Download 0245_txt_ed04c0092873/tasks/010_object_grounding/question_19.json from Ji-Pengliang/Marble-4: direct link, hf CLI and curl.
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https://huggingface.co/datasets/Ji-Pengliang/Marble-4/resolve/ed8d842e06445ecf2abeb3a4e56b9e2ee4db6088/0245_txt_ed04c0092873/tasks/010_object_grounding/question_19.json
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hf download hf://datasets/Ji-Pengliang/Marble-4@ed8d842e06445ecf2abeb3a4e56b9e2ee4db6088/0245_txt_ed04c0092873/tasks/010_object_grounding/question_19.json
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curl -L -o question_19.json https://huggingface.co/datasets/Ji-Pengliang/Marble-4/resolve/ed8d842e06445ecf2abeb3a4e56b9e2ee4db6088/0245_txt_ed04c0092873/tasks/010_object_grounding/question_19.json
1.35 kB
| { | |
| "type": "object_grounding", | |
| "question": "Indicate the washing machine in the image. Your answer should be formatted as a list of tuples, i.e. [(x1, y1)], where each tuple contains the x and y coordinates of a point satisfying the conditions above. The coordinates should be between 0 and 1, indicating the normalized pixel locations of the points in the image.", | |
| "answer": "[(0.822, 0.473), (0.704, 0.411), (0.691, 0.488), (0.9, 0.5), (0.742, 0.527), (0.725, 0.423), (0.855, 0.521), (0.754, 0.411), (0.795, 0.492), (0.786, 0.452), (0.806, 0.494), (0.754, 0.465), (0.828, 0.445), (0.722, 0.545), (0.755, 0.415), (0.677, 0.488)]", | |
| "camera_name": "rand_026", | |
| "camera_position": [ | |
| -1.1894955631139763, | |
| 0.44842549270523896, | |
| 0.5781290234678362 | |
| ], | |
| "camera_look_at": [ | |
| 0.12351615598686205, | |
| -1.0975661046728953, | |
| -0.4375915862253381 | |
| ], | |
| "object": { | |
| "label": "washing machine", | |
| "id": "washing machine_0", | |
| "centroid": [ | |
| -0.49539995193481445, | |
| -1.5338351726531982, | |
| -0.468137264251709 | |
| ], | |
| "image_u": 0.695, | |
| "image_v": 0.527, | |
| "width": 0.38671398162841797, | |
| "length": 0.569580078125, | |
| "height": 0.639399528503418 | |
| }, | |
| "scene_id": "0245_txt_ed04c0092873", | |
| "layout_path": null, | |
| "image_path": "question_image_19.jpg", | |
| "ground_truth_mask": "question_mask_19.png" | |
| } |