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    {
      "id": 314422,
      "title": "New to Kaggle or Machine Learning? Check this out ~",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 314475,
      "title": "Res-Net, U-Net, CNN. Image Segmentation.",
      "comment_count": 9,
      "views": 0,
      "votes": 12
    },
    {
      "id": 314885,
      "title": "No medals, points, prizes for this serious issue?",
      "comment_count": 8,
      "views": 0,
      "votes": 26
    },
    {
      "id": 328281,
      "title": "1st place solution - New augmentation method + 5 model ensemble",
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      "views": 0,
      "votes": 30
    },
    {
      "id": 328237,
      "title": "Public/Private 3rd Solution",
      "comment_count": 8,
      "views": 0,
      "votes": 16
    },
    {
      "id": 328345,
      "title": "2nd solution",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 327993,
      "title": "Can Kaggle give credit to such competitions?",
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      "views": 0,
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    },
    {
      "id": 326713,
      "title": "Submission Blocked",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 324699,
      "title": "Duplicate images in dataset?",
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      "votes": 5
    },
    {
      "id": 321484,
      "title": "Separation of Room Types",
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    },
    {
      "id": 324704,
      "title": "\"Submission scoring error\": use \"image_id\", not \"image\"",
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      "views": 0,
      "votes": 1
    },
    {
      "id": 314862,
      "title": "Starter notebook - classification",
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      "votes": 7
    },
    {
      "id": 313547,
      "title": "How do you use the masks provided in the dataset?",
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    },
    {
      "id": 322383,
      "title": "Submitted notebook can't access any test images except abc.jpg",
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      "votes": 1
    },
    {
      "id": 317922,
      "title": "Use of External Data Sets",
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    },
    {
      "id": 320132,
      "title": "Submission title",
      "comment_count": 0,
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      "votes": 0
    },
    {
      "id": 319203,
      "title": "Source for Hotels-50K",
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      "views": 0,
      "votes": 4
    },
    {
      "id": 318260,
      "title": "A truly spectacularly failed approach",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 318679,
      "title": "How to use so many masks",
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      "views": 0,
      "votes": null
    },
    {
      "id": 318327,
      "title": "Similar Past Kaggle Competitions",
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      "views": 0,
      "votes": 2
    },
    {
      "id": 317630,
      "title": "How do you approach the gap in scoring performance?",
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      "views": 0,
      "votes": 2
    },
    {
      "id": 316799,
      "title": "Has past versions of this competition been useful for combatting human trafficking?",
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      "votes": 16
    },
    {
      "id": 317540,
      "title": "Score of 0.175",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 316410,
      "title": "What are your augmentations, and how fast?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 314661,
      "title": "How to build the submission.csv with secret dataset",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 314028,
      "title": "The Mask R-CNN Method. Is it supported by TensorFlow 2.0?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 313946,
      "title": "All masks have Retangular/Square shape?  Kaggle Segmentation Masks competitions.",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 313362,
      "title": "✨ Previous Human Trafficking Resource ✨",
      "comment_count": 1,
      "views": 0,
      "votes": 16
    },
    {
      "id": 313397,
      "title": "Looking for a Team Megathread",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    }
  ],
  "errors": []
}