Share dataset using kaggle API

After creating a large beautiful dataset or corpus we all want to share with the large beautiful community.

Here is a step by step approach to share your dataset using kaggle api

Creating Dataset in Kaggle

• Download kaggle api and keep it inside C:\Users\username\.kaggle in windows and /home/username/.kaggle in linux

• Install kaggle api by pip install kaggle
• Create a directory and keep your data inside that directory
• Create dataset metadata by kaggle datasets init -p /path/your_directory
• Fill the dataset metadata file according to your information and template
• Now create your dataset in kaggle by kaggle datasets create -p /path/your_direcotory
• To make this dataset public you can use -u or can change in kaggle profile share setting option

Updating your dataset

• Run kaggle datasets init -p /path/to/dataset to generate a metadata file if you don’t already have one
• Make sure the id field in datapackage.json points to your dataset
• Run kaggle datasets version -p /path/your_directory -m “Your message here”

References

• https://www.kaggle.com/product-feedback/52640
• https://www.kaggle.com/docs/api
• https://github.com/Kaggle/kaggle-api#create-a-new-dataset