Name: AmazonFineFoods
Creator: Kaggle
License: http://opendatacommons.org/licenses/dbcl/1.0/

About this Dataset

AmazonFineFoods

Context

Amazon.com is one of the largest e-commerce and cloud computing companies. Amazon relies heavily on a recommendation engine that reviews customer ratings and purchase history to suggest items and improve sales.

Content

This is a lightweight and cleaned version of the popular Amazon Fine Foods dataset. It is a dataset related to 3000 customer reviews with rating of food related products sold on their website up to Oct 2012. The size and content of this dataset make it ideal for beginner experiments with NLP techniques. Have fun!

The dataset contains the following columns:

Id -> Review ID
Product Id -> Unique identifier for the product
User Id -> Unique identifier for the user
Profile Name -> Name of the user who wrote the review
Helpful Numerator -> Number of users who found the review helpful
Helpful Denominator -> Number of users who found the review helpful or not)
Score -> Rating given in the review (5 being the highest and 1 being the lowest rating)
Time -> Date and time of the review
Summary -> Summary of the review
Text -> Text of the review

Tables

Amazonfinefoods3k

@kaggle.davemarietti_amazonfinefoods3k_csv.amazonfinefoods3k

962.3 kB
2,999 rows
10 columns

CREATE TABLE amazonfinefoods3k (
  "n_565455" BIGINT  -- 565455,
  "b002gkek7g" VARCHAR,
  "a2bopoko6hks3e" VARCHAR,
  "stacey_walker" VARCHAR,
  "n_0" BIGINT  -- 0,
  "n_0_1" BIGINT  -- 0.1,
  "n_5" BIGINT  -- 5,
  "n_1317945600" BIGINT  -- 1317945600,
  "my_daily_pick_me_up" VARCHAR,
  "i_love_click_my_favorite_protein_drink_by_far_i_add_a__4cf53825" VARCHAR  -- I LOVE Click! My Favorite Protein Drink By Far. I Add A Little Sugar-free Caramel Coffee Syrup And A Few Drops Coconut Extract. Tastes Just Like A Samoa.
);