{
  "total": 32,
  "topics": [
    {
      "id": 272023,
      "title": "Welcome to the Wikipedia Image/Caption Matching Competition!",
      "comment_count": 16,
      "views": 0,
      "votes": 16
    },
    {
      "id": 272501,
      "title": "IMPORTANT: Updated Dataset",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 272016,
      "title": "Looking for a Team Megathread",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 272015,
      "title": "New to Kaggle or Machine Learning? Come Say Hi!",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 287718,
      "title": "Why such less participants are here ?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 291554,
      "title": "Announcement on Public Notebook Sharing",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 287955,
      "title": "Test images does not downloaded",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 288192,
      "title": "Memory is not available",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 286451,
      "title": "Major inconvenience using binary classification for this project: Making submission itself seems too hard",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 285177,
      "title": "[Trainable] Pytorch Starter",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 284720,
      "title": "Easy-to-Use Dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 283916,
      "title": "[tl;dr summary list] Research Papers summary about Text & Image matching",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 283917,
      "title": "Shopee [simillar-ish competition] - Solutions Mega Thread",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 283854,
      "title": " I Implemented Nfnets-keras from scratch and got silver on Shopee - Try them out!",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 277601,
      "title": "Matching multilingual BERT embeddings with image embeddings",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 284100,
      "title": "use external datas for pre-trained model",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 273892,
      "title": "IMPORTANT! A large published dataset of Wikipedia image files and features",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 273309,
      "title": "[Compilation] Good starter notebooks",
      "comment_count": 3,
      "views": 0,
      "votes": 17
    },
    {
      "id": 272204,
      "title": "Handling a huge size of image data.  Are you ready Newbies?  ",
      "comment_count": 6,
      "views": 0,
      "votes": 14
    },
    {
      "id": 275237,
      "title": "Reading tsv file gives error in Kaggle ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 272223,
      "title": "Can we generate captions and then try to match them to the wiki description?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274225,
      "title": "Have anyone think about generate images from text?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 272172,
      "title": " Image Captioning Research Papers with code",
      "comment_count": 1,
      "views": 0,
      "votes": 14
    },
    {
      "id": 273681,
      "title": "Basics-Level Discussions for new-to-kaggle people",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 272846,
      "title": "Possible error with test embeddings",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 273083,
      "title": "Love the diversity 👍",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 272720,
      "title": "RapidFuzz and FuzzyWuzzy.",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 272091,
      "title": "Some similar competitions in Kaggle",
      "comment_count": 4,
      "views": 0,
      "votes": 13
    },
    {
      "id": 272531,
      "title": "Methods and Formats: Rapids, Dask, Datatable, Feather, HDF5, Jay, Parquet, Pickle",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 272294,
      "title": "Why does this result in 0.0000 score? ",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 272334,
      "title": "Train TSV files in Feather format",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 272105,
      "title": "You’ll build a model that automatically retrieves the text closest to an image. ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    }
  ],
  "errors": []
}