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
Step-by-step --
Create an API key in Kaggle.
To do this, go to kaggle.com/ and open your user settings page.
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.
Navigate to https://colab.research.google.com/.
Upload your kaggle.json
file using the following snippet in
a code cell:
from google.colab import files
files.upload()
Install the kaggle API using !pip install -q kaggle
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/
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.
First of all, run this command to find out where this colab file exists, how it executes.
!ls -d $PWD/*
It will show /content/data /content/gdrive /content/models
In other words, your current directory is root/content/. Your working directory(pwd) is /content/. so when you do !ls
, it will show data gdrive models
.
FYI, ! allows you to run linux commands inside colab.
Google Drive keeps cleaning up the /content folder. Therefore, every session you use colab, downloaded data sets, kaggle json file will be gone. That's why it's important to automate the process, so you can focus on writing code, not setting up the environment every time.
Run this in colab code block as an example with your own api key. open kaggle.json file. you will find them out.
# Info on how to get your api key (kaggle.json) here: https://github.com/Kaggle/kaggle-api#api-credentials
!pip install kaggle
{"username":"seunghunsunmoonlee","key":""}
import json
import zipfile
import os
with open('/content/.kaggle/kaggle.json', 'w') as file:
json.dump(api_token, file)
!chmod 600 /content/.kaggle/kaggle.json
!kaggle config path -p /content
!kaggle competitions download -c dog-breed-identification
os.chdir('/content/competitions/dog-breed-identification')
for file in os.listdir():
zip_ref = zipfile.ZipFile(file, 'r')
zip_ref.extractall()
zip_ref.close()
Then run !ls
again. You will see all data you need.
Hope it helps!