在 Google Colab 中使用 Kaggle 数据集 [英] Using Kaggle Datasets in Google Colab

问题描述

是否可以通过 Google Colab 中的 kaggle API 使用任何可用的数据集?我看到

接下来，向下滚动到 API 访问部分并点击生成下载 API 密钥.这会将名为 kaggle.json 的文件下载到您的计算机.您将在 Colab 中使用此文件来访问 Kaggle 数据集和比赛.

导航到 https://colab.research.google.com/.

使用以下代码段上传您的 kaggle.json 文件一个代码单元:

从 google.colab 导入文件文件.上传()

使用 !pip install -q kaggle

安装 kaggle API

将 kaggle.json 文件移动到 ~/.kaggle 中，这是API 客户端希望您的令牌位于:

!mkdir -p ~/.kaggle!cp kaggle.json ~/.kaggle/

现在您可以使用客户端访问数据集，例如 !kaggle datasets list.

以下是此过程的 Colab 部分的完整示例笔记本:https://colab.research.google.com/drive/1DofKedQYaXmDWBzuResXWWvxhLgDeVyl

此示例显示上传 kaggle.json 文件、Kaggle API 客户端以及使用 Kaggle 客户端下载数据集.

Is it possible to use any datasets available via the kaggle API in Google Colab? I see the Kaggle API is used in this Colab notebook, but it's a bit unclear to me what datasets it provides access to.

解决方案

Step-by-step --

1. Create an API key in Kaggle.

   To do this, go to kaggle.com/ and open your user settings page.

2. Next, scroll down to the API access section and click generate to download an API key. This will download a file called kaggle.json to your computer. You'll use this file in Colab to access Kaggle datasets and competitions.

3. Navigate to https://colab.research.google.com/.

4. Upload your kaggle.json file using the following snippet in a code cell:

   from google.colab import files files.upload()

5. Install the kaggle API using !pip install -q kaggle

6. Move the kaggle.json file into ~/.kaggle, which is where the API client expects your token to be located:

   !mkdir -p ~/.kaggle !cp kaggle.json ~/.kaggle/

7. Now you can access datasets using the client, e.g., !kaggle datasets list.

Here's a complete example notebook of the Colab portion of this process: https://colab.research.google.com/drive/1DofKEdQYaXmDWBzuResXWWvxhLgDeVyl

This example shows uploading the kaggle.json file, the Kaggle API client, and using the Kaggle client to download a dataset.

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