{
  "id": 131675,
  "title": "TensorFlow 2.0 Prize Winners!",
  "url": "/competitions/tensorflow2-question-answering/discussion/131675",
  "author_name": "",
  "post_date": "2020-02-21T00:58:57.460897800Z",
  "votes": 6,
  "comment_count": 4,
  "views": 0,
  "content": "<p>Congratulations to our TensorFlow 2.0 Prize Winners! </p>\n\n<p>The <a href=\"https://www.kaggle.com/c/tensorflow2-question-answering/overview/prizes\">Prizes Page</a> specified a special set of prizes for winners who exclusively used TF2.0 in their winning models. Our official winners (by team name) are:</p>\n\n<p><strong>1st Place</strong>: <a href=\"https://www.kaggle.com/c/tensorflow2-question-answering/discussion/127333\">DeepThought</a> \n     - <a href=\"https://tfhub.dev/see--\">TF-Hub SavedModel</a>\n     - Private LB Score: 0.71684 (2nd in overall leaderboard)</p>\n\n<p><strong>2nd Place</strong>: <a href=\"https://www.kaggle.com/c/tensorflow2-question-answering/discussion/127521\">prvi</a>\n     - <a href=\"https://tfhub.dev/prvi\">TF-Hub SavedModel</a>\n     - Private LB Score: 0.69474 (6th in overall leaderboard)</p>\n\n<p><strong>3rd Place</strong>: <a href=\"https://www.kaggle.com/c/tensorflow2-question-answering/discussion/128278\">Anastasia Karpovich</a>\n     - <a href=\"https://tfhub.dev/nascarr\">TF-Hub SavedModel</a>\n     - Private LB Score: 0.68878 (9th in overall leaderboard)</p>",
  "messages": [
    {
      "id": "752386",
      "postDate": "02/21/2020 00:58:57",
      "content": "<p>Congratulations to our TensorFlow 2.0 Prize Winners! </p>\n\n<p>The <a href=\"https://www.kaggle.com/c/tensorflow2-question-answering/overview/prizes\">Prizes Page</a> specified a special set of prizes for winners who exclusively used TF2.0 in their winning models. Our official winners (by team name) are:</p>\n\n<p><strong>1st Place</strong>: <a href=\"https://www.kaggle.com/c/tensorflow2-question-answering/discussion/127333\">DeepThought</a> \n     - <a href=\"https://tfhub.dev/see--\">TF-Hub SavedModel</a>\n     - Private LB Score: 0.71684 (2nd in overall leaderboard)</p>\n\n<p><strong>2nd Place</strong>: <a href=\"https://www.kaggle.com/c/tensorflow2-question-answering/discussion/127521\">prvi</a>\n     - <a href=\"https://tfhub.dev/prvi\">TF-Hub SavedModel</a>\n     - Private LB Score: 0.69474 (6th in overall leaderboard)</p>\n\n<p><strong>3rd Place</strong>: <a href=\"https://www.kaggle.com/c/tensorflow2-question-answering/discussion/128278\">Anastasia Karpovich</a>\n     - <a href=\"https://tfhub.dev/nascarr\">TF-Hub SavedModel</a>\n     - Private LB Score: 0.68878 (9th in overall leaderboard)</p>",
      "rawMarkdown": "Congratulations to our TensorFlow 2.0 Prize Winners! \n\nThe [Prizes Page](https://www.kaggle.com/c/tensorflow2-question-answering/overview/prizes) specified a special set of prizes for winners who exclusively used TF2.0 in their winning models. Our official winners (by team name) are:\n\n**1st Place**: [DeepThought](https://www.kaggle.com/c/tensorflow2-question-answering/discussion/127333) \n     - [TF-Hub SavedModel](https://tfhub.dev/see--)\n     - Private LB Score: 0.71684 (2nd in overall leaderboard)\n\n**2nd Place**: [prvi](https://www.kaggle.com/c/tensorflow2-question-answering/discussion/127521)\n     - [TF-Hub SavedModel](https://tfhub.dev/prvi)\n     - Private LB Score: 0.69474 (6th in overall leaderboard)\n\n**3rd Place**: [Anastasia Karpovich](https://www.kaggle.com/c/tensorflow2-question-answering/discussion/128278)\n     - [TF-Hub SavedModel](https://tfhub.dev/nascarr)\n     - Private LB Score: 0.68878 (9th in overall leaderboard)",
      "votes": null
    },
    {
      "id": "755048",
      "postDate": "02/24/2020 11:34:26",
      "content": "<p>Congrats to the winners👍 </p>",
      "rawMarkdown": "Congrats to the winners👍",
      "votes": null
    },
    {
      "id": "758512",
      "postDate": "02/27/2020 21:08:34",
      "content": "<p>Congrats..</p>",
      "rawMarkdown": "Congrats..",
      "votes": null
    },
    {
      "id": "764918",
      "postDate": "03/06/2020 04:37:32",
      "content": "<p>BIG CONG</p>",
      "rawMarkdown": "BIG CONG",
      "votes": null
    },
    {
      "id": "775588",
      "postDate": "03/16/2020 20:48:44",
      "content": "<p>👍 👍 </p>",
      "rawMarkdown": "👍 👍",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 755048,
      "author_name": "aravindhkv123",
      "author_url": "",
      "post_date": "02/24/2020 11:34:26",
      "content": "<p>Congrats to the winners👍 </p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 758512,
      "author_name": "mahmudds",
      "author_url": "",
      "post_date": "02/27/2020 21:08:34",
      "content": "<p>Congrats..</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 764918,
      "author_name": "wenbbing",
      "author_url": "",
      "post_date": "03/06/2020 04:37:32",
      "content": "<p>BIG CONG</p>",
      "votes": null,
      "replies": []
    },
    {
      "id": 775588,
      "author_name": "",
      "author_url": "",
      "post_date": "03/16/2020 20:48:44",
      "content": "<p>👍 👍 </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "752386": "Congratulations to our TensorFlow 2.0 Prize Winners! \n\nThe [Prizes Page](https://www.kaggle.com/c/tensorflow2-question-answering/overview/prizes) specified a special set of prizes for winners who exclusively used TF2.0 in their winning models. Our official winners (by team name) are:\n\n**1st Place**: [DeepThought](https://www.kaggle.com/c/tensorflow2-question-answering/discussion/127333) \n     - [TF-Hub SavedModel](https://tfhub.dev/see--)\n     - Private LB Score: 0.71684 (2nd in overall leaderboard)\n\n**2nd Place**: [prvi](https://www.kaggle.com/c/tensorflow2-question-answering/discussion/127521)\n     - [TF-Hub SavedModel](https://tfhub.dev/prvi)\n     - Private LB Score: 0.69474 (6th in overall leaderboard)\n\n**3rd Place**: [Anastasia Karpovich](https://www.kaggle.com/c/tensorflow2-question-answering/discussion/128278)\n     - [TF-Hub SavedModel](https://tfhub.dev/nascarr)\n     - Private LB Score: 0.68878 (9th in overall leaderboard)",
    "755048": "Congrats to the winners👍",
    "758512": "Congrats..",
    "764918": "BIG CONG",
    "775588": "👍 👍"
  },
  "source": "meta"
}