224578857, "y": 0.1579771339893341, "z": 11.416505813598633}}, {"text": "GarbageCan", "semantic_id": "GarbageCan|9|2", "distance": 1.3400028493582496, "com": {"x": 6.979842185974121, "y": 0.32789546251296997, "z": 14.271988868713379}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "train112/3/rgb_0.png", "image_2": "train112/3/rgb_1.png"}
train/train112/3/rgb_0.png ADDED

Git LFS Details

  • SHA256: 4d590008528ae889bd3f48387735d9762df638bdf212b5c4d2234f15657dd45a
  • Pointer size: 131 Bytes
  • Size of remote file: 868 kB
train/train112/3/rgb_0_mask_GarbageCan|9|2.png ADDED

Git LFS Details

  • SHA256: d00b7f7dc96d74b4b96a35726ba62ff0ac8a6c2c0b91ffb8e11346e79d4f93cc
  • Pointer size: 131 Bytes
  • Size of remote file: 726 kB
train/train112/3/rgb_0_mask_Sink|9|1|0.png ADDED

Git LFS Details

  • SHA256: f12a757364ff7b63dae42d8d8fa813bdeec1e4019c37340ce38efdcff9137504
  • Pointer size: 131 Bytes
  • Size of remote file: 748 kB