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- .gitattributes +274 -0
- train/FloorPlan209_physics/13/0.json +0 -0
- train/FloorPlan209_physics/13/0_depth_npy.npy +3 -0
- train/FloorPlan209_physics/13/0_semantic_sensor_npy.npy +3 -0
- train/FloorPlan209_physics/13/1.json +2255 -0
- train/FloorPlan209_physics/13/1_depth_npy.npy +3 -0
- train/FloorPlan209_physics/13/1_semantic_sensor_npy.npy +3 -0
- train/FloorPlan209_physics/13/depth_0.png +0 -0
- train/FloorPlan209_physics/13/depth_1.png +0 -0
- train/FloorPlan209_physics/13/mask_questions.jsonl +6 -0
- train/FloorPlan209_physics/13/questions_distance.jsonl +3 -0
- train/FloorPlan209_physics/13/rgb_0.png +3 -0
- train/FloorPlan209_physics/13/rgb_0_mask_Laptop|-02.57|+00.58|-02.51.png +3 -0
- train/FloorPlan209_physics/13/rgb_0_mask_Sofa|-04.36|+00.01|-02.09.png +3 -0
- train/FloorPlan209_physics/13/rgb_0_mask_Television|-00.61|+01.67|-02.60.png +3 -0
- train/FloorPlan209_physics/13/rgb_1.png +3 -0
- train/FloorPlan209_physics/13/rgb_1_mask_Laptop|-02.57|+00.58|-02.51.png +3 -0
- train/FloorPlan209_physics/13/rgb_1_mask_Shelf|-02.48|+00.12|-02.49.png +3 -0
- train/FloorPlan209_physics/13/rgb_1_mask_Television|-00.61|+01.67|-02.60.png +3 -0
- train/FloorPlan209_physics/13/semantic_0.png +0 -0
- train/FloorPlan209_physics/13/semantic_1.png +0 -0
- train/FloorPlan209_physics/14/0.json +1310 -0
- train/FloorPlan209_physics/14/0_depth_npy.npy +3 -0
- train/FloorPlan209_physics/14/0_semantic_sensor_npy.npy +3 -0
- train/FloorPlan209_physics/14/1.json +0 -0
- train/FloorPlan209_physics/14/1_depth_npy.npy +3 -0
- train/FloorPlan209_physics/14/1_semantic_sensor_npy.npy +3 -0
- train/FloorPlan209_physics/14/depth_0.png +0 -0
- train/FloorPlan209_physics/14/depth_1.png +0 -0
- train/FloorPlan209_physics/14/mask_questions.jsonl +3 -0
- train/FloorPlan209_physics/14/questions_distance.jsonl +1 -0
- train/FloorPlan209_physics/14/rgb_0.png +3 -0
- train/FloorPlan209_physics/14/rgb_0_mask_GarbageCan|-00.97|-00.03|-05.06.png +3 -0
- train/FloorPlan209_physics/14/rgb_1.png +3 -0
- train/FloorPlan209_physics/14/rgb_1_mask_GarbageCan|-00.97|-00.03|-05.06.png +3 -0
- train/FloorPlan209_physics/14/rgb_1_mask_Vase|-02.61|+00.58|-02.94.png +3 -0
- train/FloorPlan209_physics/14/semantic_0.png +0 -0
- train/FloorPlan209_physics/14/semantic_1.png +0 -0
- train/FloorPlan209_physics/15/0.json +0 -0
- train/FloorPlan209_physics/15/0_depth_npy.npy +3 -0
- train/FloorPlan209_physics/15/0_semantic_sensor_npy.npy +3 -0
- train/FloorPlan209_physics/15/1.json +1201 -0
- train/FloorPlan209_physics/15/1_depth_npy.npy +3 -0
- train/FloorPlan209_physics/15/1_semantic_sensor_npy.npy +3 -0
- train/FloorPlan209_physics/15/depth_0.png +0 -0
- train/FloorPlan209_physics/15/depth_1.png +0 -0
- train/FloorPlan209_physics/15/mask_questions.jsonl +2 -0
- train/FloorPlan209_physics/15/questions_distance.jsonl +1 -0
- train/FloorPlan209_physics/15/rgb_0.png +3 -0
- train/FloorPlan209_physics/15/rgb_0_mask_Laptop|-02.57|+00.58|-02.51.png +3 -0
.gitattributes
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train/train857/2/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train857/2/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train857/2/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/train857/2/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train857/2/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train857/2/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/train263/top_down_image.png filter=lfs diff=lfs merge=lfs -text
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train/train263/3/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train263/3/rgb_1.png filter=lfs diff=lfs merge=lfs -text
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train/train263/3/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train263/3/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train263/4/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train263/4/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/train263/0/rgb_1_mask_Fridge|2|1.png filter=lfs diff=lfs merge=lfs -text
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train/train263/0/rgb_0_mask_Chair|4|1|1.png filter=lfs diff=lfs merge=lfs -text
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train/train263/0/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train263/0/rgb_1.png filter=lfs diff=lfs merge=lfs -text
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train/train263/0/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train263/0/rgb_1_mask_DiningTable|4|1|0.png filter=lfs diff=lfs merge=lfs -text
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train/train263/0/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train263/0/rgb_1_mask_Chair|4|1|1.png filter=lfs diff=lfs merge=lfs -text
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train/train263/0/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train263/0/rgb_0_mask_Fridge|2|1.png filter=lfs diff=lfs merge=lfs -text
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train/train263/0/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/train487/top_down_image.png filter=lfs diff=lfs merge=lfs -text
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train/train487/3/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train487/3/rgb_1.png filter=lfs diff=lfs merge=lfs -text
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train/train487/3/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train487/3/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train487/3/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train487/3/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/train487/4/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train487/4/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train487/4/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train487/0/rgb_1_mask_Fridge|2|1.png filter=lfs diff=lfs merge=lfs -text
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train/train487/0/rgb_0_mask_Chair|4|1|1.png filter=lfs diff=lfs merge=lfs -text
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train/train487/0/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train487/0/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train487/0/rgb_1_mask_DiningTable|4|1|0.png filter=lfs diff=lfs merge=lfs -text
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train/train487/0/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train487/0/rgb_1_mask_Chair|4|1|1.png filter=lfs diff=lfs merge=lfs -text
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train/train487/0/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/train487/0/rgb_0_mask_Fridge|2|1.png filter=lfs diff=lfs merge=lfs -text
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train/train487/0/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/35/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/35/rgb_1.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/35/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/35/rgb_1_mask_Laptop|-02.57|+00.58|-02.51.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/13/rgb_1.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/13/rgb_1_mask_Shelf|-02.48|+00.12|-02.49.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/13/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/13/rgb_0_mask_Television|-00.61|+01.67|-02.60.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/13/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/13/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/13/rgb_1_mask_Laptop|-02.57|+00.58|-02.51.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/13/rgb_1_mask_Television|-00.61|+01.67|-02.60.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/13/rgb_0_mask_Laptop|-02.57|+00.58|-02.51.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/13/rgb_0_mask_Sofa|-04.36|+00.01|-02.09.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/9/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/9/rgb_1.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/9/0_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/9/rgb_1_mask_ArmChair|-04.33|+00.00|-03.53.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/9/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/9/0_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/9/rgb_0.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/9/rgb_1_mask_Laptop|-02.57|+00.58|-02.51.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/9/rgb_0_mask_ArmChair|-04.33|+00.00|-03.53.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/9/rgb_0_mask_Laptop|-02.57|+00.58|-02.51.png filter=lfs diff=lfs merge=lfs -text
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train/FloorPlan209_physics/16/rgb_1_mask_Painting|-03.37|+01.80|-05.39.png filter=lfs diff=lfs merge=lfs -text
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|
| 1 |
+
{
|
| 2 |
+
"object": [
|
| 3 |
+
{
|
| 4 |
+
"objectId": "CreditCard|-02.23|+00.58|-03.05",
|
| 5 |
+
"object_info": {
|
| 6 |
+
"name": "CreditCard_5794fee0",
|
| 7 |
+
"position": {
|
| 8 |
+
"x": -2.2253689765930176,
|
| 9 |
+
"y": 0.5794721841812134,
|
| 10 |
+
"z": -3.0478708744049072
|
| 11 |
+
},
|
| 12 |
+
"rotation": {
|
| 13 |
+
"x": 0.012623273767530918,
|
| 14 |
+
"y": 359.9745788574219,
|
| 15 |
+
"z": 359.9557189941406
|
| 16 |
+
},
|
| 17 |
+
"visible": false,
|
| 18 |
+
"isInteractable": false,
|
| 19 |
+
"receptacle": false,
|
| 20 |
+
"toggleable": false,
|
| 21 |
+
"isToggled": false,
|
| 22 |
+
"breakable": false,
|
| 23 |
+
"isBroken": false,
|
| 24 |
+
"canFillWithLiquid": false,
|
| 25 |
+
"isFilledWithLiquid": false,
|
| 26 |
+
"fillLiquid": null,
|
| 27 |
+
"dirtyable": false,
|
| 28 |
+
"isDirty": false,
|
| 29 |
+
"canBeUsedUp": false,
|
| 30 |
+
"isUsedUp": false,
|
| 31 |
+
"cookable": false,
|
| 32 |
+
"isCooked": false,
|
| 33 |
+
"temperature": "RoomTemp",
|
| 34 |
+
"isHeatSource": false,
|
| 35 |
+
"isColdSource": false,
|
| 36 |
+
"sliceable": false,
|
| 37 |
+
"isSliced": false,
|
| 38 |
+
"openable": false,
|
| 39 |
+
"isOpen": false,
|
| 40 |
+
"openness": 0.0,
|
| 41 |
+
"pickupable": true,
|
| 42 |
+
"isPickedUp": false,
|
| 43 |
+
"moveable": false,
|
| 44 |
+
"mass": 0.005999999586492777,
|
| 45 |
+
"salientMaterials": [
|
| 46 |
+
"Plastic"
|
| 47 |
+
],
|
| 48 |
+
"receptacleObjectIds": null,
|
| 49 |
+
"distance": 1.6814264059066772,
|
| 50 |
+
"objectType": "CreditCard",
|
| 51 |
+
"objectId": "CreditCard|-02.23|+00.58|-03.05",
|
| 52 |
+
"assetId": "CreditCard_1",
|
| 53 |
+
"parentReceptacles": [
|
| 54 |
+
"CoffeeTable|-02.47|+00.00|-02.49"
|
| 55 |
+
],
|
| 56 |
+
"controlledObjects": null,
|
| 57 |
+
"isMoving": false,
|
| 58 |
+
"axisAlignedBoundingBox": {
|
| 59 |
+
"cornerPoints": [
|
| 60 |
+
[
|
| 61 |
+
-2.182279586791992,
|
| 62 |
+
0.5836589336395264,
|
| 63 |
+
-3.0208444595336914
|
| 64 |
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train/FloorPlan209_physics/13/1_depth_npy.npy
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version https://git-lfs.github.com/spec/v1
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train/FloorPlan209_physics/13/1_semantic_sensor_npy.npy
ADDED
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version https://git-lfs.github.com/spec/v1
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size 2359424
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train/FloorPlan209_physics/13/depth_0.png
ADDED
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train/FloorPlan209_physics/13/depth_1.png
ADDED
|
train/FloorPlan209_physics/13/mask_questions.jsonl
ADDED
|
@@ -0,0 +1,6 @@
|
|
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|
|
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|
|
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|
|
| 1 |
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{"id": 18311, "folder_dir": "FloorPlan209_physics/13", "pair_name": "0-1:Shelf|-02.48|+00.12|-02.49", "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. Vase\nB. CoffeeTable\nC. FloorLamp\nD. Shelf", "answer": "D", "object_name": "Shelf", "image_1": "FloorPlan209_physics/13/rgb_0.png", "image_2": "FloorPlan209_physics/13/rgb_1.png", "mask_image": "FloorPlan209_physics/13/rgb_1_mask_Shelf|-02.48|+00.12|-02.49.png", "options": ["Vase", "CoffeeTable", "FloorLamp", "Shelf"]}
|
| 2 |
+
{"id": 18312, "folder_dir": "FloorPlan209_physics/13", "pair_name": "0-1:Laptop|-02.57|+00.58|-02.51", "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. HousePlant\nB. CoffeeTable\nC. Laptop\nD. Book", "answer": "C", "object_name": "Laptop", "image_1": "FloorPlan209_physics/13/rgb_0.png", "image_2": "FloorPlan209_physics/13/rgb_1.png", "mask_image": "FloorPlan209_physics/13/rgb_1_mask_Laptop|-02.57|+00.58|-02.51.png", "options": ["HousePlant", "CoffeeTable", "Laptop", "Book"]}
|
| 3 |
+
{"id": 18313, "folder_dir": "FloorPlan209_physics/13", "pair_name": "0-1:Television|-00.61|+01.67|-02.60", "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. Pen\nB. Painting\nC. Television\nD. CoffeeTable", "answer": "C", "object_name": "Television", "image_1": "FloorPlan209_physics/13/rgb_0.png", "image_2": "FloorPlan209_physics/13/rgb_1.png", "mask_image": "FloorPlan209_physics/13/rgb_1_mask_Television|-00.61|+01.67|-02.60.png", "options": ["Pen", "Painting", "Television", "CoffeeTable"]}
|
| 4 |
+
{"id": 18314, "folder_dir": "FloorPlan209_physics/13", "pair_name": "1-0:Sofa|-04.36|+00.01|-02.09", "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. Mirror\nB. Pillow\nC. Sofa\nD. CoffeeTable", "answer": "C", "object_name": "Sofa", "image_1": "FloorPlan209_physics/13/rgb_1.png", "image_2": "FloorPlan209_physics/13/rgb_0.png", "mask_image": "FloorPlan209_physics/13/rgb_0_mask_Sofa|-04.36|+00.01|-02.09.png", "options": ["Mirror", "Pillow", "Sofa", "CoffeeTable"]}
|
| 5 |
+
{"id": 18315, "folder_dir": "FloorPlan209_physics/13", "pair_name": "1-0:Laptop|-02.57|+00.58|-02.51", "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. CoffeeTable\nB. Laptop\nC. Mirror\nD. Newspaper", "answer": "B", "object_name": "Laptop", "image_1": "FloorPlan209_physics/13/rgb_1.png", "image_2": "FloorPlan209_physics/13/rgb_0.png", "mask_image": "FloorPlan209_physics/13/rgb_0_mask_Laptop|-02.57|+00.58|-02.51.png", "options": ["CoffeeTable", "Laptop", "Mirror", "Newspaper"]}
|
| 6 |
+
{"id": 18316, "folder_dir": "FloorPlan209_physics/13", "pair_name": "1-0:Television|-00.61|+01.67|-02.60", "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. CoffeeTable\nB. Television\nC. Mirror\nD. Newspaper", "answer": "B", "object_name": "Television", "image_1": "FloorPlan209_physics/13/rgb_1.png", "image_2": "FloorPlan209_physics/13/rgb_0.png", "mask_image": "FloorPlan209_physics/13/rgb_0_mask_Television|-00.61|+01.67|-02.60.png", "options": ["CoffeeTable", "Television", "Mirror", "Newspaper"]}
|
train/FloorPlan209_physics/13/questions_distance.jsonl
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"id": 5347, "folder_dir": "FloorPlan209_physics/13", "query": "Which of the following objects is closest to CoffeeTable 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. Shelf\nB. Laptop\nC. Watch\nD. Other\n", "answer": "A", "src_object": "CoffeeTable", "target_object": "Shelf", "question": "Which of the following objects is closest to CoffeeTable 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": "Shelf", "semantic_id": "Shelf|-02.48|+00.12|-02.49", "distance": 0.056116462214367537, "com": {"x": -2.475966215133667, "y": 0.23443388938903809, "z": -2.486457347869873}}, {"text": "Laptop", "semantic_id": "Laptop|-02.57|+00.58|-02.51", "distance": 0.4387645043441464, "com": {"x": -2.5618648529052734, "y": 0.7194148302078247, "z": -2.5174612998962402}}, {"text": "Watch", "semantic_id": "Watch|-02.79|+00.58|-02.07", "distance": 0.6086764573429615, "com": {"x": -2.7899813652038574, "y": 0.5968322157859802, "z": -2.068972587585449}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan209_physics/13/rgb_0.png", "image_2": "FloorPlan209_physics/13/rgb_1.png"}
|
| 2 |
+
{"id": 5348, "folder_dir": "FloorPlan209_physics/13", "query": "Which of the following objects is closest to Shelf 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. Watch\nB. Laptop\nC. CoffeeTable\nD. Other\n", "answer": "C", "src_object": "Shelf", "target_object": "CoffeeTable", "question": "Which of the following objects is closest to Shelf 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": "Watch", "semantic_id": "Watch|-02.79|+00.58|-02.07", "distance": 0.6357920937843217, "com": {"x": -2.7899813652038574, "y": 0.5968322157859802, "z": -2.068972587585449}}, {"text": "Laptop", "semantic_id": "Laptop|-02.57|+00.58|-02.51", "distance": 0.49350413774328816, "com": {"x": -2.5618648529052734, "y": 0.7194148302078247, "z": -2.5174612998962402}}, {"text": "CoffeeTable", "semantic_id": "CoffeeTable|-02.47|+00.00|-02.49", "distance": 0.056116462214367537, "com": {"x": -2.474065065383911, "y": 0.2904379069805145, "z": -2.4894561767578125}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan209_physics/13/rgb_0.png", "image_2": "FloorPlan209_physics/13/rgb_1.png"}
|
| 3 |
+
{"id": 5349, "folder_dir": "FloorPlan209_physics/13", "query": "Which of the following objects is closest to Sofa 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. Pillow\nB. Newspaper\nC. ArmChair\nD. Other\n", "answer": "B", "src_object": "Sofa", "target_object": "Newspaper", "question": "Which of the following objects is closest to Sofa 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": "Pillow", "semantic_id": "Pillow|-04.28|+00.42|-01.74", "distance": 0.36196754217294996, "com": {"x": -4.282398700714111, "y": 0.421733558177948, "z": -1.7359918355941772}}, {"text": "Newspaper", "semantic_id": "Newspaper|-04.24|+00.34|-02.16", "distance": 0.1527201510546356, "com": {"x": -4.2373809814453125, "y": 0.3544965386390686, "z": -2.1638243198394775}}, {"text": "ArmChair", "semantic_id": "ArmChair|-04.33|+00.00|-03.53", "distance": 1.444896917286695, "com": {"x": -4.352629661560059, "y": 0.4103008210659027, "z": -3.534484386444092}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan209_physics/13/rgb_0.png", "image_2": "FloorPlan209_physics/13/rgb_1.png"}
|
train/FloorPlan209_physics/13/rgb_0.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/13/rgb_0_mask_Laptop|-02.57|+00.58|-02.51.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/13/rgb_0_mask_Sofa|-04.36|+00.01|-02.09.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/13/rgb_0_mask_Television|-00.61|+01.67|-02.60.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/13/rgb_1.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/13/rgb_1_mask_Laptop|-02.57|+00.58|-02.51.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/13/rgb_1_mask_Shelf|-02.48|+00.12|-02.49.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/13/rgb_1_mask_Television|-00.61|+01.67|-02.60.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/13/semantic_0.png
ADDED
|
train/FloorPlan209_physics/13/semantic_1.png
ADDED
|
train/FloorPlan209_physics/14/0.json
ADDED
|
@@ -0,0 +1,1310 @@
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| 1 |
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{"id": 18330, "folder_dir": "FloorPlan209_physics/14", "pair_name": "0-1:GarbageCan|-00.97|-00.03|-05.06", "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. CoffeeTable\nB. GarbageCan\nC. Mirror\nD. Television", "answer": "B", "object_name": "GarbageCan", "image_1": "FloorPlan209_physics/14/rgb_0.png", "image_2": "FloorPlan209_physics/14/rgb_1.png", "mask_image": "FloorPlan209_physics/14/rgb_1_mask_GarbageCan|-00.97|-00.03|-05.06.png", "options": ["CoffeeTable", "GarbageCan", "Mirror", "Television"]}
|
| 2 |
+
{"id": 18331, "folder_dir": "FloorPlan209_physics/14", "pair_name": "0-1:Vase|-02.61|+00.58|-02.94", "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. Vase\nB. Television\nC. Watch\nD. CoffeeTable", "answer": "A", "object_name": "Vase", "image_1": "FloorPlan209_physics/14/rgb_0.png", "image_2": "FloorPlan209_physics/14/rgb_1.png", "mask_image": "FloorPlan209_physics/14/rgb_1_mask_Vase|-02.61|+00.58|-02.94.png", "options": ["Vase", "Television", "Watch", "CoffeeTable"]}
|
| 3 |
+
{"id": 18332, "folder_dir": "FloorPlan209_physics/14", "pair_name": "1-0:GarbageCan|-00.97|-00.03|-05.06", "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. Drawer\nC. GarbageCan\nD. CoffeeTable", "answer": "C", "object_name": "GarbageCan", "image_1": "FloorPlan209_physics/14/rgb_1.png", "image_2": "FloorPlan209_physics/14/rgb_0.png", "mask_image": "FloorPlan209_physics/14/rgb_0_mask_GarbageCan|-00.97|-00.03|-05.06.png", "options": ["Sofa", "Drawer", "GarbageCan", "CoffeeTable"]}
|
train/FloorPlan209_physics/14/questions_distance.jsonl
ADDED
|
@@ -0,0 +1 @@
|
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| 1 |
+
{"id": 5357, "folder_dir": "FloorPlan209_physics/14", "query": "Which of the following objects is closest to CoffeeTable 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. Laptop\nB. Watch\nC. Shelf\nD. Other\n", "answer": "C", "src_object": "CoffeeTable", "target_object": "Shelf", "question": "Which of the following objects is closest to CoffeeTable 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": "Laptop", "semantic_id": "Laptop|-02.57|+00.58|-02.51", "distance": 0.4387645043441464, "com": {"x": -2.5618648529052734, "y": 0.7194148302078247, "z": -2.5174612998962402}}, {"text": "Watch", "semantic_id": "Watch|-02.79|+00.58|-02.07", "distance": 0.6086764573429615, "com": {"x": -2.7899813652038574, "y": 0.5968322157859802, "z": -2.068972587585449}}, {"text": "Shelf", "semantic_id": "Shelf|-02.48|+00.12|-02.49", "distance": 0.056116462214367537, "com": {"x": -2.475966215133667, "y": 0.23443388938903809, "z": -2.486457347869873}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan209_physics/14/rgb_0.png", "image_2": "FloorPlan209_physics/14/rgb_1.png"}
|
train/FloorPlan209_physics/14/rgb_0.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/14/rgb_0_mask_GarbageCan|-00.97|-00.03|-05.06.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/14/rgb_1.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/14/rgb_1_mask_GarbageCan|-00.97|-00.03|-05.06.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/14/rgb_1_mask_Vase|-02.61|+00.58|-02.94.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/14/semantic_0.png
ADDED
|
train/FloorPlan209_physics/14/semantic_1.png
ADDED
|
train/FloorPlan209_physics/15/0.json
ADDED
|
The diff for this file is too large to render.
See raw diff
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train/FloorPlan209_physics/15/0_depth_npy.npy
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:3beb0ffa794acce21a8ebcb8a4b2be67141bfc4e488ffb1ada8e9297c40ee557
|
| 3 |
+
size 3145856
|
train/FloorPlan209_physics/15/0_semantic_sensor_npy.npy
ADDED
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0a34c74ef6552dd30a2c60f4f39363923fde87c24979c129bcaa1a51e455e23f
|
| 3 |
+
size 2359424
|
train/FloorPlan209_physics/15/1.json
ADDED
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@@ -0,0 +1,1201 @@
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| 1 |
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{
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| 2 |
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| 3 |
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|
train/FloorPlan209_physics/15/1_depth_npy.npy
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version https://git-lfs.github.com/spec/v1
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|
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size 3145856
|
train/FloorPlan209_physics/15/1_semantic_sensor_npy.npy
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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|
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size 2359424
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train/FloorPlan209_physics/15/depth_0.png
ADDED
|
train/FloorPlan209_physics/15/depth_1.png
ADDED
|
train/FloorPlan209_physics/15/mask_questions.jsonl
ADDED
|
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"id": 18391, "folder_dir": "FloorPlan209_physics/15", "pair_name": "0-1:Laptop|-02.57|+00.58|-02.51", "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. Vase\nB. Laptop\nC. Painting\nD. CoffeeTable", "answer": "B", "object_name": "Laptop", "image_1": "FloorPlan209_physics/15/rgb_0.png", "image_2": "FloorPlan209_physics/15/rgb_1.png", "mask_image": "FloorPlan209_physics/15/rgb_1_mask_Laptop|-02.57|+00.58|-02.51.png", "options": ["Vase", "Laptop", "Painting", "CoffeeTable"]}
|
| 2 |
+
{"id": 18392, "folder_dir": "FloorPlan209_physics/15", "pair_name": "1-0:Laptop|-02.57|+00.58|-02.51", "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. Pillow\nB. CoffeeTable\nC. LightSwitch\nD. Laptop", "answer": "D", "object_name": "Laptop", "image_1": "FloorPlan209_physics/15/rgb_1.png", "image_2": "FloorPlan209_physics/15/rgb_0.png", "mask_image": "FloorPlan209_physics/15/rgb_0_mask_Laptop|-02.57|+00.58|-02.51.png", "options": ["Pillow", "CoffeeTable", "LightSwitch", "Laptop"]}
|
train/FloorPlan209_physics/15/questions_distance.jsonl
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"id": 5390, "folder_dir": "FloorPlan209_physics/15", "query": "Which of the following objects is closest to CoffeeTable 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. CreditCard\nB. Watch\nC. Laptop\nD. Other\n", "answer": "C", "src_object": "CoffeeTable", "target_object": "Laptop", "question": "Which of the following objects is closest to CoffeeTable 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": "CreditCard", "semantic_id": "CreditCard|-02.23|+00.58|-03.05", "distance": 0.6769894139934325, "com": {"x": -2.2253761291503906, "y": 0.5813823938369751, "z": -3.0478644371032715}}, {"text": "Watch", "semantic_id": "Watch|-02.79|+00.58|-02.07", "distance": 0.6086764573429615, "com": {"x": -2.7899813652038574, "y": 0.5968322157859802, "z": -2.068972587585449}}, {"text": "Laptop", "semantic_id": "Laptop|-02.57|+00.58|-02.51", "distance": 0.4387645043441464, "com": {"x": -2.5618648529052734, "y": 0.7194148302078247, "z": -2.5174612998962402}}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "FloorPlan209_physics/15/rgb_0.png", "image_2": "FloorPlan209_physics/15/rgb_1.png"}
|
train/FloorPlan209_physics/15/rgb_0.png
ADDED
|
Git LFS Details
|
train/FloorPlan209_physics/15/rgb_0_mask_Laptop|-02.57|+00.58|-02.51.png
ADDED
|
Git LFS Details
|