Importing Kaggle dataset into google colaboratory

While building a Deep Learning model, the first task is to import datasets online and this task proves to be very hectic sometimes. We can easily import Kaggle datasets in just a few steps: Code: Importing CIFAR 10 dataset Python3

!pip install kaggle

Now go to your Kaggle account and create new API token from my account section, a kaggle.json file will be downloaded in your PC. Code: Python3

from google.colab import files
files.upload()

Code: Uploading the kaggle.json file Python3

!mkdir -p ~/.kaggle
!cp kaggle.json ~/.kaggle/
!chmod 600 ~/.kaggle/kaggle.json

Copy the URL of your dataset and paste it in another cell. Code: To unzip the uploaded dataset. Python3

from zipfile import Zipfile
file_name=("cifar10-preprocessed.zip")
with Zipfile(file_name,'r') as zip:
             zip.extractall()
             print("done")

Code: Python3

'./get_CIFAR-10.sh'
import tensorflow as tf

(x_train,y_train),(x_test,y_test) = tf.keras.cifar10.load_data()

Now your training and test set is ready to be used.