How to Download a Dataset from Kaggle to Google Colab | by Aulia Audri | Jul, 2024

Using datasets from Kaggle in your machine learning initiatives in Google Colab could also be quick and easy in case you acknowledge the suitable steps. On this text, I’ll current you straightforward strategies to acquire a dataset from Kaggle and use it in Google Colab.

Step 1: Get the API Token from Kaggle

• Log in to your Kaggle account: Go to kaggle.com and log in to your account.
• Go to your account internet web page: Click on on in your profile picture throughout the prime correct nook and select “Settings” .
• Scroll proper all the way down to the API half: Proper right here you’ll discover a button labeled “Create New API Token”. Click on on this button, and a kaggle.json file could be downloaded to your laptop computer. This file incorporates the API Token that you just’ll use to entry Kaggle datasets from Colab.

Step 2: Arrange the Kaggle Bundle

• Create a model new pocket e-book in Google Colab: Open Google Colab and create a model new pocket e-book and arrange Kaggle using following this code.

! pip arrange kaggle

• Add the kaggle.json file: Click on on on the folder icon on the left side, then click on on on the add icon and select the kaggle.json file you merely downloaded from Kaggle.

from google.colab import recordsdata
uploaded = recordsdata.add()

Step 3: Set Up the API Token and Receive the Dataset

After importing the kaggle.json file, you’ll wish to prepare this token to be used by the Kaggle API after which acquire the dataset you want. Add and run the following code in your Colab cell:

# Make a list for the Kaggle API token
!mkdir ~/.kaggle
# Switch the kaggle.json file to that itemizing
!cp kaggle.json ~/.kaggle/
# Change the file permissions to be accessible solely by the buyer
!chmod 600 ~/.kaggle/kaggle.json
# Receive the dataset from Kaggle using the API
!kaggle datasets acquire -c <dataset-name>

Change <dataset-name> with the determine of the dataset you want to acquire, which you’ll uncover throughout the URL of the Kaggle dataset.

Step 4: Extract and Unzip the Dataset

Normally, the dataset downloaded from Kaggle is in a zipper file. It’s worthwhile to extract this file sooner than it is best to put it to use.

!unzip <dataset-name.zip>

Step 5: Entry the Information

After extracting the recordsdata, you probably can entry the data and start using it in your machine learning endeavor.

import pandas as pd
# Study info from the CSV file
df = pd.read_csv('<path-to-csv-file>')
print(df.head())

By following these steps, you probably can merely acquire and use datasets from Kaggle in Google Colab. Give it a try, and I hope you uncover this textual content helpful!