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  "fetched_at": "2026-10-19T11:27:58Z",
  "source_url": "https://www.kaggle.com/competitions/AI5112020-quora/data",
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    {
      "name": "data-description",
      "content": "# General Description\n\nIn this competition you will be predicting whether a question asked on Quora is sincere or not.\n\nAn insincere question is defined as a question intended to make a statement rather than look for helpful answers. Some characteristics that can signify that a question is insincere:\n\n   * Has a non-neutral tone\n        * Has an exaggerated tone to underscore a point about a group of people\n        * Is rhetorical and meant to imply a statement about a group of people\n   * Is disparaging or inflammatory\n        * Suggests a discriminatory idea against a protected class of people, or seeks confirmation of a stereotype\n        * Makes disparaging attacks/insults against a specific person or group of people\n        * Based on an outlandish premise about a group of people\n        * Disparages against a characteristic that is not fixable and not measurable \n   * Isn't grounded in reality\n        * Based on false information, or contains absurd assumptions\n   * Uses sexual content (incest, bestiality, pedophilia) for shock value, and not to seek genuine answers\n\nThe training data includes the question that was asked, and whether it was identified as insincere (target = 1). The ground-truth labels contain some amount of noise: they are not guaranteed to be perfect.\n\nNote that the distribution of questions in the dataset should not be taken to be representative of the distribution of questions asked on Quora. This is, in part, because of the combination of sampling procedures and sanitization measures that have been applied to the final dataset.\n\n# File descriptions\n\n   *  train.csv - the training set\n   * test.csv - the test set\n   * sample_submission.csv - A sample submission in the correct format\n   * embeddings/ - (see below)\n\n# Data fields\n\n    * qid - unique question identifier\n    * question_text - Quora question text\n    * target - a question labeled \"insincere\" has a value of 1, otherwise 0\n",
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      "name": "Description",
      "content": "An existential problem for any major website today is how to handle toxic and divisive content. Quora wants to tackle this problem head-on to keep their platform a place where users can feel safe sharing their knowledge with the world.\n\nQuora is a platform that empowers people to learn from each other. On Quora, people can ask questions and connect with others who contribute unique insights and quality answers. A key challenge is to weed out insincere questions -- those founded upon false premises, or that intend to make a statement rather than look for helpful answers.<br>\n\nIn this competition, Kagglers will develop models that identify and flag insincere questions. To date, Quora has employed both machine learning and manual review to address this problem. With your help, they can develop more scalable methods to detect toxic and misleading content.\n\nHere's your chance to combat online trolls at scale. Help Quora uphold their policy of “Be Nice, Be Respectful” and continue to be a place for sharing and growing the world’s knowledge.\n\n",
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      "name": "Evaluation",
      "content": "Submissions are evaluated on  [F1 Score](https://en.wikipedia.org/wiki/F1_score) between the predicted and the observed targets.\n\n# Submission File\n\nFor each qid in the test set, you must predict whether the corresponding question_text is insincere (1) or not (0). Predictions should only be the integers 0 or 1. The file should contain a header and have the following format:\n\n> qid,prediction\n> 0000163e3ea7c7a74cd7,0\n> 00002bd4fb5d505b9161,0\n> 00007756b4a147d2b0b3,0\n> ...\n\n",
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    {
      "name": "rules",
      "content": "<h2>One account per participant</h2>\n<p>You cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.</p>\n<h2>No private sharing outside teams</h2>\n<p>Privately sharing code or data outside of teams is not permitted. It's okay to share code if made available to all participants on the forums. </p>\n<h2>Team Mergers</h2>\n<p>Team mergers are allowed in this competition and deadline for team mergers is 23rd Sept.</p>\n<h2>Team Limit</h2>\n<p>Maximum Team Size is 3.</p>\n<h2>General Guidelines</h2>\n<ul>\n<li>Use of any pretrained model is not allowed.</li>\n<li>Any use of deep learning approaches is not allowed. Please stick to classical approaches.</li>\n<li>No use of External Data is allowed, only the data provided with the competition has to be used.</li>\n<li>You are allowed to use pretrained Word Embeddings for this challenge.</p>\n</ul>\n<h2>Submission Limit</h2>\n<p>You may submit a maximum of 5 entries per day till 10th Oct and 2 submissions after that.<br>\nYou may select up to 2 final submissions for judging.</p>\n<h2>Competition Deadline</h2>\n<p>End Date: 18/12/2020 11:59 PM IST</p>",
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