The Regex Pattern Dataset is an invaluable resource for developers and data scientists, offering a comprehensive collection of regular expression patterns alongside their respective test cases and descriptions. This dataset, formatted in JSON, serves as a go-to reference for a variety of common regex applications, simplifying the process of data validation and text parsing.

Features of the Dataset

Each entry in this extensive collection contains essential details:

• created_at: A timestamp that indicates when the pattern was added, providing historical context to your work.
• title: A clear name/title for each regex pattern, making it easy to identify its purpose.
• description: A helpful explanation of the regex pattern, when available, to clarify its usage.
• text: Sample test strings for practical verification of the regex functionality.
• regex: The actual regular expression pattern, ready for immediate implementation.

Common Use Cases

Included in the dataset are regex patterns for a multitude of tasks, such as:

• Email validation: Ensure user emails are formatted correctly.
• Password validation: Create robust security by validating password complexity.
• VAT number validation: Verify that VAT numbers conform to the required format.
• Name formatting: Ensure names are entered correctly.
• URL parsing: Extract and validate web addresses efficiently.
• And many more: Explore a variety of additional regex patterns for diverse applications.

How to Use

This dataset is structured in an accessible JSON format, making it easy to parse for integration into your applications. Each regex pattern comes with predefined test cases in the text field, allowing you to quickly test and confirm the behavior of the regex in real-world scenarios.

Harness the power of regular expressions with this convenient regex pattern dataset and streamline your data processing tasks!