{
  "id": 143344,
  "title": "Unable to download dataset using api",
  "url": "/competitions/airbus-ship-detection/discussion/143344",
  "author_name": "Shoumik Dey",
  "post_date": "2020-04-14T18:52:29.865000",
  "votes": 3,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Since the dataset is big (29 GB), I am trying to directly download the dataset into the cloud using the kaggle API, it downloads each image at a time and not the whole dataset as a zip, hence I am getting a 492 - too many requests error. \nThe 'Download All' button won't do the job for me as I cannot download it on the local computer, and then reupload it to the cloud.\nCan anybody help ?\nThanks !</p>",
  "messages": [
    {
      "id": 807634,
      "postDate": "2020-04-14T18:52:29.867Z",
      "content": "<p>Since the dataset is big (29 GB), I am trying to directly download the dataset into the cloud using the kaggle API, it downloads each image at a time and not the whole dataset as a zip, hence I am getting a 492 - too many requests error. \nThe 'Download All' button won't do the job for me as I cannot download it on the local computer, and then reupload it to the cloud.\nCan anybody help ?\nThanks !</p>",
      "rawMarkdown": "Since the dataset is big (29 GB), I am trying to directly download the dataset into the cloud using the kaggle API, it downloads each image at a time and not the whole dataset as a zip, hence I am getting a 492 - too many requests error. \nThe 'Download All' button won't do the job for me as I cannot download it on the local computer, and then reupload it to the cloud.\nCan anybody help ?\nThanks !",
      "votes": 3
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "807634": "Since the dataset is big (29 GB), I am trying to directly download the dataset into the cloud using the kaggle API, it downloads each image at a time and not the whole dataset as a zip, hence I am getting a 492 - too many requests error. \nThe 'Download All' button won't do the job for me as I cannot download it on the local computer, and then reupload it to the cloud.\nCan anybody help ?\nThanks !"
  }
}