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Upload dataset files (batch 63/78)

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  1. .gitattributes +360 -0
  2. test/v3_sc0_staging_16/13_15/13.json +452 -0
  3. test/v3_sc0_staging_16/13_15/13_depth_npy.npy +3 -0
  4. test/v3_sc0_staging_16/13_15/13_rgb_image.png +3 -0
  5. test/v3_sc0_staging_16/13_15/13_semantic_sensor_npy.npy +3 -0
  6. test/v3_sc0_staging_16/13_15/13rgb_semi_depth.png +3 -0
  7. test/v3_sc0_staging_16/13_15/15.json +452 -0
  8. test/v3_sc0_staging_16/13_15/15_depth_npy.npy +3 -0
  9. test/v3_sc0_staging_16/13_15/15_rgb_image.png +3 -0
  10. test/v3_sc0_staging_16/13_15/15_semantic_sensor_npy.npy +3 -0
  11. test/v3_sc0_staging_16/13_15/15rgb_semi_depth.png +3 -0
  12. test/v3_sc0_staging_16/13_15/mask_questions.jsonl +0 -0
  13. test/v3_sc0_staging_16/14_18/14.json +514 -0
  14. test/v3_sc0_staging_16/14_18/14_depth_npy.npy +3 -0
  15. test/v3_sc0_staging_16/14_18/14_rgb_image.png +3 -0
  16. test/v3_sc0_staging_16/14_18/14_rgb_image_mask_76.png +3 -0
  17. test/v3_sc0_staging_16/14_18/14_rgb_image_mask_98.png +3 -0
  18. test/v3_sc0_staging_16/14_18/14_semantic_sensor_npy.npy +3 -0
  19. test/v3_sc0_staging_16/14_18/14rgb_semi_depth.png +3 -0
  20. test/v3_sc0_staging_16/14_18/18.json +390 -0
  21. test/v3_sc0_staging_16/14_18/18_depth_npy.npy +3 -0
  22. test/v3_sc0_staging_16/14_18/18_rgb_image.png +3 -0
  23. test/v3_sc0_staging_16/14_18/18_semantic_sensor_npy.npy +3 -0
  24. test/v3_sc0_staging_16/14_18/18rgb_semi_depth.png +3 -0
  25. test/v3_sc0_staging_16/14_18/mask_questions.jsonl +1 -0
  26. test/v3_sc0_staging_16/14_18/questions_direction.jsonl +2 -0
  27. test/v3_sc0_staging_16/14_18/questions_distance.jsonl +1 -0
  28. test/v3_sc0_staging_16/16_19/16.json +576 -0
  29. test/v3_sc0_staging_16/16_19/16_depth_npy.npy +3 -0
  30. test/v3_sc0_staging_16/16_19/16_rgb_image.png +3 -0
  31. test/v3_sc0_staging_16/16_19/16_semantic_sensor_npy.npy +3 -0
  32. test/v3_sc0_staging_16/16_19/16rgb_semi_depth.png +3 -0
  33. test/v3_sc0_staging_16/16_19/19.json +514 -0
  34. test/v3_sc0_staging_16/16_19/19_depth_npy.npy +3 -0
  35. test/v3_sc0_staging_16/16_19/19_rgb_image.png +3 -0
  36. test/v3_sc0_staging_16/16_19/19_semantic_sensor_npy.npy +3 -0
  37. test/v3_sc0_staging_16/16_19/19rgb_semi_depth.png +3 -0
  38. test/v3_sc0_staging_16/16_19/mask_questions.jsonl +0 -0
  39. test/v3_sc0_staging_16/17_18/17.json +452 -0
  40. test/v3_sc0_staging_16/17_18/17_depth_npy.npy +3 -0
  41. test/v3_sc0_staging_16/17_18/17_rgb_image.png +3 -0
  42. test/v3_sc0_staging_16/17_18/17_rgb_image_mask_98.png +3 -0
  43. test/v3_sc0_staging_16/17_18/17_semantic_sensor_npy.npy +3 -0
  44. test/v3_sc0_staging_16/17_18/17rgb_semi_depth.png +3 -0
  45. test/v3_sc0_staging_16/17_18/18.json +390 -0
  46. test/v3_sc0_staging_16/17_18/18_depth_npy.npy +3 -0
  47. test/v3_sc0_staging_16/17_18/18_rgb_image.png +3 -0
  48. test/v3_sc0_staging_16/17_18/18_semantic_sensor_npy.npy +3 -0
  49. test/v3_sc0_staging_16/17_18/18rgb_semi_depth.png +3 -0
  50. test/v3_sc0_staging_16/17_18/mask_questions.jsonl +0 -0
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+ {"id": 2811, "folder_dir": "v3_sc0_staging_16/14_18", "pair_name": "18-14:76", "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. sofa\nB. rug\nC. wall_cabinet\nD. tv_stand", "answer": "A", "object_name": "sofa", "image_1": "v3_sc0_staging_16/14_18/18_rgb_image.png", "image_2": "v3_sc0_staging_16/14_18/14_rgb_image.png", "mask_image": "v3_sc0_staging_16/14_18/14_rgb_image_mask_76.png", "options": ["sofa", "rug", "wall_cabinet", "tv_stand"]}
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