Sample Database

MindsDB provides a read-only PostgreSQL database pre-loaded with various datasets. These datasets are curated to cover a wide range of scenarios and use cases, allowing you to experiment with different features of MindsDB.

Our publicly accessible PostgreSQL database is designed for testing and playground purposes. By using these datasets, you can quickly get started with MindsDB, understand how it works, and see how it can be applied to real-world problems.

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Connection

To connect to our read-only PostgreSQL database and access the example datasets, use the following connection parameters:

CREATE DATABASE postgresql_conn 
WITH ENGINE = 'postgres', 
PARAMETERS = {
    "user": "demo_user",
    "password": "demo_password",
    "host": "samples.mindsdb.com",
    "port": "5432",
    "database": "demo",
    "schema": "demo_data"
};

Below is the list of all avaiable datasets as tables.

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Data Tables

Here are the tables converted into Markdown format:

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Fraud Detection Dataset

This fraud_detection table contains data on mobile money transactions where each step represents an hour of simulation.

To learn more about this dataset, please visit this link.

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Customer Churn Dataset

This customer_churn table contains data of a U.S. bank customer churn.

To learn more about this dataset, please visit this link.

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Customer Support Chat Dataset

This customer_support_chat table contains data of chat with customer support, which can be used to train Large Language Models (LLMs) for Fine Tuning and Domain Adaptation.

To learn more about this dataset, please visit this link.

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Bank Customer Transactions Dataset

This bank_customer_transactions table contains data of customer transactions with demographic and shopping behavior information.

To learn more about this dataset, please visit this link.

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Telecom Customer Churn Dataset

This telecom_customer_churn table contains data on customer activities, preferences, and behaviors.

To learn more about this dataset, please visit this link.

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House Sales Dataset

This house_sales table contains data on houses sold throughout the years.

To learn more about this dataset, please visit this link.