{
  "id": 88205,
  "title": "Big Data - Managing The Size",
  "url": "/competitions/inaturalist-2019-fgvc6/discussion/88205",
  "author_name": "",
  "post_date": "2019-04-06T19:35:50.916548700Z",
  "votes": null,
  "comment_count": 4,
  "views": 0,
  "content": "<p>This is a pretty big data set.</p>\n\n<p>What techniques are you using to manage the size? It is taking me a long time just to download it.</p>",
  "messages": [
    {
      "id": "508792",
      "postDate": "04/06/2019 19:35:50",
      "content": "<p>This is a pretty big data set.</p>\n\n<p>What techniques are you using to manage the size? It is taking me a long time just to download it.</p>",
      "rawMarkdown": "This is a pretty big data set.\n\nWhat techniques are you using to manage the size? It is taking me a long time just to download it.",
      "votes": null
    },
    {
      "id": "508850",
      "postDate": "04/06/2019 22:00:23",
      "content": "<p>Try doing a kernel than you don't have to download it. </p>",
      "rawMarkdown": "Try doing a kernel than you don't have to download it.",
      "votes": null
    },
    {
      "id": "515589",
      "postDate": "04/12/2019 19:51:44",
      "content": "<p>Thanks <a href=\"/giolomia\">@giolomia</a> </p>",
      "rawMarkdown": "Thanks @giolomia",
      "votes": null
    },
    {
      "id": "525917",
      "postDate": "05/02/2019 02:24:28",
      "content": "<p><a href=\"/giolomia\">@giolomia</a>  -  I am writing my first kernel. The dataset has tar file of images , how do I get access to the untarred images . Sorry for the newbie question .</p>",
      "rawMarkdown": "giolomia  -  I am writing my first kernel. The dataset has tar file of images , how do I get access to the untarred images . Sorry for the newbie question .",
      "votes": null
    },
    {
      "id": "527977",
      "postDate": "05/06/2019 18:31:02",
      "content": "<p>have a look at this example:\n<a href=\"https://www.kaggle.com/macaodha/basic-inat2019-data-exploration\">https://www.kaggle.com/macaodha/basic-inat2019-data-exploration</a></p>",
      "rawMarkdown": "have a look at this example:\nhttps://www.kaggle.com/macaodha/basic-inat2019-data-exploration",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 508850,
      "author_name": "giolomia",
      "author_url": "",
      "post_date": "04/06/2019 22:00:23",
      "content": "<p>Try doing a kernel than you don't have to download it. </p>",
      "votes": null,
      "replies": [
        {
          "id": 525917,
          "author_name": "djbehera",
          "author_url": "",
          "post_date": "05/02/2019 02:24:28",
          "content": "<p><a href=\"/giolomia\">@giolomia</a>  -  I am writing my first kernel. The dataset has tar file of images , how do I get access to the untarred images . Sorry for the newbie question .</p>",
          "votes": null,
          "replies": []
        },
        {
          "id": 527977,
          "author_name": "macaodha",
          "author_url": "",
          "post_date": "05/06/2019 18:31:02",
          "content": "<p>have a look at this example:\n<a href=\"https://www.kaggle.com/macaodha/basic-inat2019-data-exploration\">https://www.kaggle.com/macaodha/basic-inat2019-data-exploration</a></p>",
          "votes": null,
          "replies": []
        }
      ]
    },
    {
      "id": 515589,
      "author_name": "lowecoryr",
      "author_url": "",
      "post_date": "04/12/2019 19:51:44",
      "content": "<p>Thanks <a href=\"/giolomia\">@giolomia</a> </p>",
      "votes": null,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "508792": "This is a pretty big data set.\n\nWhat techniques are you using to manage the size? It is taking me a long time just to download it.",
    "508850": "Try doing a kernel than you don't have to download it.",
    "515589": "Thanks @giolomia",
    "525917": "giolomia  -  I am writing my first kernel. The dataset has tar file of images , how do I get access to the untarred images . Sorry for the newbie question .",
    "527977": "have a look at this example:\nhttps://www.kaggle.com/macaodha/basic-inat2019-data-exploration"
  },
  "source": "meta"
}