Upload dataset files (batch 78/78)

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+}

test/v3_sc2_staging_15/0_3/3_depth_npy.npy

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+oid sha256:602ee85e37f13958d160727d601bff79998c4e619d3b2da8391593ac94b5a1f8
+size 3145856

test/v3_sc2_staging_15/0_3/3_semantic_sensor_npy.npy

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+size 3145856

test/v3_sc2_staging_15/0_3/mask_questions.jsonl

@@ -0,0 +1 @@
+{"id": 3420, "folder_dir": "v3_sc2_staging_15/0_3", "pair_name": "0-3:76", "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. beanbag\nC. chopping_board\nD. table", "answer": "A", "object_name": "sofa", "image_1": "v3_sc2_staging_15/0_3/0_rgb_image.png", "image_2": "v3_sc2_staging_15/0_3/3_rgb_image.png", "mask_image": "v3_sc2_staging_15/0_3/3_rgb_image_mask_76.png", "options": ["sofa", "beanbag", "chopping_board", "table"]}

test/v3_sc2_staging_15/0_3/questions_distance.jsonl

@@ -0,0 +1,2 @@
+{"id": 2907, "folder_dir": "v3_sc2_staging_15/0_3", "query": "Which object is closest to the rug in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. table\nB. tv_screen\nC. beanbag\nD. Other\n", "answer": "A", "src_object": "rug", "target_object": "table", "question": "Which object is closest to the rug in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "table", "semantic_id": 80, "distance": 1.5192735387870888, "com": [0.8820621967315674, 0.6646652817726135, 5.689149379730225]}, {"text": "tv_screen", "semantic_id": 87, "distance": 2.2121992838015028, "com": [2.159456253051758, 1.3628860712051392, 7.8788909912109375]}, {"text": "beanbag", "semantic_id": 6, "distance": 1.8864137365461398, "com": [3.297959804534912, 0.3466704785823822, 7.611125946044922]}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "v3_sc2_staging_15/0_3/0_rgb_image.png", "image_2": "v3_sc2_staging_15/0_3/3_rgb_image.png"}
+{"id": 2908, "folder_dir": "v3_sc2_staging_15/0_3", "query": "Which object is closest to the sofa in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. table\nB. mat\nC. rug\nD. Other\n", "answer": "A", "src_object": "sofa", "target_object": "table", "question": "Which object is closest to the sofa in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "table", "semantic_id": 80, "distance": 2.107028041163622, "com": [0.8820621967315674, 0.6646652817726135, 5.689149379730225]}, {"text": "mat", "semantic_id": 50, "distance": 3.1828651316337964, "com": [-1.4447346925735474, 0.024904662743210793, 1.061739444732666]}, {"text": "rug", "semantic_id": 98, "distance": 3.092678679832511, "com": [2.185732364654541, 0.01670096442103386, 6.123635768890381]}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "v3_sc2_staging_15/0_3/0_rgb_image.png", "image_2": "v3_sc2_staging_15/0_3/3_rgb_image.png"}

test/v3_sc2_staging_15/11_14/11.json

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+            "aabb": {
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+        ],
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+            3.111377000808716,
+            2.440000057220459,
+            4.0091681480407715
+        ],
+        "semantic_node.transformation": [
+            [
+                0.45509734749794006,
+                -0.5182092189788818,
+                0.7241171598434448,
+                3.111377000808716
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+                -0.2648524343967438,
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+            2.440000057220459,
+            4.0091681480407715
+        ],
+        "semantic_node.rotation": {
+            "scalar": 0.8121574521064758,
+            "vector": [
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+    "different_object": [
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+        94
+    ]
+}

test/v3_sc2_staging_15/11_14/14_depth_npy.npy

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+oid sha256:736578f258d0edf17c13a4ccad6baf296cf94183abd53a997e07f9c4dce18d51
+size 3145856

test/v3_sc2_staging_15/11_14/14_semantic_sensor_npy.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:678109126c0a165d263dab1951f69879a6d9bd381ff7968bc71b9a71ba411f85
+size 3145856

test/v3_sc2_staging_15/11_14/mask_questions.jsonl

@@ -0,0 +1,4 @@
+{"id": 3422, "folder_dir": "v3_sc2_staging_15/11_14", "pair_name": "11-14:98", "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. indoor_plant\nB. table\nC. rug\nD. tv_stand", "answer": "C", "object_name": "rug", "image_1": "v3_sc2_staging_15/11_14/11_rgb_image.png", "image_2": "v3_sc2_staging_15/11_14/14_rgb_image.png", "mask_image": "v3_sc2_staging_15/11_14/14_rgb_image_mask_98.png", "options": ["indoor_plant", "table", "rug", "tv_stand"]}
+{"id": 3423, "folder_dir": "v3_sc2_staging_15/11_14", "pair_name": "11-14:76", "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. indoor_plant\nB. table\nC. sofa\nD. tv_stand", "answer": "C", "object_name": "sofa", "image_1": "v3_sc2_staging_15/11_14/11_rgb_image.png", "image_2": "v3_sc2_staging_15/11_14/14_rgb_image.png", "mask_image": "v3_sc2_staging_15/11_14/14_rgb_image_mask_76.png", "options": ["indoor_plant", "table", "sofa", "tv_stand"]}
+{"id": 3424, "folder_dir": "v3_sc2_staging_15/11_14", "pair_name": "14-11:98", "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. wall_cabinet\nB. mat\nC. rug\nD. table", "answer": "C", "object_name": "rug", "image_1": "v3_sc2_staging_15/11_14/14_rgb_image.png", "image_2": "v3_sc2_staging_15/11_14/11_rgb_image.png", "mask_image": "v3_sc2_staging_15/11_14/11_rgb_image_mask_98.png", "options": ["wall_cabinet", "mat", "rug", "table"]}
+{"id": 3425, "folder_dir": "v3_sc2_staging_15/11_14", "pair_name": "14-11:76", "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. mat\nB. table\nC. sofa\nD. wall_cabinet", "answer": "C", "object_name": "sofa", "image_1": "v3_sc2_staging_15/11_14/14_rgb_image.png", "image_2": "v3_sc2_staging_15/11_14/11_rgb_image.png", "mask_image": "v3_sc2_staging_15/11_14/11_rgb_image_mask_76.png", "options": ["mat", "table", "sofa", "wall_cabinet"]}

test/v3_sc2_staging_15/11_14/questions_direction.jsonl

@@ -0,0 +1,2 @@
+{"id": 1782, "folder_dir": "v3_sc2_staging_15/11_14", "pair_name": "88-94", "query": "Imagine yourself standing at the viewpoint of the first image, facing towards the tv_stand. Where is the wall_cabinet 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": "tv_stand", "tgt_object": "wall_cabinet", "src_com": [3.9173989295959473, 0.37712252140045166, 1.9667695760726929], "tgt_com": [0.9180598855018616, 1.0684746503829956, -0.30077168345451355], "agent_pos": [1.771143913269043, 2.4600000381469727, 1.069224238395691], "image_1": "v3_sc2_staging_15/11_14/11_rgb_image.png", "image_2": "v3_sc2_staging_15/11_14/14_rgb_image.png", "options": [{"text": "left front", "label": "A"}, {"text": "left rear", "label": "B"}, {"text": "right front", "label": "C"}, {"text": "right rear", "label": "D"}]}
+{"id": 1783, "folder_dir": "v3_sc2_staging_15/11_14", "pair_name": "94-88", "query": "Imagine yourself standing at the viewpoint of the first image, facing towards the wall_cabinet. Where is the tv_stand 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": "C", "src_object": "wall_cabinet", "tgt_object": "tv_stand", "src_com": [0.9180598855018616, 1.0684746503829956, -0.30077168345451355], "tgt_com": [3.9173989295959473, 0.37712252140045166, 1.9667695760726929], "agent_pos": [3.111377000808716, 2.440000057220459, 4.0091681480407715], "image_1": "v3_sc2_staging_15/11_14/14_rgb_image.png", "image_2": "v3_sc2_staging_15/11_14/11_rgb_image.png", "options": [{"text": "left front", "label": "A"}, {"text": "left rear", "label": "B"}, {"text": "right front", "label": "C"}, {"text": "right rear", "label": "D"}]}

test/v3_sc2_staging_15/11_14/questions_distance.jsonl

@@ -0,0 +1,3 @@
+{"id": 2910, "folder_dir": "v3_sc2_staging_15/11_14", "query": "Which object is closest to the table in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. rug\nB. sofa\nC. indoor_plant\nD. Other\n", "answer": "A", "src_object": "table", "target_object": "rug", "question": "Which object is closest to the table in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "rug", "semantic_id": 98, "distance": 1.5192735387870888, "com": [2.185732364654541, 0.01670096442103386, 6.123635768890381]}, {"text": "sofa", "semantic_id": 76, "distance": 2.107028041163622, "com": [0.3401242196559906, 0.39470770955085754, 3.6709835529327393]}, {"text": "indoor_plant", "semantic_id": 44, "distance": 3.3029966041640435, "com": [4.067060947418213, 0.9862930774688721, 4.875438690185547]}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "v3_sc2_staging_15/11_14/11_rgb_image.png", "image_2": "v3_sc2_staging_15/11_14/14_rgb_image.png"}
+{"id": 2911, "folder_dir": "v3_sc2_staging_15/11_14", "query": "Which object is closest to the rug in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. sofa\nB. indoor_plant\nC. table\nD. Other\n", "answer": "C", "src_object": "rug", "target_object": "table", "question": "Which object is closest to the rug in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "sofa", "semantic_id": 76, "distance": 3.092678679832511, "com": [0.3401242196559906, 0.39470770955085754, 3.6709835529327393]}, {"text": "indoor_plant", "semantic_id": 44, "distance": 2.4571328920706383, "com": [4.067060947418213, 0.9862930774688721, 4.875438690185547]}, {"text": "table", "semantic_id": 80, "distance": 1.5192735387870888, "com": [0.8820621967315674, 0.6646652817726135, 5.689149379730225]}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "v3_sc2_staging_15/11_14/11_rgb_image.png", "image_2": "v3_sc2_staging_15/11_14/14_rgb_image.png"}
+{"id": 2912, "folder_dir": "v3_sc2_staging_15/11_14", "query": "Which object is closest to the sofa in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. table\nB. rug\nC. mat\nD. Other\n", "answer": "A", "src_object": "sofa", "target_object": "table", "question": "Which object is closest to the sofa in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "table", "semantic_id": 80, "distance": 2.107028041163622, "com": [0.8820621967315674, 0.6646652817726135, 5.689149379730225]}, {"text": "rug", "semantic_id": 98, "distance": 3.092678679832511, "com": [2.185732364654541, 0.01670096442103386, 6.123635768890381]}, {"text": "mat", "semantic_id": 50, "distance": 3.1828651316337964, "com": [-1.4447346925735474, 0.024904662743210793, 1.061739444732666]}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "v3_sc2_staging_15/11_14/11_rgb_image.png", "image_2": "v3_sc2_staging_15/11_14/14_rgb_image.png"}

test/v3_sc2_staging_15/12_19/12.json

@@ -0,0 +1,638 @@
+{
+    "object": [
+        {
+            "semantic_id": 20,
+            "aabb": {
+                "min": [
+                    -0.400141179561615,
+                    -0.34784382581710815,
+                    -0.34745076298713684
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+                    0.36130771040916443
+                ]
+            },
+            "translation": [
+                3.8836283683776855,
+                0.362333744764328,
+                -0.5344756245613098
+            ],
+            "transformation": [
+                [
+                    0.003889799118041992,
+                    1.1944091227178433e-07,
+                    0.9999923706054688,
+                    3.8836283683776855
+                ],
+                [
+                    -1.1944091227178433e-07,
+                    1.0,
+                    -1.1897721208242729e-07,
+                    0.362333744764328
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+                    -1.1897721208242729e-07,
+                    0.003889799118041992,
+                    -0.5344756245613098
+                ],
+                [
+                    0.0,
+                    0.0,
+                    0.0,
+                    1.0
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+            "category_name": "chair",
+            "com": [
+                3.8836283683776855,
+                0.362333744764328,
+                -0.5344756245613098
+            ],
+            "handle": "frl_apartment_chair_01_:0000",
+            "rotation": {
+                "scalar": 0.7084806561470032,
+                "vector": [
+                    -5.551115123125783e-17,
+                    0.7057301998138428,
+                    -8.429369557916289e-08
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+        {
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+            "aabb": {
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+                "max": [
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+                    0.8142510056495667,
+                    0.3373020589351654
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+            },
+            "translation": [
+                4.067060947418213,
+                0.9862930774688721,
+                4.875438690185547
+            ],
+            "transformation": [
+                [
+                    0.0011553764343261719,
+                    1.4902879286182724e-07,
+                    0.9999992847442627,
+                    4.067060947418213
+                ],
+                [
+                    -2.988839398199161e-08,
+                    1.0,
+                    -1.489943599608523e-07,
+                    0.9862930774688721
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+                [
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+                    4.875438690185547
+                ],
+                [
+                    0.0,
+                    0.0,
+                    0.0,
+                    1.0
+                ]
+            ],
+            "category_name": "indoor_plant",
+            "com": [
+                4.067060947418213,
+                0.9862930774688721,
+                4.875438690185547
+            ],
+            "handle": "frl_apartment_indoor_plant_02_:0000",
+            "rotation": {
+                "scalar": 0.7075151205062866,
+                "vector": [
+                    4.214684778958144e-08,
+                    0.7066981792449951,
+                    -6.322026990801533e-08
+                ]
+            }
+        },
+        {
+            "semantic_id": 50,
+            "aabb": {
+                "min": [
+                    -0.47160208225250244,
+                    -0.008968495763838291,
+                    -0.29411405324935913
+                ],
+                "max": [
+                    0.4716017246246338,
+                    0.008968493901193142,
+                    0.2941141128540039
+                ]
+            },
+            "translation": [
+                -1.4447346925735474,
+                0.024904662743210793,
+                1.061739444732666
+            ],
+            "transformation": [
+                [
+                    -1.1920930376163597e-07,
+                    -1.1920928244535389e-07,
+                    -1.0,
+                    -1.4447346925735474
+                ],
+                [
+                    5.960463766996327e-08,
+                    1.0,
+                    -1.1920928955078125e-07,
+                    0.024904662743210793
+                ],
+                [
+                    1.0,
+                    -5.960464477539063e-08,
+                    -1.1920928955078125e-07,
+                    1.061739444732666
+                ],
+                [
+                    0.0,
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+            "category_name": "mat",
+            "com": [
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+            "handle": "frl_apartment_mat_:0000",
+            "rotation": {
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+                "vector": [
+                    2.107342389479072e-08,
+                    -0.7071068286895752,
+                    6.322026990801533e-08
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+            }
+        },
+        {
+            "semantic_id": 76,
+            "aabb": {
+                "min": [
+                    -1.0688520669937134,
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+                    -0.5394264459609985
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+                "max": [
+                    1.0719658136367798,
+                    0.40980491042137146,
+                    0.4239373207092285
+                ]
+            },
+            "translation": [
+                0.3401242196559906,
+                0.39470770955085754,
+                3.6709835529327393
+            ],
+            "transformation": [
+                [
+                    0.9962171912193298,
+                    1.1898899288098619e-07,
+                    -0.08689838647842407,
+                    0.3401242196559906
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+                [
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+            "category_name": "sofa",
+            "com": [
+                0.3401242196559906,
+                0.39470770955085754,
+                3.6709835529327393
+            ],
+            "handle": "frl_apartment_sofa_:0000",
+            "rotation": {
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+                "vector": [
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+        },
+        {
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+            "aabb": {
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+                ],
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+            },
+            "translation": [
+                0.8820621967315674,
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+                5.689149379730225
+            ],
+            "transformation": [
+                [
+                    -0.013280749320983887,
+                    -4.4603550009014725e-07,
+                    -0.9999118447303772,
+                    0.8820621967315674
+                ],
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+            "handle": "frl_apartment_table_01_:0000",
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+                    2.107342425006209e-07
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+            }
+        },
+        {
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+            "translation": [
+                3.9173989295959473,
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+                1.9667695760726929
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+            "transformation": [
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+                    1.773174460595328e-07,
+                    0.9988262057304382,
+                    3.9173989295959473
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+}

test/v3_sc2_staging_15/12_19/19_depth_npy.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8cbac90e9cb1593e4b3857335a25d98671ea316b4c3573f5020b1799d025c2e5
+size 3145856

test/v3_sc2_staging_15/12_19/19_semantic_sensor_npy.npy

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+version https://git-lfs.github.com/spec/v1
+oid sha256:ee265d4f072194326f186e405116fd77075c681ca737bd7d87034b236c68b83d
+size 3145856

test/v3_sc2_staging_15/12_19/mask_questions.jsonl

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+{"id": 3441, "folder_dir": "v3_sc2_staging_15/12_19", "pair_name": "12-19:76", "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. wall_cabinet\nB. sofa\nC. rug\nD. mat", "answer": "B", "object_name": "sofa", "image_1": "v3_sc2_staging_15/12_19/12_rgb_image.png", "image_2": "v3_sc2_staging_15/12_19/19_rgb_image.png", "mask_image": "v3_sc2_staging_15/12_19/19_rgb_image_mask_76.png", "options": ["wall_cabinet", "sofa", "rug", "mat"]}
+{"id": 3442, "folder_dir": "v3_sc2_staging_15/12_19", "pair_name": "19-12:76", "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. tv_screen\nD. beanbag", "answer": "A", "object_name": "sofa", "image_1": "v3_sc2_staging_15/12_19/19_rgb_image.png", "image_2": "v3_sc2_staging_15/12_19/12_rgb_image.png", "mask_image": "v3_sc2_staging_15/12_19/12_rgb_image_mask_76.png", "options": ["sofa", "rug", "tv_screen", "beanbag"]}

test/v3_sc2_staging_15/12_19/questions_distance.jsonl

@@ -0,0 +1,2 @@
+{"id": 2922, "folder_dir": "v3_sc2_staging_15/12_19", "query": "Which object is closest to the rug in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. beanbag\nB. table\nC. tv_screen\nD. Other\n", "answer": "B", "src_object": "rug", "target_object": "table", "question": "Which object is closest to the rug in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "beanbag", "semantic_id": 6, "distance": 1.8864137365461398, "com": [3.297959804534912, 0.3466704785823822, 7.611125946044922]}, {"text": "table", "semantic_id": 80, "distance": 1.5192735387870888, "com": [0.8820621967315674, 0.6646652817726135, 5.689149379730225]}, {"text": "tv_screen", "semantic_id": 87, "distance": 2.2121992838015028, "com": [2.159456253051758, 1.3628860712051392, 7.8788909912109375]}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "v3_sc2_staging_15/12_19/12_rgb_image.png", "image_2": "v3_sc2_staging_15/12_19/19_rgb_image.png"}
+{"id": 2923, "folder_dir": "v3_sc2_staging_15/12_19", "query": "Which object is closest to the sofa in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. mat\nB. rug\nC. table\nD. Other\n", "answer": "C", "src_object": "sofa", "target_object": "table", "question": "Which object is closest to the sofa in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "mat", "semantic_id": 50, "distance": 3.1828651316337964, "com": [-1.4447346925735474, 0.024904662743210793, 1.061739444732666]}, {"text": "rug", "semantic_id": 98, "distance": 3.092678679832511, "com": [2.185732364654541, 0.01670096442103386, 6.123635768890381]}, {"text": "table", "semantic_id": 80, "distance": 2.107028041163622, "com": [0.8820621967315674, 0.6646652817726135, 5.689149379730225]}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "v3_sc2_staging_15/12_19/12_rgb_image.png", "image_2": "v3_sc2_staging_15/12_19/19_rgb_image.png"}

test/v3_sc2_staging_15/14_16/14.json

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+{
+    "object": [
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+            "aabb": {
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+                0.024904662743210793,
+                1.061739444732666
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+            "handle": "frl_apartment_mat_:0000",
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+            "handle": "frl_apartment_table_01_:0000",
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+            "handle": "frl_apartment_rug_02_:0000",
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+    ]
+}

test/v3_sc2_staging_15/14_16/14_depth_npy.npy

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