{
  "fetched_at": "2026-10-19T19:06:07Z",
  "source_url": "https://www.kaggle.com/competitions/11785-s19-hw2p2-verification2/data",
  "pages": [
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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    {
      "name": "data-description",
      "content": "You can download the data from Box Link: https://cmu.box.com/s/daslpynscr6xw9lp89eek8l3326dv8ii\n\nThe utilities can be found here: https://github.com/cmudeeplearning11785/sp19hw2p2",
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    {
      "name": "Description",
      "content": "<h2> Face Verification</h2>\n\nAn input to your system is a trial, that is, a pair of face images that may or may not belong to the same person.  Given a trial,  your goal is to output a numeric score that quantifies how similar the images of the two people appear to be. On some scale, a higher score will indicate higher confidence that the two images belong to one and the same person in fact. \n\n\n",
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    {
      "name": "Evaluation",
      "content": "<p>The evaluation metric for this competition is <a href=\"https://www.kaggle.com/learn-forum/53782\"> AUC score </a>. \n\n<h2> Submission Format </h2>\n\nYou will submit a csv file created form the trials_test provided to you. \nThe first column will be the same as the one in the trials_test and the second column will be the similarity score you compute. ",
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}