Overview

The Dataset Generator plugin creates synthetic datasets for AI model training, testing, and evaluation using advanced generation techniques. Generate realistic, diverse, and PII-free datasets at scale for any use case or data structure.

Key Features

01

Synthetic Data Generation

Generate realistic training data using AI-powered and template-based generation methods.

02

Custom Schemas

Define data structure and formats with flexible schema definition and validation.

03

Volume Control

Generate datasets of any size from hundreds to millions of records efficiently.

04

Quality Validation

Ensure data quality and consistency with automated validation and quality checks.

05

Format Support

Export in multiple formats including JSON, CSV, Parquet, and custom structures.

06

Diversity Assurance

Ensure dataset diversity and balance with configurable distribution controls.

Use Cases

Training Data Creation

Create training datasets for ML models without privacy concerns or data collection costs.

Testing and QA

Generate test data for quality assurance and validation without using production data.

Demo Data

Produce realistic demo data for presentations and product demonstrations.

Data Augmentation

Expand limited real-world datasets with synthetic data to improve model performance.

Edge Case Generation

Generate edge cases and challenging scenarios for comprehensive model testing.

Generate Quality Datasets Instantly

Create synthetic training and test data without privacy concerns or collection costs.

Request Access