
# What is this?
This is a cleaned version of [Amazon Product Dataset 2020](https://www.kaggle.com/datasets/promptcloud/amazon-product-dataset-2020) from Kaggle.

# Why?
- Using via Hugging Face API is easier; Kaggle API is annoying because their [authentication](https://www.kaggle.com/docs/api) is having credentials in a folder.
- Cleaned because 13/28 columns are empty.
task_categories:table-question-answering language:en license:cc0-1.0 ecommerce amazon product data region:us
{"language": ["en"], "license": "cc0-1.0", "task_categories": ["table-question-answering"], "pretty_name": "Amazon product dataset 2020", "tags": ["ecommerce", "amazon", "product data"]}
TAGS
#task_categories-table-question-answering #language-English #license-cc0-1.0 #ecommerce #amazon #product data #region-us 


# What is this?
This is a cleaned version of Amazon Product Dataset 2020 from Kaggle.

# Why?
- Using via Hugging Face API is easier; Kaggle API is annoying because their authentication is having credentials in a folder.
- Cleaned because 13/28 columns are empty.
# What is this?
This is a cleaned version of Amazon Product Dataset 2020 from Kaggle. # Why?
- Using via Hugging Face API is easier; Kaggle API is annoying because their authentication is having credentials in a folder.
- Cleaned because 13/28 columns are empty.
TAGS
#task_categories-table-question-answering #language-English #license-cc0-1.0 #ecommerce #amazon #product data #region-us 
 # What is this?
This is a cleaned version of Amazon Product Dataset 2020 from Kaggle. # Why?
- Using via Hugging Face API is easier; Kaggle API is annoying because their authentication is having credentials in a folder.
- Cleaned because 13/28 columns are empty.