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Datasets:
WanyueZhang
/
MulSeT

Modalities:
Image
Languages:
English
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Tags:
computer-vision
visual-question-answering
multi-modal
spatial-reasoning
synthetic-data
License:
Dataset card Data Studio Files
xet
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WanyueZhang commited on
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Upload dataset files (batch 85/552)

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  1. .gitattributes +249 -0
  2. train/train1021/0/0.json +0 -0
  3. train/train1021/0/0_depth_npy.npy +3 -0
  4. train/train1021/0/0_semantic_sensor_npy.npy +3 -0
  5. train/train1021/0/1.json +1063 -0
  6. train/train1021/0/1_depth_npy.npy +3 -0
  7. train/train1021/0/1_semantic_sensor_npy.npy +3 -0
  8. train/train1021/0/depth_0.png +0 -0
  9. train/train1021/0/depth_1.png +0 -0
  10. train/train1021/0/mask_questions.jsonl +5 -0
  11. train/train1021/0/questions_distance.jsonl +2 -0
  12. train/train1021/0/rgb_0.png +3 -0
  13. train/train1021/0/rgb_0_mask_Chair|4|1|1.png +3 -0
  14. train/train1021/0/rgb_0_mask_Fridge|2|1.png +3 -0
  15. train/train1021/0/rgb_1.png +3 -0
  16. train/train1021/0/rgb_1_mask_Chair|4|1|1.png +3 -0
  17. train/train1021/0/rgb_1_mask_DiningTable|4|1|0.png +3 -0
  18. train/train1021/0/rgb_1_mask_Fridge|2|1.png +3 -0
  19. train/train1021/0/semantic_0.png +0 -0
  20. train/train1021/0/semantic_1.png +0 -0
  21. train/train1021/1/0.json +686 -0
  22. train/train1021/1/0_semantic_sensor_npy.npy +3 -0
  23. train/train1021/1/1_semantic_sensor_npy.npy +3 -0
  24. train/train1021/1/depth_1.png +0 -0
  25. train/train1021/1/rgb_1.png +3 -0
  26. train/train1021/1/semantic_1.png +0 -0
  27. train/train1021/3/0.json +634 -0
  28. train/train1021/3/0_depth_npy.npy +3 -0
  29. train/train1021/3/0_semantic_sensor_npy.npy +3 -0
  30. train/train1021/3/1.json +0 -0
  31. train/train1021/3/1_depth_npy.npy +3 -0
  32. train/train1021/3/1_semantic_sensor_npy.npy +3 -0
  33. train/train1021/3/depth_0.png +0 -0
  34. train/train1021/3/depth_1.png +0 -0
  35. train/train1021/3/mask_questions.jsonl +0 -0
  36. train/train1021/3/questions_direction.jsonl +6 -0
  37. train/train1021/3/rgb_0.png +3 -0
  38. train/train1021/3/rgb_1.png +3 -0
  39. train/train1021/3/semantic_0.png +0 -0
  40. train/train1021/3/semantic_1.png +0 -0
  41. train/train1021/4/0.json +2622 -0
  42. train/train1021/4/0_depth_npy.npy +3 -0
  43. train/train1021/4/0_semantic_sensor_npy.npy +3 -0
  44. train/train1021/4/1.json +634 -0
  45. train/train1021/4/1_depth_npy.npy +3 -0
  46. train/train1021/4/1_semantic_sensor_npy.npy +3 -0
  47. train/train1021/4/depth_0.png +0 -0
  48. train/train1021/4/depth_1.png +0 -0
  49. train/train1021/4/mask_questions.jsonl +0 -0
  50. train/train1021/4/rgb_0.png +3 -0
.gitattributes CHANGED
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+ {"id": 5024, "folder_dir": "train1021/3", "pair_name": "Television-FloorLamp", "query": "Imagine yourself standing at the viewpoint of the first image, facing towards the centroid position of Television. Where is the centroid position of FloorLamp 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": "Television", "tgt_object": "FloorLamp", "src_com": {"x": 4.5883378982543945, "y": 0.8531879782676697, "z": 6.331061840057373}, "tgt_com": {"x": 6.263580322265625, "y": 1.0368435382843018, "z": 0.9614665508270264}, "agent_pos": {"x": 5.199999809265137, "y": 1.5759997367858887, "z": 1.2999999523162842}, "image_1": "train1021/3/rgb_1.png", "image_2": "train1021/3/rgb_0.png", "options": [{"text": "left front", "label": "A"}, {"text": "left rear", "label": "B"}, {"text": "right front", "label": "C"}, {"text": "right rear", "label": "D"}]}
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