1st method

you can head into the dataset page and click on new notebook at the top right corner

2nd method

open any notebook and click on add data at the right menue

3rd method

not recommended, since each person that opens the ipynb will have to upload their own token first.

when using colab first download your kaggke json key and do the following steps

• create a kaggle key, you can go into your settings then head into the account tab and you can find a create new token button in the api section, click on it to download your token.
• install the kaggle library

! pip install  kaggle

• upload your kaggle key or you can put the following code to upload the key

from google.colab import files
files.upload()

• now you can download your dataset using the following code

!kaggle datasets download -d [user/data-name]

in our example here [user/data-name] is kukuroo3/body-performance-data

Basically, if you want to use the Kaggle python API (the solution provided by @minh-triet is for the command line not for python) you have to do the following:

import kaggle

kaggle.api.authenticate()

kaggle.api.dataset_download_files('The_name_of_the_dataset', path='the_path_you_want_to_download_the_files_to', unzip=True)

I hope this helps.

Kaggle has already provided extensive documentation for their command line API here, which has been built using Python and the source can be found here so reverse engineering it is very straight forward in order to use Kaggle API pythonically.

Assuming you've already exported the username and key as environment variables

import os
os.environ['KAGGLE_USERNAME'] = '<kaggle-user-name>'
os.environ['KAGGLE_KEY'] = '<kaggle-key>'
os.environ['KAGGLE_PROXY'] = '<proxy-address>' ## skip this step if you are not working behind a firewall

or you've successfully downloaded kaggle.json from the API section in your Kaggle Account page and copied this JSON to ~/.kaggle/ i.e. the Kaggle configuration directory in your system.

Then, you can use the following code in your Jupyter notebook to load this dataset to a pandas dataframe:

1. Import libraries

import kaggle as kg
import pandas as pd

2. Download the dataset locally

kg.api.authenticate()
kg.api.dataset_download_files(dataset="START-UMD/gtd", path='gt.zip', unzip=True)

3. Read the downloaded dataset

df = pd.read_csv('gt.zip/globalterrorismdb_0718dist.csv', encoding='ISO-8859-1')

I think that the name of the competition is wrong. Try:

from kaggle.api.kaggle_api_extended import KaggleApi

api = KaggleApi('copy and paste kaggle.json content here')
api.authenticate()
files = api.competition_download_files("two-sigma-financial-news")