Upload dataset files (batch 28/78)
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- .gitattributes +355 -0
- test/v3_sc1_staging_14/19_22/19.json +514 -0
- test/v3_sc1_staging_14/19_22/19_depth_npy.npy +3 -0
- test/v3_sc1_staging_14/19_22/19_rgb_image.png +3 -0
- test/v3_sc1_staging_14/19_22/19_rgb_image_mask_44.png +3 -0
- test/v3_sc1_staging_14/19_22/19_rgb_image_mask_98.png +3 -0
- test/v3_sc1_staging_14/19_22/19_semantic_sensor_npy.npy +3 -0
- test/v3_sc1_staging_14/19_22/19rgb_semi_depth.png +3 -0
- test/v3_sc1_staging_14/19_22/22.json +452 -0
- test/v3_sc1_staging_14/19_22/22_depth_npy.npy +3 -0
- test/v3_sc1_staging_14/19_22/22_rgb_image.png +3 -0
- test/v3_sc1_staging_14/19_22/22_rgb_image_mask_44.png +3 -0
- test/v3_sc1_staging_14/19_22/22_rgb_image_mask_98.png +3 -0
- test/v3_sc1_staging_14/19_22/22_semantic_sensor_npy.npy +3 -0
- test/v3_sc1_staging_14/19_22/22rgb_semi_depth.png +3 -0
- test/v3_sc1_staging_14/19_22/mask_questions.jsonl +4 -0
- test/v3_sc1_staging_14/19_22/questions_distance.jsonl +2 -0
- test/v3_sc1_staging_14/22_23/22.json +452 -0
- test/v3_sc1_staging_14/22_23/22_depth_npy.npy +3 -0
- test/v3_sc1_staging_14/22_23/22_rgb_image.png +3 -0
- test/v3_sc1_staging_14/22_23/22_rgb_image_mask_98.png +3 -0
- test/v3_sc1_staging_14/22_23/22_semantic_sensor_npy.npy +3 -0
- test/v3_sc1_staging_14/22_23/22rgb_semi_depth.png +3 -0
- test/v3_sc1_staging_14/22_23/23.json +452 -0
- test/v3_sc1_staging_14/22_23/23_depth_npy.npy +3 -0
- test/v3_sc1_staging_14/22_23/23_rgb_image.png +3 -0
- test/v3_sc1_staging_14/22_23/23_rgb_image_mask_98.png +3 -0
- test/v3_sc1_staging_14/22_23/23_semantic_sensor_npy.npy +3 -0
- test/v3_sc1_staging_14/22_23/23rgb_semi_depth.png +3 -0
- test/v3_sc1_staging_14/22_23/mask_questions.jsonl +2 -0
- test/v3_sc1_staging_14/22_23/questions_distance.jsonl +1 -0
- test/v3_sc1_staging_14/24_28/28_depth_npy.npy +3 -0
- test/v3_sc1_staging_14/24_28/28rgb_semi_depth.png +3 -0
- test/v3_sc1_staging_14/37_38/37.json +638 -0
- test/v3_sc1_staging_14/37_38/37_depth_npy.npy +3 -0
- test/v3_sc1_staging_14/37_38/37_rgb_image.png +3 -0
- test/v3_sc1_staging_14/37_38/37_semantic_sensor_npy.npy +3 -0
- test/v3_sc1_staging_14/37_38/37rgb_semi_depth.png +3 -0
- test/v3_sc1_staging_14/37_38/38.json +576 -0
- test/v3_sc1_staging_14/37_38/38_depth_npy.npy +3 -0
- test/v3_sc1_staging_14/37_38/38_rgb_image.png +3 -0
- test/v3_sc1_staging_14/37_38/38_semantic_sensor_npy.npy +3 -0
- test/v3_sc1_staging_14/37_38/38rgb_semi_depth.png +3 -0
- test/v3_sc1_staging_14/37_38/mask_questions.jsonl +0 -0
- test/v3_sc1_staging_14/37_38/questions_direction.jsonl +5 -0
- test/v3_sc1_staging_14/7_10/10.json +700 -0
- test/v3_sc1_staging_14/7_10/10_depth_npy.npy +3 -0
- test/v3_sc1_staging_14/7_10/10_rgb_image.png +3 -0
- test/v3_sc1_staging_14/7_10/10_semantic_sensor_npy.npy +3 -0
- test/v3_sc1_staging_14/7_10/10rgb_semi_depth.png +3 -0
.gitattributes
CHANGED
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@@ -9231,3 +9231,358 @@ test/v3_sc2_staging_01/2_4/4_rgb_image_mask_98.png filter=lfs diff=lfs merge=lfs
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test/v3_sc2_staging_01/2_4/2_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc2_staging_01/2_4/2rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc2_staging_01/2_4/4rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc2_staging_01/2_4/2_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc2_staging_01/2_4/2rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc2_staging_01/2_4/4rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/25_28/28rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/25_28/25_rgb_image_mask_76.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/25_28/28_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/25_28/25rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/25_28/25_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/25_28/28_rgb_image.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/25_28/25_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/25_28/25_rgb_image.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/25_28/28_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/1_2/1_rgb_image_mask_76.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/1_2/2_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/1_2/1_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/1_2/1rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/1_2/2_rgb_image.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/1_2/2_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/1_2/1_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/1_2/1_rgb_image.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/1_2/2rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/22_27/27_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/22_27/22_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/22_27/22_rgb_image.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/22_27/27_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/22_27/27rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/22_27/22_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/22_27/27_rgb_image.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/22_27/22rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/30_31/31rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/30_31/30_rgb_image_mask_6.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/30_31/30_rgb_image.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/30_31/30_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/30_31/31_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/30_31/30_rgb_image_mask_98.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/30_31/31_rgb_image.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/30_31/30_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/30_31/30rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/30_31/31_rgb_image_mask_76.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/30_31/31_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/30_31/31_rgb_image_mask_20.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/29_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/30_rgb_image_mask_6.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/30_rgb_image.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/29_rgb_image_mask_98.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/30_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/29_rgb_image_mask_76.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/29_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/30_rgb_image_mask_98.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/30_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/30rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/29rgb_semi_depth.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/29_rgb_image.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/29_30/29_rgb_image_mask_6.png filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/12_14/14_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/12_14/14_semantic_sensor_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_17/12_14/12_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
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test/v3_sc1_staging_14/24_28/28_depth_npy.npy filter=lfs diff=lfs merge=lfs -text
|
test/v3_sc1_staging_14/19_22/19.json
ADDED
|
@@ -0,0 +1,514 @@
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| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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|
test/v3_sc1_staging_14/19_22/19_depth_npy.npy
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Git LFS Details
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test/v3_sc1_staging_14/19_22/19_rgb_image_mask_44.png
ADDED
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Git LFS Details
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test/v3_sc1_staging_14/19_22/19_rgb_image_mask_98.png
ADDED
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Git LFS Details
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test/v3_sc1_staging_14/19_22/19_semantic_sensor_npy.npy
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Git LFS Details
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test/v3_sc1_staging_14/19_22/22.json
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"different_object": [
|
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|
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|
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]
|
| 452 |
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}
|
test/v3_sc1_staging_14/19_22/22_depth_npy.npy
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:45c18695b56e27c0df7454f7695c7057bd93236c7d26bbbe599bc424d0a407bf
|
| 3 |
+
size 3145856
|
test/v3_sc1_staging_14/19_22/22_rgb_image.png
ADDED
|
Git LFS Details
|
test/v3_sc1_staging_14/19_22/22_rgb_image_mask_44.png
ADDED
|
Git LFS Details
|
test/v3_sc1_staging_14/19_22/22_rgb_image_mask_98.png
ADDED
|
Git LFS Details
|
test/v3_sc1_staging_14/19_22/22_semantic_sensor_npy.npy
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d7cf7da0cc29da846438b10ac720442ab163b3a3c2ddfad053ed73de5f460ff4
|
| 3 |
+
size 3145856
|
test/v3_sc1_staging_14/19_22/22rgb_semi_depth.png
ADDED
|
Git LFS Details
|
test/v3_sc1_staging_14/19_22/mask_questions.jsonl
ADDED
|
@@ -0,0 +1,4 @@
|
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| 1 |
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{"id": 1219, "folder_dir": "v3_sc1_staging_14/19_22", "pair_name": "19-22:98", "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. tv_stand\nB. tv_screen\nC. rug\nD. beanbag", "answer": "C", "object_name": "rug", "image_1": "v3_sc1_staging_14/19_22/19_rgb_image.png", "image_2": "v3_sc1_staging_14/19_22/22_rgb_image.png", "mask_image": "v3_sc1_staging_14/19_22/22_rgb_image_mask_98.png", "options": ["tv_stand", "tv_screen", "rug", "beanbag"]}
|
| 2 |
+
{"id": 1220, "folder_dir": "v3_sc1_staging_14/19_22", "pair_name": "19-22:44", "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. tv_stand\nB. beanbag\nC. indoor_plant\nD. tv_screen", "answer": "C", "object_name": "indoor_plant", "image_1": "v3_sc1_staging_14/19_22/19_rgb_image.png", "image_2": "v3_sc1_staging_14/19_22/22_rgb_image.png", "mask_image": "v3_sc1_staging_14/19_22/22_rgb_image_mask_44.png", "options": ["tv_stand", "beanbag", "indoor_plant", "tv_screen"]}
|
| 3 |
+
{"id": 1221, "folder_dir": "v3_sc1_staging_14/19_22", "pair_name": "22-19:98", "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. chair\nB. rug\nC. tv_stand\nD. wall_cabinet", "answer": "B", "object_name": "rug", "image_1": "v3_sc1_staging_14/19_22/22_rgb_image.png", "image_2": "v3_sc1_staging_14/19_22/19_rgb_image.png", "mask_image": "v3_sc1_staging_14/19_22/19_rgb_image_mask_98.png", "options": ["chair", "rug", "tv_stand", "wall_cabinet"]}
|
| 4 |
+
{"id": 1222, "folder_dir": "v3_sc1_staging_14/19_22", "pair_name": "22-19:44", "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. chair\nB. tv_stand\nC. wall_cabinet\nD. indoor_plant", "answer": "D", "object_name": "indoor_plant", "image_1": "v3_sc1_staging_14/19_22/22_rgb_image.png", "image_2": "v3_sc1_staging_14/19_22/19_rgb_image.png", "mask_image": "v3_sc1_staging_14/19_22/19_rgb_image_mask_44.png", "options": ["chair", "tv_stand", "wall_cabinet", "indoor_plant"]}
|
test/v3_sc1_staging_14/19_22/questions_distance.jsonl
ADDED
|
@@ -0,0 +1,2 @@
|
|
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|
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|
|
|
| 1 |
+
{"id": 1070, "folder_dir": "v3_sc1_staging_14/19_22", "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. chair\nB. wall_cabinet\nC. indoor_plant\nD. Other\n", "answer": "C", "src_object": "rug", "target_object": "indoor_plant", "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": "chair", "semantic_id": 20, "distance": 3.4215664323644073, "com": [0.4260149598121643, 0.362333744764328, -0.22974999248981476]}, {"text": "wall_cabinet", "semantic_id": 94, "distance": 2.553335099078779, "com": [3.7546017169952393, 1.0684746503829956, -0.44244107604026794]}, {"text": "indoor_plant", "semantic_id": 44, "distance": 2.227849954384441, "com": [4.044715404510498, 0.9862930774688721, 3.603004217147827]}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "v3_sc1_staging_14/19_22/19_rgb_image.png", "image_2": "v3_sc1_staging_14/19_22/22_rgb_image.png"}
|
| 2 |
+
{"id": 1071, "folder_dir": "v3_sc1_staging_14/19_22", "query": "Which object is closest to the indoor_plant in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.\n\nA. tv_stand\nB. beanbag\nC. rug\nD. Other\n", "answer": "C", "src_object": "indoor_plant", "target_object": "rug", "question": "Which object is closest to the indoor_plant in both images? \nChoose the correct option from the list below. Only respond with the corresponding letter.", "options": [{"text": "tv_stand", "semantic_id": 88, "distance": 4.027868949507675, "com": [0.06914699077606201, 0.37712234258651733, 3.8209378719329834]}, {"text": "beanbag", "semantic_id": 6, "distance": 3.422535730352056, "com": [0.9357966184616089, 0.38910895586013794, 4.903675556182861]}, {"text": "rug", "semantic_id": 98, "distance": 2.227849954384441, "com": [3.1546289920806885, 0.01670096442103386, 1.8055191040039062]}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "v3_sc1_staging_14/19_22/19_rgb_image.png", "image_2": "v3_sc1_staging_14/19_22/22_rgb_image.png"}
|
test/v3_sc1_staging_14/22_23/22.json
ADDED
|
@@ -0,0 +1,452 @@
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|
test/v3_sc1_staging_14/22_23/22_depth_npy.npy
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 3145856
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test/v3_sc1_staging_14/22_23/22_rgb_image.png
ADDED
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Git LFS Details
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test/v3_sc1_staging_14/22_23/22_rgb_image_mask_98.png
ADDED
|
Git LFS Details
|
test/v3_sc1_staging_14/22_23/22_semantic_sensor_npy.npy
ADDED
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@@ -0,0 +1,3 @@
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size 3145856
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test/v3_sc1_staging_14/22_23/22rgb_semi_depth.png
ADDED
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Git LFS Details
|
test/v3_sc1_staging_14/22_23/23.json
ADDED
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@@ -0,0 +1,452 @@
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test/v3_sc1_staging_14/22_23/23_depth_npy.npy
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@@ -0,0 +1,3 @@
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test/v3_sc1_staging_14/22_23/23_rgb_image.png
ADDED
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Git LFS Details
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test/v3_sc1_staging_14/22_23/23_rgb_image_mask_98.png
ADDED
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Git LFS Details
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test/v3_sc1_staging_14/22_23/23_semantic_sensor_npy.npy
ADDED
|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:dc889bc5c0d1b4a6690b989d25a499b31d387187ed8711ba9b498facb030e3c9
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| 3 |
+
size 3145856
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test/v3_sc1_staging_14/22_23/23rgb_semi_depth.png
ADDED
|
Git LFS Details
|
test/v3_sc1_staging_14/22_23/mask_questions.jsonl
ADDED
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@@ -0,0 +1,2 @@
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| 1 |
+
{"id": 1223, "folder_dir": "v3_sc1_staging_14/22_23", "pair_name": "22-23:98", "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. tv_stand\nB. indoor_plant\nC. rug\nD. chair", "answer": "C", "object_name": "rug", "image_1": "v3_sc1_staging_14/22_23/22_rgb_image.png", "image_2": "v3_sc1_staging_14/22_23/23_rgb_image.png", "mask_image": "v3_sc1_staging_14/22_23/23_rgb_image_mask_98.png", "options": ["tv_stand", "indoor_plant", "rug", "chair"]}
|
| 2 |
+
{"id": 1224, "folder_dir": "v3_sc1_staging_14/22_23", "pair_name": "23-22:98", "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. bike\nB. chopping_board\nC. rug\nD. chair", "answer": "C", "object_name": "rug", "image_1": "v3_sc1_staging_14/22_23/23_rgb_image.png", "image_2": "v3_sc1_staging_14/22_23/22_rgb_image.png", "mask_image": "v3_sc1_staging_14/22_23/22_rgb_image_mask_98.png", "options": ["bike", "chopping_board", "rug", "chair"]}
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test/v3_sc1_staging_14/22_23/questions_distance.jsonl
ADDED
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+
{"id": 1072, "folder_dir": "v3_sc1_staging_14/22_23", "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. indoor_plant\nB. chair\nC. wall_cabinet\nD. Other\n", "answer": "A", "src_object": "rug", "target_object": "indoor_plant", "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": "indoor_plant", "semantic_id": 44, "distance": 2.227849954384441, "com": [4.044715404510498, 0.9862930774688721, 3.603004217147827]}, {"text": "chair", "semantic_id": 20, "distance": 3.4215664323644073, "com": [0.4260149598121643, 0.362333744764328, -0.22974999248981476]}, {"text": "wall_cabinet", "semantic_id": 94, "distance": 2.553335099078779, "com": [3.7546017169952393, 1.0684746503829956, -0.44244107604026794]}, {"text": "Other", "semantic_id": -1, "distance": -1, "com": [0, 0, 0]}], "image_1": "v3_sc1_staging_14/22_23/22_rgb_image.png", "image_2": "v3_sc1_staging_14/22_23/23_rgb_image.png"}
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test/v3_sc1_staging_14/24_28/28_depth_npy.npy
ADDED
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:df38daf68aaa2dd03f55b7dfc332bdaf0351a7a3693d5b406decff593b5be43e
|
| 3 |
+
size 3145856
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test/v3_sc1_staging_14/24_28/28rgb_semi_depth.png
ADDED
|
Git LFS Details
|
test/v3_sc1_staging_14/37_38/37.json
ADDED
|
@@ -0,0 +1,638 @@
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|
| 1 |
+
{
|
| 2 |
+
"object": [
|
| 3 |
+
{
|
| 4 |
+
"semantic_id": 6,
|
| 5 |
+
"aabb": {
|
| 6 |
+
"min": [
|
| 7 |
+
-0.5376461744308472,
|
| 8 |
+
-0.3331016004085541,
|
| 9 |
+
-0.5172511339187622
|
| 10 |
+
],
|
| 11 |
+
"max": [
|
| 12 |
+
0.5505869388580322,
|
| 13 |
+
0.41833314299583435,
|
| 14 |
+
0.5236538648605347
|
| 15 |
+
]
|
| 16 |
+
},
|
| 17 |
+
"translation": [
|
| 18 |
+
0.9357966184616089,
|
| 19 |
+
0.38910895586013794,
|
| 20 |
+
4.903675556182861
|
| 21 |
+
],
|
| 22 |
+
"transformation": [
|
| 23 |
+
[
|
| 24 |
+
0.6672013998031616,
|
| 25 |
+
0.0010961068328469992,
|
| 26 |
+
0.7448766231536865,
|
| 27 |
+
0.9357966184616089
|
| 28 |
+
],
|
| 29 |
+
[
|
| 30 |
+
0.000976354640442878,
|
| 31 |
+
0.9999967813491821,
|
| 32 |
+
-0.0023460641968995333,
|
| 33 |
+
0.38910895586013794
|
| 34 |
+
],
|
| 35 |
+
[
|
| 36 |
+
-0.7448767423629761,
|
| 37 |
+
0.002292561111971736,
|
| 38 |
+
0.6671981811523438,
|
| 39 |
+
4.903675556182861
|
| 40 |
+
],
|
| 41 |
+
[
|
| 42 |
+
0.0,
|
| 43 |
+
0.0,
|
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|
test/v3_sc1_staging_14/37_38/37_depth_npy.npy
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 3145856
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test/v3_sc1_staging_14/37_38/37_rgb_image.png
ADDED
|
Git LFS Details
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test/v3_sc1_staging_14/37_38/37_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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size 3145856
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test/v3_sc1_staging_14/37_38/37rgb_semi_depth.png
ADDED
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Git LFS Details
|
test/v3_sc1_staging_14/37_38/38.json
ADDED
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@@ -0,0 +1,576 @@
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}
|
test/v3_sc1_staging_14/37_38/38_depth_npy.npy
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
+
size 3145856
|
test/v3_sc1_staging_14/37_38/38_rgb_image.png
ADDED
|
Git LFS Details
|
test/v3_sc1_staging_14/37_38/38_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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+
size 3145856
|
test/v3_sc1_staging_14/37_38/38rgb_semi_depth.png
ADDED
|
Git LFS Details
|
test/v3_sc1_staging_14/37_38/mask_questions.jsonl
ADDED
|
File without changes
|
test/v3_sc1_staging_14/37_38/questions_direction.jsonl
ADDED
|
@@ -0,0 +1,5 @@
|
|
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+
{"id": 697, "folder_dir": "v3_sc1_staging_14/37_38", "pair_name": "9-44", "query": "Imagine yourself standing at the viewpoint of the first image, facing towards the bike. Where is the indoor_plant 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": "A", "src_object": "bike", "tgt_object": "indoor_plant", "src_com": [-1.9024641513824463, 0.4360314905643463, -2.150594472885132], "tgt_com": [4.044715404510498, 0.9862930774688721, 3.603004217147827], "agent_pos": [-1.0157331228256226, 2.25, -4.081689834594727], "image_1": "v3_sc1_staging_14/37_38/37_rgb_image.png", "image_2": "v3_sc1_staging_14/37_38/38_rgb_image.png", "options": [{"text": "left front", "label": "A"}, {"text": "left rear", "label": "B"}, {"text": "right front", "label": "C"}, {"text": "right rear", "label": "D"}]}
|
| 2 |
+
{"id": 698, "folder_dir": "v3_sc1_staging_14/37_38", "pair_name": "9-98", "query": "Imagine yourself standing at the viewpoint of the first image, facing towards the bike. Where is the grey_rug 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": "A", "src_object": "bike", "tgt_object": "grey_rug", "src_com": [-1.9024641513824463, 0.4360314905643463, -2.150594472885132], "tgt_com": [3.1546289920806885, 0.01670096442103386, 1.8055191040039062], "agent_pos": [-1.0157331228256226, 2.25, -4.081689834594727], "image_1": "v3_sc1_staging_14/37_38/37_rgb_image.png", "image_2": "v3_sc1_staging_14/37_38/38_rgb_image.png", "options": [{"text": "left front", "label": "A"}, {"text": "left rear", "label": "B"}, {"text": "right front", "label": "C"}, {"text": "right rear", "label": "D"}]}
|
| 3 |
+
{"id": 699, "folder_dir": "v3_sc1_staging_14/37_38", "pair_name": "44-9", "query": "Imagine yourself standing at the viewpoint of the first image, facing towards the indoor_plant. Where is the bike 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": "indoor_plant", "tgt_object": "bike", "src_com": [4.044715404510498, 0.9862930774688721, 3.603004217147827], "tgt_com": [-1.9024641513824463, 0.4360314905643463, -2.150594472885132], "agent_pos": [3.214888095855713, 2.430000066757202, -0.11782825738191605], "image_1": "v3_sc1_staging_14/37_38/38_rgb_image.png", "image_2": "v3_sc1_staging_14/37_38/37_rgb_image.png", "options": [{"text": "left front", "label": "A"}, {"text": "left rear", "label": "B"}, {"text": "right front", "label": "C"}, {"text": "right rear", "label": "D"}]}
|
| 4 |
+
{"id": 700, "folder_dir": "v3_sc1_staging_14/37_38", "pair_name": "44-59", "query": "Imagine yourself standing at the viewpoint of the first image, facing towards the indoor_plant. Where is the picture 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": "indoor_plant", "tgt_object": "picture", "src_com": [4.044715404510498, 0.9862930774688721, 3.603004217147827], "tgt_com": [-0.43368539214134216, 1.381300449371338, -2.9771478176116943], "agent_pos": [3.214888095855713, 2.430000066757202, -0.11782825738191605], "image_1": "v3_sc1_staging_14/37_38/38_rgb_image.png", "image_2": "v3_sc1_staging_14/37_38/37_rgb_image.png", "options": [{"text": "left front", "label": "A"}, {"text": "left rear", "label": "B"}, {"text": "right front", "label": "C"}, {"text": "right rear", "label": "D"}]}
|
| 5 |
+
{"id": 701, "folder_dir": "v3_sc1_staging_14/37_38", "pair_name": "98-59", "query": "Imagine yourself standing at the viewpoint of the first image, facing towards the grey_rug. Where is the picture 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": "grey_rug", "tgt_object": "picture", "src_com": [3.1546289920806885, 0.01670096442103386, 1.8055191040039062], "tgt_com": [-0.43368539214134216, 1.381300449371338, -2.9771478176116943], "agent_pos": [3.214888095855713, 2.430000066757202, -0.11782825738191605], "image_1": "v3_sc1_staging_14/37_38/38_rgb_image.png", "image_2": "v3_sc1_staging_14/37_38/37_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_sc1_staging_14/7_10/10.json
ADDED
|
@@ -0,0 +1,700 @@
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test/v3_sc1_staging_14/7_10/10_depth_npy.npy
ADDED
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test/v3_sc1_staging_14/7_10/10_rgb_image.png
ADDED
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Git LFS Details
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test/v3_sc1_staging_14/7_10/10_semantic_sensor_npy.npy
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@@ -0,0 +1,3 @@
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test/v3_sc1_staging_14/7_10/10rgb_semi_depth.png
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Git LFS Details
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