{
  "fetched_at": "2026-10-20T03:08:19Z",
  "source_url": "https://www.kaggle.com/competitions/elan-deepn/data",
  "pages": [
    {
      "name": "data-description",
      "content": "Dataset Information: Training Data consist of following information about many different tweets, and is stored in Tabular data. Following are features describing the tweet:\n\n1) Identity : a number assigned to each tweet\n\n2) Text : Main body of the tweet.\n\n3) Header : title/Header of tweet\n\n4) Type_of_tweet : [ 1 if is from source tweet, 0 is from branch tweet of source tweet ]\n\n5) Screen_and_username : Displayed name of the account holder, who tweeted.\n\n6) Num_followers : number of followers of the account holder.\n\n7) Num_friends : number of friends of the account holder.\n\n8) Num_retweets : number of retweets of the tweet involved.\n\n9) tweet_language : language of tweet involved\n\n10) rumour_identification : [1 if it is rumour, 0 if not a rumour] (Needed to be predicted for Test_Data.csv)\n",
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      "name": "Description",
      "content": "**Introduction:**\nElan & ηvision 2022, IIT Hyderabad is organizing the “DeepN”. This is an event which tests deep learning and it’s aspects. So be ready to make your weights and biases to take the minimum cost to assert your grip in the Deep Learning Field.\n\n**Judging Criteria:**\nThe first two submissions satisfying the prerequisites (which will be\nmentioned during the contest) will get prizes.\nIf there is a clash between 2 submissions, an individual contestant is\ngiven more preference than a group of contestants\nIn case of a further clash between submissions, the participant who\nsubmits first gets preference.\nDecisions of the organizers will be final and binding. No claim will be\nentertained against the announced results\n\n**Problem Statement**\nRumour Identification on Tweets\n\nYou are one of the researchers of OpenAI and are trying to uncover the pattern in false information (Rumour) and it's spread through social networking platforms like Twitter.\n",
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    {
      "name": "Evaluation",
      "content": "The evaluation metric for this competition is Mean F1-Score.",
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    {
      "name": "rules",
      "content": "**EVENT RULES:**\n- Participants should not take the help of the internet throughout this event. If done so, disqualification is taken with immediate effect.\n- Organizers of the event are in the state of decision in case of any discrepancies and their decision is the final and binding\n",
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