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Add files using upload-large-folder tool

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  1. .tmp_8c602eded707e05a6b8e3d4bdb22dc36/color/color_frame_0000.png +3 -0
  2. .tmp_8c602eded707e05a6b8e3d4bdb22dc36/color/color_frame_0001.png +3 -0
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  20. .tmp_8c602eded707e05a6b8e3d4bdb22dc36/color/color_frame_0020.png +3 -0
  21. .tmp_8c602eded707e05a6b8e3d4bdb22dc36/color/color_frame_0021.png +3 -0
  22. .tmp_8c602eded707e05a6b8e3d4bdb22dc36/color/color_frame_0022.png +3 -0
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  24. .tmp_8c602eded707e05a6b8e3d4bdb22dc36/color/color_frame_0024.png +3 -0
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  46. .tmp_8c602eded707e05a6b8e3d4bdb22dc36/event_01_gt.yaml +73 -0
  47. .tmp_8c602eded707e05a6b8e3d4bdb22dc36/event_02_gt.yaml +61 -0
  48. .tmp_8c602eded707e05a6b8e3d4bdb22dc36/image_odometry_data.json +0 -0
  49. egg_qa.csv +81 -0
  50. upload.py +5 -0
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Git LFS Details

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Git LFS Details

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  • Size of remote file: 904 kB
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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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Git LFS Details

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@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ clip_path: "../../videos/clip_01.mp4"
3
+ image_path: "../images"
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+ image_odometry_file: "../image_odometry_data.json"
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+ from_frame: 675
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+ to_frame: 943
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+ event_description: "The person in the video washed a cup with water and detergent, then rinsed it with water."
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+ location: "coffee_room_0"
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+ first_person_mask: [[800, 31], [784, 32], [758, 45], [755, 49], [741, 57], [714, 81], [705, 95], [702, 118], [706, 124], [707, 132], [701, 138], [701, 149], [707, 165], [705, 180], [711, 187], [710, 193], [714, 205], [719, 207], [728, 218], [736, 223], [729, 230], [709, 240], [694, 256], [674, 289], [660, 333], [656, 340], [602, 409], [552, 463], [537, 472], [526, 485], [513, 490], [506, 496], [502, 503], [500, 501], [472, 497], [453, 507], [454, 524], [463, 530], [473, 543], [487, 542], [494, 538], [506, 536], [514, 531], [521, 532], [527, 530], [573, 533], [601, 529], [637, 506], [641, 501], [644, 501], [662, 488], [669, 486], [671, 493], [668, 523], [662, 541], [645, 575], [644, 597], [800, 597]]
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+ objects_of_interest:
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+ counter_0:
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+ object_class: "counter"
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+ description: "Supports the mug and the dish soap bottle"
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+ first_frame: 675
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+ first_mask: [[142, 442], [142, 449], [146, 453], [154, 452], [176, 457], [279, 469], [444, 493], [460, 492], [462, 494], [473, 493], [496, 496], [511, 487], [516, 481], [516, 479], [490, 478], [446, 470], [414, 468], [384, 463], [381, 458], [388, 447], [422, 412], [423, 408], [403, 408], [392, 405], [388, 401], [386, 387], [377, 385], [337, 384], [336, 418], [331, 429], [323, 433], [310, 434], [305, 432], [302, 427], [298, 400], [300, 386], [307, 381], [290, 377], [263, 376], [144, 437]]
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+ last_frame: 943
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+ last_mask: [[142, 442], [142, 449], [145, 453], [308, 473], [387, 486], [406, 487], [442, 492], [450, 495], [566, 510], [589, 515], [617, 517], [651, 524], [692, 527], [725, 533], [735, 533], [737, 526], [736, 510], [725, 507], [699, 508], [689, 506], [686, 501], [680, 498], [681, 495], [678, 494], [678, 498], [675, 501], [662, 501], [621, 494], [594, 492], [584, 489], [520, 482], [503, 478], [454, 473], [446, 470], [414, 468], [383, 463], [381, 459], [388, 448], [418, 417], [426, 405], [435, 398], [436, 394], [430, 391], [407, 389], [402, 392], [400, 412], [397, 417], [391, 420], [371, 420], [363, 417], [360, 413], [356, 398], [357, 389], [354, 384], [279, 376], [262, 376], [181, 417], [160, 430], [152, 432]]
18
+ mug_0:
19
+ object_class: "mug"
20
+ description: "The person washed the cup with water and detergent."
21
+ first_frame: 675
22
+ first_mask: [ [312, 384], [311, 385], [306, 385], [305, 386], [304, 386], [303, 387], [302, 387], [301, 388], [301, 389], [300, 390], [300, 394], [299, 395], [299, 398], [300, 399], [300, 407], [301, 408], [301, 415], [302, 416], [302, 420], [303, 421], [303, 424], [304, 425], [304, 428], [305, 429], [305, 430], [307, 432], [321, 432], [322, 431], [324, 431], [325, 430], [326, 430], [327, 429], [328, 429], [329, 428], [329, 427], [330, 426], [330, 424], [331, 423], [331, 420], [332, 419], [332, 414], [333, 413], [333, 406], [334, 405], [334, 390], [333, 389], [333, 387], [332, 386], [330, 386], [329, 385], [324, 385], [323, 384], ]
23
+ first_box: [298, 383, 334, 432]
24
+ last_frame: 943
25
+ last_mask: [ [308, 391], [307, 392], [303, 392], [302, 393], [301, 393], [300, 394], [298, 394], [295, 397], [295, 411], [296, 412], [296, 420], [297, 421], [297, 426], [298, 427], [298, 430], [299, 431], [299, 433], [300, 434], [300, 436], [301, 437], [301, 438], [302, 439], [303, 439], [304, 440], [319, 440], [320, 439], [322, 439], [326, 435], [326, 433], [327, 432], [327, 431], [328, 430], [328, 429], [329, 428], [329, 427], [330, 426], [330, 424], [331, 423], [331, 398], [330, 397], [330, 396], [329, 395], [329, 394], [328, 393], [327, 393], [326, 392], [323, 392], [322, 391], ]
26
+ last_box: [294, 390, 332, 440]
27
+ dish_soap_bottle_0:
28
+ object_class: "dish_soap_bottle"
29
+ description: "The person used the dish soap to wash the cup."
30
+ first_frame: 675
31
+ first_box: [389, 307, 429, 404]
32
+ first_mask: [ [405, 309], [404, 310], [398, 310], [398, 312], [399, 312], [401, 314], [401, 315], [402, 316], [402, 318], [401, 319], [401, 321], [400, 322], [400, 323], [399, 324], [399, 325], [398, 326], [398, 327], [397, 328], [397, 330], [396, 331], [396, 332], [395, 333], [395, 335], [394, 336], [394, 338], [393, 339], [393, 342], [392, 343], [392, 345], [391, 346], [391, 349], [390, 350], [390, 361], [389, 362], [389, 372], [390, 373], [390, 393], [391, 394], [391, 400], [392, 401], [392, 402], [393, 403], [394, 403], [395, 404], [420, 404], [421, 403], [423, 403], [425, 401], [425, 399], [426, 398], [426, 392], [427, 391], [427, 382], [428, 381], [428, 355], [427, 354], [427, 350], [426, 349], [426, 345], [425, 344], [425, 343], [424, 342], [424, 339], [423, 338], [423, 336], [422, 335], [422, 333], [421, 332], [421, 330], [420, 329], [420, 327], [419, 326], [419, 325], [418, 324], [418, 323], [417, 322], [417, 321], [416, 320], [416, 319], [415, 318], [415, 317], [414, 316], [414, 313], [410, 309], ]
33
+ last_frame: 943
34
+ last_mask: [ [376, 315], [375, 316], [374, 316], [374, 317], [373, 318], [373, 324], [372, 325], [372, 327], [371, 328], [371, 329], [370, 330], [370, 331], [369, 332], [369, 333], [368, 334], [368, 336], [367, 337], [367, 338], [366, 339], [366, 340], [365, 341], [365, 342], [364, 343], [364, 345], [363, 346], [363, 349], [362, 350], [362, 352], [361, 353], [361, 355], [360, 356], [360, 360], [359, 361], [359, 373], [358, 374], [358, 378], [359, 379], [359, 396], [360, 397], [360, 406], [361, 407], [361, 412], [362, 413], [362, 414], [363, 414], [364, 415], [365, 415], [366, 416], [371, 416], [372, 417], [391, 417], [392, 416], [394, 416], [396, 414], [396, 411], [397, 410], [397, 403], [398, 402], [398, 393], [399, 392], [399, 364], [398, 363], [398, 358], [397, 357], [397, 355], [396, 354], [396, 352], [395, 351], [395, 348], [394, 347], [394, 345], [393, 344], [393, 342], [392, 341], [392, 339], [391, 338], [391, 337], [390, 336], [390, 334], [389, 333], [389, 332], [388, 331], [388, 330], [387, 329], [387, 328], [386, 327], [386, 325], [385, 324], [385, 321], [384, 320], [384, 319], [383, 318], [383, 317], [381, 315], ]
35
+ last_box: [358, 314, 400, 417]
36
+ brush_1:
37
+ object_class: "brush"
38
+ description: "The person used the brush to scrub the cup."
39
+ first_frame: 675
40
+ first_mask: [ [460, 232], [460, 233], [459, 234], [459, 237], [458, 238], [458, 247], [457, 248], [458, 249], [458, 262], [459, 263], [459, 282], [458, 283], [458, 286], [457, 287], [457, 288], [451, 294], [451, 296], [450, 297], [450, 310], [451, 311], [451, 313], [452, 314], [452, 315], [454, 317], [456, 317], [457, 318], [463, 318], [464, 319], [467, 319], [469, 317], [470, 317], [470, 316], [471, 315], [471, 313], [472, 312], [472, 299], [471, 298], [471, 296], [470, 295], [470, 293], [467, 290], [467, 289], [465, 287], [465, 282], [464, 281], [464, 278], [465, 277], [465, 271], [466, 270], [466, 263], [467, 262], [467, 255], [468, 254], [468, 238], [467, 237], [467, 233], [466, 232], ]
41
+ first_box: [449, 231, 475, 319]
42
+ last_frame: 943
43
+ last_mask: [ [485, 232], [485, 234], [484, 235], [484, 240], [483, 241], [483, 260], [482, 261], [482, 282], [481, 283], [481, 287], [480, 288], [480, 289], [479, 290], [479, 293], [473, 299], [473, 300], [472, 301], [472, 310], [473, 311], [473, 313], [474, 314], [474, 315], [475, 316], [475, 317], [476, 318], [478, 318], [479, 319], [481, 319], [482, 320], [490, 320], [493, 317], [493, 316], [494, 315], [494, 308], [493, 307], [493, 304], [492, 303], [492, 300], [491, 299], [491, 298], [490, 297], [490, 294], [489, 293], [489, 288], [488, 287], [488, 283], [489, 282], [489, 273], [490, 272], [490, 268], [491, 267], [491, 263], [492, 262], [492, 255], [493, 254], [493, 237], [492, 236], [492, 234], [491, 233], [491, 232], ]
44
+ last_box: [470, 230, 496, 321]
45
+ faucet_0:
46
+ object_class: "faucet"
47
+ description: "The person used the faucet to rinse the cup."
48
+ first_frame: 675
49
+ first_mask: [ [538, 284], [537, 285], [532, 285], [531, 286], [527, 286], [526, 287], [525, 287], [524, 288], [523, 288], [523, 289], [521, 291], [521, 292], [520, 293], [520, 294], [519, 295], [519, 297], [518, 298], [518, 301], [517, 302], [517, 311], [516, 312], [516, 314], [517, 315], [517, 316], [518, 317], [525, 317], [526, 316], [526, 315], [527, 314], [527, 308], [528, 307], [528, 303], [529, 302], [529, 300], [530, 299], [530, 298], [532, 296], [534, 296], [535, 295], [538, 295], [540, 297], [540, 299], [541, 300], [541, 302], [540, 303], [540, 327], [539, 328], [539, 353], [538, 354], [538, 362], [536, 364], [527, 364], [526, 363], [525, 364], [524, 364], [523, 365], [523, 368], [522, 369], [522, 374], [521, 375], [521, 377], [522, 378], [522, 379], [526, 379], [527, 380], [532, 380], [534, 382], [534, 388], [535, 389], [535, 392], [534, 393], [534, 404], [533, 405], [533, 413], [536, 416], [539, 416], [540, 417], [545, 417], [546, 416], [548, 416], [550, 414], [550, 405], [549, 404], [549, 388], [550, 387], [550, 384], [552, 382], [560, 382], [561, 383], [573, 383], [573, 381], [574, 380], [574, 370], [573, 369], [573, 368], [571, 368], [570, 367], [558, 367], [557, 366], [550, 366], [548, 364], [548, 351], [549, 350], [549, 330], [550, 329], [550, 306], [551, 305], [551, 297], [550, 296], [550, 291], [549, 290], [549, 288], [546, 285], [544, 285], [543, 284], ]
50
+ first_box: [516, 283, 576, 416]
51
+ last_frame: 943
52
+ last_mask: [ [538, 284], [537, 285], [532, 285], [531, 286], [527, 286], [526, 287], [525, 287], [524, 288], [523, 288], [523, 289], [521, 291], [521, 292], [520, 293], [520, 294], [519, 295], [519, 297], [518, 298], [518, 302], [517, 303], [517, 312], [516, 313], [516, 314], [517, 315], [517, 316], [518, 317], [525, 317], [526, 316], [526, 315], [527, 314], [527, 307], [528, 306], [528, 303], [529, 302], [529, 300], [530, 299], [530, 298], [532, 296], [534, 296], [535, 295], [538, 295], [540, 297], [540, 300], [541, 301], [540, 302], [540, 327], [539, 328], [539, 353], [538, 354], [538, 362], [536, 364], [525, 364], [524, 365], [523, 365], [523, 368], [522, 369], [522, 372], [521, 373], [521, 377], [522, 378], [522, 379], [525, 379], [526, 380], [532, 380], [534, 382], [534, 387], [535, 388], [535, 395], [534, 396], [534, 404], [533, 405], [533, 412], [534, 413], [534, 414], [535, 414], [536, 415], [537, 415], [538, 416], [547, 416], [548, 415], [549, 415], [550, 414], [550, 404], [549, 403], [549, 388], [550, 387], [550, 384], [551, 383], [552, 383], [553, 382], [559, 382], [560, 383], [573, 383], [573, 381], [574, 380], [574, 370], [572, 368], [570, 368], [569, 367], [558, 367], [557, 366], [551, 366], [550, 365], [549, 365], [548, 364], [548, 350], [549, 349], [549, 329], [550, 328], [550, 307], [551, 306], [551, 297], [550, 296], [550, 291], [549, 290], [549, 288], [546, 285], [545, 285], [544, 284], ]
53
+ last_box: [516, 283, 576, 416]
54
+ objects_in_background:
55
+ cabinet_0:
56
+ object_class: "cabinet"
57
+ first_frame: 675
58
+ first_mask: [[185, 0], [182, 3], [182, 26], [192, 221], [324, 227], [329, 223], [330, 215], [336, 212], [344, 214], [395, 214], [399, 216], [399, 224], [401, 226], [409, 227], [411, 218], [412, 3], [410, 0]]
59
+ last_frame: 943
60
+ last_mask: [[185, 0], [182, 4], [192, 221], [203, 223], [327, 226], [332, 213], [394, 214], [400, 218], [400, 227], [408, 228], [410, 226], [412, 4], [410, 0]]
61
+ cabinet_1:
62
+ object_class: "cabinet"
63
+ first_frame: 675
64
+ first_mask: [[414, 0], [412, 213], [414, 225], [418, 223], [420, 216], [425, 214], [486, 214], [493, 217], [494, 229], [500, 231], [675, 235], [682, 233], [686, 200], [687, 155], [697, 36], [697, 0], [665, 0], [664, 2], [661, 0], [631, 0], [630, 2], [629, 0]]
65
+ last_frame: 943
66
+ last_mask: [[414, 2], [414, 218], [491, 215], [498, 231], [683, 233], [697, 0]]
67
+ dishwasher_0:
68
+ object_class: "dishwasher"
69
+ first_frame: 675
70
+ first_mask: [[102, 489], [104, 502], [133, 595], [136, 597], [188, 598], [189, 600], [222, 600], [223, 598], [225, 600], [364, 600], [368, 595], [375, 598], [378, 597], [378, 490], [371, 483], [326, 476], [273, 473], [271, 470], [249, 466], [145, 454], [147, 478], [154, 478], [154, 481], [147, 481], [145, 483], [121, 483], [117, 481], [114, 483], [114, 487], [104, 487]]
71
+ last_frame: 943
72
+ last_mask: [[102, 488], [103, 500], [127, 577], [128, 587], [135, 597], [146, 598], [147, 600], [367, 600], [370, 597], [377, 600], [378, 495], [377, 488], [373, 483], [247, 465], [145, 454], [145, 464], [151, 478], [150, 480], [139, 483], [117, 481], [112, 486]]
73
+
.tmp_8c602eded707e05a6b8e3d4bdb22dc36/event_02_gt.yaml ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ clip_path: "../../videos/clip_02.mp4"
3
+ image_path: "../images/"
4
+ image_odometry_file: "../image_odometry_data.json"
5
+ from_frame: 1881
6
+ to_frame: 1959
7
+ event_description: "The person picked up the mug from the counter, placed it in the cabinet, and then closed the cabinet door."
8
+ location: "coffee_room_0"
9
+ first_person_mask: [[97, 75], [82, 75], [70, 78], [60, 83], [50, 93], [45, 101], [41, 120], [41, 136], [44, 151], [43, 170], [20, 170], [17, 176], [7, 179], [0, 192], [0, 200], [4, 207], [0, 213], [0, 381], [2, 382], [3, 393], [5, 395], [6, 437], [9, 461], [13, 474], [20, 485], [21, 506], [26, 519], [25, 545], [28, 583], [25, 588], [24, 598], [27, 600], [62, 600], [66, 589], [70, 586], [76, 596], [82, 597], [85, 600], [113, 600], [114, 598], [115, 600], [120, 600], [121, 598], [124, 600], [129, 594], [158, 593], [165, 590], [161, 552], [157, 546], [157, 540], [161, 537], [163, 525], [168, 515], [168, 511], [159, 495], [157, 485], [161, 475], [161, 466], [145, 418], [118, 286], [109, 259], [99, 239], [99, 229], [88, 211], [90, 207], [96, 204], [115, 206], [133, 192], [135, 186], [141, 181], [142, 173], [140, 168], [135, 164], [138, 162], [142, 153], [142, 139], [147, 137], [149, 133], [152, 134], [154, 125], [149, 113], [133, 94], [115, 82]]
10
+ objects_of_interest:
11
+ counter_0:
12
+ object_class: "counter"
13
+ description: "Where the mug was picked up from."
14
+ first_frame: 1881
15
+ first_mask: [[244, 399], [244, 407], [251, 412], [275, 413], [311, 419], [313, 421], [391, 432], [432, 442], [447, 442], [464, 448], [560, 464], [564, 467], [606, 471], [614, 474], [655, 480], [676, 486], [704, 488], [707, 490], [730, 492], [738, 495], [800, 505], [800, 415], [776, 412], [772, 409], [754, 406], [752, 404], [714, 400], [705, 401], [705, 411], [701, 413], [699, 448], [694, 462], [685, 466], [443, 426], [438, 422], [438, 419], [480, 385], [484, 384], [494, 374], [490, 371], [464, 369], [461, 386], [456, 392], [434, 393], [429, 392], [425, 388], [423, 366], [418, 362], [345, 355], [258, 390]]
16
+ last_frame: 1959
17
+ last_mask: [[245, 399], [246, 407], [800, 505], [800, 415], [707, 401], [694, 462], [686, 466], [447, 425], [439, 420], [492, 377], [479, 370], [464, 369], [460, 387], [440, 393], [426, 388], [417, 362], [344, 355]]
18
+ mug_0:
19
+ object_class: "mug"
20
+ description: "Picked up from the counter, placed in the cabinet, and then closed the cabinet door."
21
+ first_frame: 1881
22
+ first_mask: [ [341, 383], [340, 385], [338, 386], [339, 391], [340, 393], [342, 394], [345, 397], [347, 399], [350, 400], [351, 401], [353, 402], [352, 405], [353, 407], [353, 408], [355, 410], [355, 411], [357, 413], [358, 413], [359, 414], [361, 414], [362, 415], [372, 415], [373, 414], [375, 414], [378, 411], [378, 410], [379, 409], [379, 408], [380, 407], [380, 404], [381, 403], [381, 398], [382, 397], [382, 391], [382, 388], [383, 376], [380, 373], [379, 373], [378, 372], [376, 372], [375, 371], [361, 371], [360, 372], [357, 372], [356, 373], [355, 373], [354, 374], [353, 374], [352, 375], [351, 375], [350, 376], [350, 378], [350, 380], [350, 383], [346, 381], [344, 382], [343, 382], ]
23
+ first_box: [338, 370, 382, 413]
24
+ last_frame: 1941
25
+ last_mask:
26
+ [ [443, 184], [438, 196], [439, 218], [441, 220], [464, 220], [466, 217], [464, 186], [461, 183], ]
27
+ last_box: [437, 181, 466, 220]
28
+ cabinet_0:
29
+ object_class: "cabinet"
30
+ description: "Opened to place the mug inside, then closed."
31
+ first_frame: 1881
32
+ first_mask:
33
+ [ [284, 0], [283, 60], [289, 215], [293, 219], [302, 221], [391, 224], [400, 223], [401, 217], [407, 212], [457, 214], [463, 222], [466, 222], [469, 207], [474, 0], ]
34
+ last_frame: 1959
35
+ last_mask: [ [283, 0], [283, 61], [289, 216], [295, 220], [313, 222], [390, 224], [399, 223], [401, 217], [406, 212], [458, 214], [465, 222], [469, 207], [474, 0], ]
36
+ objects_in_background:
37
+ cabinet_1:
38
+ object_class: "cabinet"
39
+ first_frame: 1881
40
+ first_mask: [[477, 0], [472, 175], [473, 215], [476, 213], [534, 213], [541, 216], [543, 225], [557, 228], [707, 231], [724, 26], [724, 0], [699, 0], [698, 2], [692, 3], [689, 0]]
41
+ last_frame: 1959
42
+ last_mask: [[478, 0], [476, 4], [472, 153], [473, 217], [479, 213], [539, 214], [544, 226], [556, 228], [707, 231], [711, 209], [714, 134], [724, 27], [724, 0]]
43
+ dish_soap_bottle_0:
44
+ object_class: "dish_soap_bottle"
45
+ first_frame: 1881
46
+ first_mask: [[441, 301], [438, 303], [437, 312], [430, 324], [425, 339], [426, 387], [429, 389], [451, 391], [457, 388], [460, 342], [445, 301]]
47
+ last_frame: 1959
48
+ last_mask: [[440, 301], [429, 326], [425, 342], [426, 386], [434, 390], [455, 390], [458, 383], [460, 363], [459, 337], [446, 301]]
49
+ brush_1:
50
+ object_class: "brush"
51
+ first_frame: 1881
52
+ first_mask: [[538, 229], [535, 275], [533, 281], [529, 285], [525, 285], [524, 296], [529, 306], [542, 308], [545, 301], [543, 289], [539, 281], [539, 272], [544, 255], [546, 236], [543, 229]]
53
+ last_frame: 1959
54
+ last_mask: [[538, 229], [535, 275], [532, 284], [524, 289], [524, 295], [528, 306], [542, 308], [545, 303], [545, 298], [539, 283], [539, 272], [544, 255], [546, 234], [545, 230]]
55
+ faucet_0:
56
+ object_class: "faucet"
57
+ first_frame: 1881
58
+ first_mask: [[573, 277], [564, 286], [562, 304], [571, 304], [574, 288], [576, 286], [586, 285], [589, 287], [586, 348], [583, 350], [573, 348], [569, 362], [580, 363], [582, 365], [581, 395], [594, 397], [597, 393], [597, 367], [618, 367], [619, 354], [597, 351], [595, 349], [598, 285], [595, 278], [590, 276]]
59
+ last_frame: 1959
60
+ last_mask: [[574, 277], [566, 283], [561, 302], [562, 304], [570, 305], [575, 287], [586, 285], [589, 287], [587, 346], [585, 350], [573, 348], [569, 361], [583, 365], [581, 394], [584, 396], [594, 396], [596, 394], [596, 367], [598, 365], [618, 367], [620, 357], [618, 353], [595, 350], [598, 300], [597, 282], [590, 276]]
61
+
.tmp_8c602eded707e05a6b8e3d4bdb22dc36/image_odometry_data.json ADDED
The diff for this file is too large to render. See raw diff
 
egg_qa.csv ADDED
@@ -0,0 +1,81 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ query|modality|answer
2
+ Describe the appearance of the most frequently used mug for making coffee at the coffee machine|text|Dark red mug with golden decorative patterns
3
+ How many different faucets was the person seen interacting with?|text|2
4
+ What is the type of drink that the person most frequently drinks when working with the laptop?|text|coffee
5
+ What was the type of drink that the person was drinking with the black mug from 19:50:00 to 20:32:00?|text|water
6
+ Did the person clean the white mug with dish soap or just water on from 15:30:00 to 16:16:00?|text|just water
7
+ What were the types of drink the person was drinking in the office on from 15:30:00 to 16:16:00?|text|coffee and water
8
+ How many faucets did the person used to refill their bottle|text|1
9
+ Where was the phone placed when the person was working on the laptop in the office on from 15:30:00 to 16:16:00?|text|on the table
10
+ Which room was the phone last seen used in?|text|in the coffee room
11
+ How many times was the cabinet opened and closed during the events?|text|7
12
+ How many different tables were the person seen working on?|text|2
13
+ Where did the person bring their laptop to after leaving the office from 19:50:00 to 20:32:00?|text|To the coffee room
14
+ How many different brushes are there in the coffee room?|text|2
15
+ What was the type of drink the person was drinking when they were working in the office from 19:50:00 to 20:32:00|text|coffee and water
16
+ What was the type of drink the person was drinking from the red mug from 19:50:00 to 20:32:00?|text|coffee
17
+ Describe the first mug the person was seen washing in the coffee room|text|Dark blue ceramic mug with white interior
18
+ How did the person use their phone during events from 19:50:00 to 20:32:00?|text|They were checking on it while working in the coffee room, and then put it back into their jacket
19
+ What was the sequence of activities involving two mugs during the evening events from 19:50:00 to 20:32:00? Clearly identify each mug by their color when you describe the sequence.|text|The person cleaned the red mug with detergent and water, then they picked the black mug from the cabinet. They filled the black mug with water from the faucet, and made a coffee with the red mug on the coffee machine. They then occasionally took sips from both cups when they sat down and workk on their laptop in the office. Then they took the two mugs to the coffee room and continue working there and took sips from both of them. They put the black mug in the counter and walked away with the red mug.
20
+ What did the person do last with two mugs from 19:50:00 to 20:32:00? Clearly identify each mug by their color when you describe the action.|text|They put the black mug in the cabinet and walked away with the red mug
21
+ How many different red mugs are seen in the events and describe them?|text|2, one dark red with golden patterns and one red with white interior
22
+ What is the color of the faucet that the person uses to fill the kettle?|text|black
23
+ How many different mugs were seen in the events?|text|5
24
+ What actions did the person perform while working on the laptop in the office from 19:50:00 to 20:32:00?|text|they took sips from 2 mugs
25
+ What actions did the person perform while working on the laptop in the coffee room from 19:50:00 to 20:32:00?|text|they took sips from 2 mugs and occasionally checked their phone
26
+ Was the red ceramic mug with golden pattern ever used to make coffee?|binary|1
27
+ Was the water the person drink from the black mug from 12:00:00 to 13:00:00 boiling?|binary|0
28
+ Was the mouse ever seen placed in the dishwasher by mistake?|binary|0
29
+ Was kettle involved in any events from 19:50:00 to 20:32:00?|binary|0
30
+ Was the person seen drinking from the blue mug from 19:50:00 to 20:32:00?|binary|0
31
+ Was the dishwasher ever used for washing the mugs?|binary|0
32
+ Was the blue mug with white interior placed on the kitchen counter at any point?|binary|1
33
+ From 12:00:00 to 13:00:00, I saw a red mug inside the cabinet. Was that mug washed at some point during the day?|binary|1
34
+ Did the person clean the dark brown mug on from 15:30:00 to 16:16:00 before they left the office?|binary|1
35
+ Did the person put the black mug into the dishwasher from 12:00:00 to 13:00:00?|binary|1
36
+ Did the person use the dishwasher to clean the mugs and dishes on from 15:30:00 to 16:16:00?|binary|0
37
+ Did the person ever drink from the blue mug while working on the laptop?|binary|0
38
+ Was any mug put into the cabinet more than once on from 15:30:00 to 16:16:00?|binary|0
39
+ Was the white mug with the text SICK ever used for drinking coffee made by the coffee machine?|binary|0
40
+ Did the person place the black mug in the cabinet at any point?|binary|1
41
+ Was the red mug with a golden pattern ever put into the dishwasher?|binary|0
42
+ Did the person drink water from the red mug with white interior and place it back on the table?|binary|0
43
+ Was the person seen using both blue mug and black mug at the same time during any event?|binary|0
44
+ Was the white water bottle placed near the kitchen counter at any time?|binary|0
45
+ Was the person seen filling a mug from the electric kettle on from 15:30:00 to 16:16:00?|binary|0
46
+ Was the red mug with golden patterns ever filled with detergent and rinsed?|binary|1
47
+ Was any mug used to take sips from the coffee machine’s drinks?|binary|1
48
+ Did the yellow-handled brush play a role in cleaning any mug?|binary|1
49
+ While using the coffee machine, did the person interact with the kettle at any point?|binary|0
50
+ Was the laptop seen used for purposes other than working in the scene?|binary|0
51
+ Was the faucet seen used for drinking directly rather than filling a mug?|binary|0
52
+ Did the person use the same mug for coffee on multiple occasions?|binary|1
53
+ Did any mugs get rinsed with only water from 19:50:00 to 20:32:00?|binary|0
54
+ When did the person refill the water bottle on from 15:30:00 to 16:16:00?|time_point|2025-08-30 16:14:46
55
+ When is the earliest hour that the cleaning of mugs occur from 19:50:00 to 20:32:00?|time_point|2025-08-30 19:54:04
56
+ What is the earliest hour the person was seen working?|time_point|2025-08-30 12:25:49
57
+ What is the latest hour the person was seen working?|time_point|2025-08-30 20:04:21
58
+ What is the earliest hour the person was seen drinking coffee?|time_point|2025-08-30 16:13:02
59
+ What is the latest hour the person was seen drinking coffee?|time_point|2025-08-30 20:03:42
60
+ When is the last time the person was seen washing the red mug with golden patterns?|time_point|2025-08-30 20:30:46
61
+ When is the first time the person was seen picking a mug from the cabinet?|time_point|2025-08-30 12:16:32
62
+ When is the first time the person was seen working in the office|time_point|2025-08-30 16:13:01
63
+ When is the first time the person was seen drinking water from the faucet inside the office?|time_point|2025-08-30 16:14:45
64
+ Which mug(s) were rinsed with water and detergent at some point from 08:20:00 to 08:28:00?|node|['mug_0']
65
+ I am near the coffee room, could you take me somewhere where I could wash my mug?|node|['faucet_0']
66
+ Which object is the mug the person was drinking water at some point from 12:00:00 to 13:00:00 last stored in on that day?|node|['dishwasher_0']
67
+ Which object is the mug the person was drinking coffee at some point from 12:00:00 to 13:00:00 last stored in on that day?|node|['cabinet_0']
68
+ The person left their phone somewhere at some point between 15:30:00 and 16:16:00, which object did they put it on or inside last?|node|['table_1']
69
+ Can you take me somewhere that I can get a coffee?|node|['coffee_machine_0']
70
+ Where was the black mug stored after it was cleaned with water and detergent at some point from 19:50:00 to 20:32:00?|node|['cabinet_0']
71
+ Which mugs were used at the coffee machine?|node|['mug_2', 'mug_3']
72
+ I found this clean mug, store it where mugs are most frequently stored after being washed.|node|['cabinet_0']
73
+ Which objects were used to wash mugs?|node|['faucet_0', 'brush_0', 'brush_1', 'dish_soap_bottle_0']
74
+ Which brush was involved in cleaning the red mug with golden patterns at some point between 15:30:00 and 16:16:00, if any?|node|['brush_1']
75
+ Which table was the laptop last placed on before the person walked away at some point between 15:30:00 and 16:16:00?|node|['table_1']
76
+ Which faucet was used for filling up the water bottle?|node|['faucet_1']
77
+ Which mug was used most frequently for coffee purposes?|node|['mug_3']
78
+ What mug was cleaned with water and detergent at some point from 19:50:00 to 20:32:00?|node|['mug_3']
79
+ Which mug was filled with water from the faucet at some point from 19:50:00 to 20:32:00?|node|['mug_1']
80
+ Which mug was used for coffee-making at some point from 19:50:00 to 20:32:00?|node|['mug_3']
81
+ The person left something on the office table at some point between 15:30:00 and 16:16:00. What was it?|node|['phone_0']
upload.py ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ from huggingface_hub import HfApi
2
+ api = HfApi()
3
+
4
+
5
+ api.upload_large_folder(folder_path=".", repo_id="phuoc101/EGG", repo_type="dataset")