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  "fetched_at": "2026-10-25T01:44:25Z",
  "source_url": "https://www.kaggle.com/competitions/covid19-predictive-analysis-hackathon/data",
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      "name": "rules",
      "content": "### One account per participant\nYou cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.\n\n### No private sharing outside teams\nPrivately 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.\n\n### Team Mergers\nTeam mergers are allowed and can be performed by the team leader. In order to merge, the combined team must have a total submission count less than or equal to the maximum allowed as of the merge date. The maximum allowed is the number of submissions per day multiplied by the number of days the competition has been running. AMLT Teams are not permitted to enter into a Team merger.\n\n### Team Limits\nThe maximum team size is 5.\n\n### Submission Limits\nYou may submit a maximum of 10 entries per day.\n\nYou may select up to 2 final submissions for judging.\n\nCompetition Timeline\nStart Date: March 19, 2020\n\nMerger Deadline: March 25, 2020\n\nEntry Deadline: March 25, 2020 11:59pm UTC\n\nEnd Date (Final Submission Deadline): March 25, 2020, 11:59pm UTC\n\nC### One account per participant\nYou cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.\n\n### No private sharing outside teams\nPrivately 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.\n\n### Team Mergers\nTeam mergers are allowed and can be performed by the team leader. In order to merge, the combined team must have a total submission count less than or equal to the maximum allowed as of the merge date. The maximum allowed is the number of submissions per day multiplied by the number of days the competition has been running. AMLT Teams are not permitted to enter into a Team merger.\n\n### Team Limits\nThe maximum team size is 5.\n\n### Submission Limits\nYou may submit a maximum of 10 entries per day.\n\nYou may select up to 2 final submissions for judging.\n\n**Competition Timeline**\n\nApril 24, 2020  - Start date\nMay 8, 2020 (11:59pm UTC)  - Entry deadline. You must accept the rules before this date in order to participate.\nMay 8, 2020 (11:59pm UTC) - Team Merger deadline. This is the last day participants may join or merge teams.\nMay 8, 2020 (11:59pm UTC) - Final submission deadline.\n\n",
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      "name": "data-description",
      "content": "COVID-19 Hackathon is finally here! \nIn this hackathon, you will forecast future COVID-19 cases and fatalities in different regions.\nDisclaimer: This hackathon is conducted just to help the medical professionals and governments in their efforts on countering the pandemic. There's no way we want to trivialize this crisis.\n\n### Files\ntrain.csv - the training data up to Mar 18, 2020.\ntest.csv - the dates to forecast; there is a week of overlap with the training data for the initial public leaderboard. The leaderboard will be updated again when the submissions are done, based on the last 28 days of predictions. Note that the submissions should include cumulative predictions.\n\n### Source\nThe eval data is originated from World Health Organization.",
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      "name": "Description",
      "content": "### General Information\n\nThe COVID-19 is a hot topic around the worldwide.  COVID-19 (previously known as 2019 Novel Coronavirus, or 2019-nCoV), is a new respiratory virus first identified in Wuhan, Hubei Province, China. This competition offers you the task of predicting COVID-19 spread. This task is based on various regions around the world. You need to estimate the spread of the virus in these areas.\n\n\n### Task\n\n**- According to the given dataset, find the time-dependent curve of the countries.**\n\n**- According to the given dataset, find the predictions.**\n\n**-Evaulate which factors affect the spread of Covid-19.**\n\n**-Provide the information of which patients (according to health history) will be affected by Covid-19 more than others.**\n\n**- Which populations are at risk of contracting COVİD-19 more than other countries?**\n\n**- Which populations have contracted COVID-19 and require ventilators?**\n\n\n\n### Dataset\n\n\n\n### Sponsors\n\n- Global AI Hub (https://globalaihub.com/)\n\n- AI Business School (https://aibusinessschool.com/)\n",
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      "name": "Evaluation",
      "content": "### **Public and Private Leaderboard**\nTo have a public leaderboard for this forecasting task, we will be using data from 7 days before to 7 days after competition launch. Only use data on or prior to 2020-03-11 for predictions on the public leaderboard period. Use up to and including the most recent data for predictions on the private leaderboard period.\n\nPublic Leaderboard Period - 2020-03-12 - 2020-03-25\nPrivate Leaderboard Period - 2020-03-26 - 2020-04-23\nEvaluation\nSubmissions are evaluated using the column-wise root mean squared logarithmic error.\n\nThe RMSLE for a single column calculated as\n\n-----Formula-----\n\nwhere:\n\nn is the total number of observations\npi is your prediction\nai is the actual value\nlog(x) is the natural logarithm of x\nThe final score is the mean of the RMSLE over all columns (in this case, 2).\n\n### **Submission File**\nWe understand this is a serious situation, and in no way want to trivialize the human impact this crisis is causing by predicting fatalities. Our goal is to provide better methods for estimates that can assist medical and governmental institutions to prepare and adjust as pandemics unfold.\n\nFor each ForecastId in the test set, you'll predict the cumulative COVID-19 cases and fatalities to date. The file should contain a header and have the following format:\n\nForecastId,ConfirmedCases,Fatalities\n1,10,0\n2,10,0\n3,10,0\netc.\nYou will get the ForecastId for the corresponding date and location from the test.csv file.",
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