Dataset: Simplified Instacart Market Basket Dataset

About this Dataset

Simplified Instacart Market Basket Dataset

The dataset for this competition is a relational set of files describing customers' orders over time. The goal of the competition is to predict which products will be in a user's next order. The dataset is anonymized and contains a sample of over 3 million grocery orders from more than 200,000 Instacart users. For each user, we provide between 4 and 100 of their orders, with the sequence of products purchased in each order. We also provide the week and hour of day the order was placed, and a relative measure of time between orders. For more information, see the blog post accompanying its public release.

Tables

All Order Products

@kaggle.brendanartley_simplifiedinstacartdata.all_order_products

105.71 MB
33819106 rows
3 columns


CREATE TABLE all_order_products (
  "order_id" BIGINT,
  "product_id" BIGINT,
  "add_to_cart_order" BIGINT
);

Orders

@kaggle.brendanartley_simplifiedinstacartdata.orders

24.18 MB
3346083 rows
3 columns


CREATE TABLE orders (
  "order_id" BIGINT,
  "user_id" BIGINT,
  "timestamp" TIMESTAMP
);

Products

@kaggle.brendanartley_simplifiedinstacartdata.products

1.44 MB
49688 rows
4 columns


CREATE TABLE products (
  "product_id" BIGINT,
  "product_name" VARCHAR,
  "aisle_id" BIGINT,
  "department_id" BIGINT
);