{
  "id": 544417,
  "title": "Recap of Competition - Congratulations to the Winners!",
  "url": "/competitions/ariel-data-challenge-2024/discussion/544417",
  "author_name": "Elizabeth Park",
  "post_date": "2024-11-05T03:46:34.230000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Hi Kagglers,</p>\n<p>We’re happy to announce the conclusion of the NeurIPS - Ariel Data Challenge 2024 competition. Thank you everyone for your participation!</p>\n<p>This competition ended with 6,951 registrations and 1,414 participants on 1,151 teams. We had 23,024 submissions from 75 countries. For 213 users (including 50 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!  </p>\n<p>The top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.</p>\n<p>We've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact <a href=\"https://www.kaggle.com/compliance\" target=\"_blank\">compliance</a>. Please fill in all the fields honestly.</p>\n<p>We highly encourage you to post a solution write-up about your approach and solution in the forums (see <a href=\"https://www.kaggle.com/discussions/product-feedback/373153\" target=\"_blank\">instructions</a>). You may also refer to <a href=\"https://www.kaggle.com/solution-write-up-documentation\" target=\"_blank\">Kaggle Solution Write-Up Documentation</a> for guidance. You are  also encouraged to <a href=\"https://www.kaggle.com/docs/models#publishing-a-model\" target=\"_blank\">publish your models on Kaggle Models</a>!</p>\n<p>Thanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!</p>\n<p>Happy Modeling!<br>\nKaggle Team</p>",
  "messages": [
    {
      "id": 3036913,
      "postDate": "2024-11-05T03:46:34.230Z",
      "content": "<p>Hi Kagglers,</p>\n<p>We’re happy to announce the conclusion of the NeurIPS - Ariel Data Challenge 2024 competition. Thank you everyone for your participation!</p>\n<p>This competition ended with 6,951 registrations and 1,414 participants on 1,151 teams. We had 23,024 submissions from 75 countries. For 213 users (including 50 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!  </p>\n<p>The top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.</p>\n<p>We've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact <a href=\"https://www.kaggle.com/compliance\" target=\"_blank\">compliance</a>. Please fill in all the fields honestly.</p>\n<p>We highly encourage you to post a solution write-up about your approach and solution in the forums (see <a href=\"https://www.kaggle.com/discussions/product-feedback/373153\" target=\"_blank\">instructions</a>). You may also refer to <a href=\"https://www.kaggle.com/solution-write-up-documentation\" target=\"_blank\">Kaggle Solution Write-Up Documentation</a> for guidance. You are  also encouraged to <a href=\"https://www.kaggle.com/docs/models#publishing-a-model\" target=\"_blank\">publish your models on Kaggle Models</a>!</p>\n<p>Thanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!</p>\n<p>Happy Modeling!<br>\nKaggle Team</p>",
      "rawMarkdown": "Hi Kagglers,\n\nWe’re happy to announce the conclusion of the NeurIPS - Ariel Data Challenge 2024 competition. Thank you everyone for your participation!\n\nThis competition ended with 6,951 registrations and 1,414 participants on 1,151 teams. We had 23,024 submissions from 75 countries. For 213 users (including 50 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!  \n\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.\n\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact [compliance](https://www.kaggle.com/compliance). Please fill in all the fields honestly.\n\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see [instructions](https://www.kaggle.com/discussions/product-feedback/373153)). You may also refer to [Kaggle Solution Write-Up Documentation](https://www.kaggle.com/solution-write-up-documentation) for guidance. You are  also encouraged to [publish your models on Kaggle Models](https://www.kaggle.com/docs/models#publishing-a-model)!\n\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!\n\nHappy Modeling!\nKaggle Team\n",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "3036913": "Hi Kagglers,\n\nWe’re happy to announce the conclusion of the NeurIPS - Ariel Data Challenge 2024 competition. Thank you everyone for your participation!\n\nThis competition ended with 6,951 registrations and 1,414 participants on 1,151 teams. We had 23,024 submissions from 75 countries. For 213 users (including 50 in the top 100!), this was their first competition. Thank you all for your hard work in this competition and congratulations to our winners and to those who gained a new ranking!  \n\nThe top potential winning teams will be contacted via email for the next steps. We look forward to learning more about their winning solutions.\n\nWe've cleaned the leaderboard and disqualified some teams that have violated the rules. If you think you were removed by mistake, or believe you have evidence that suggests another team cheated, please contact [compliance](https://www.kaggle.com/compliance). Please fill in all the fields honestly.\n\nWe highly encourage you to post a solution write-up about your approach and solution in the forums (see [instructions](https://www.kaggle.com/discussions/product-feedback/373153)). You may also refer to [Kaggle Solution Write-Up Documentation](https://www.kaggle.com/solution-write-up-documentation) for guidance. You are  also encouraged to [publish your models on Kaggle Models](https://www.kaggle.com/docs/models#publishing-a-model)!\n\nThanks for continuing to make Kaggle a great place to learn, practice, and test data science techniques!\n\nHappy Modeling!\nKaggle Team\n"
  }
}