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  "fetched_at": "2026-10-19T14:33:58Z",
  "source_url": "https://www.kaggle.com/competitions/fcis-asu-autism-disorder-classification/data",
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    {
      "name": "data-description",
      "content": "<h1> Dataset description </h1>\n<p>\nThe dataset is organized into 2 folders (train and test) and contains subfolders for the train category (autistic children and non-autistic children). There are 2,536 children faces training images, 1,268 autistic children faces and 1,268 non-autistic children faces.\nThe testing set contains 400 images for children and you have to classify each of them.\n\n<h2>Files description</h2>\n<ul>\n<li><strong>train.rar</strong> - the training set</li>\n<li><strong>test.rar</strong> - the test set</li>\n<li><strong>Submit.csv</strong> - a sample submission file in the correct format</li>\n<li><strong>Names.csv</strong> this file contains the IDs of the two classes</li>\n</ul>\n<h2>Data fields</h2>\n<ul>\n<li><strong>Image</strong> - the name of child face image </li>\n<li><strong>Label</strong> - the predicted class</li>\n</ul>",
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    {
      "name": "Description",
      "content": "<h1> Introduction </h1>\nWelcome to the competition. This competition is for CS students in Neural Network and Deep Learning course at FCIS. The goal of the competition is to build deep learning models that can diagnose autism disorder in the children from their face. Let's help the community with useful things!\n\n<h1> Medical Background </h1>\n<p>\nChildren with autism have a broader upper face, including wider eyes. Children with autism have a shorter middle region of the face, including the cheeks and nose. Children with autism have a broader or wider mouth and philtrum -- the divot below the nose, above the top lip.\n</p>\n\n",
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      "name": "Evaluation",
      "content": "<p>You have to submit a file in CSV format named as 'submit.csv'.</p>\n<hr>\n<p>The evaluation metric for this competition is the overall accuracy </p><p> \n\n</p><h2>Submission Format</h2>\n<p><strong> The file contains 2 column, the first column is ID, which is the name of the test image. The second column is label, which is your predicted label for the image </strong> </p>\n<p>The file should contain a header and have the following format:</p>\n<pre>id,label<br>1.jpg,1<br></pre>",
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      "name": "rules",
      "content": "   \n    <h3>The name of the team on Kaggle must be your team ID</h3>\n    <h3>One account per team participant</h3>\n    <p>You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.</p>\n    <h3>No private sharing outside teams</h3>\n    <p>\n        Privately sharing code or data outside of teams is not permitted.\n    </p>\n   <h3> It is **NOT ALLOWED** to use Keras.Applications </h3>\n    <h3>Submission Limits</h3>\n    <p>You may submit a maximum of 3 entries per day.</p>\n    <p>You may select up to 2 final submissions for judging.</p>\n    <h3>Competition Timeline</h3>\n    <p>Start Date: <strong>22/5/2021</strong></p>\n    <p>End Date: <strong> One day before the practical exam </strong></p>\n\t",
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