Build datasets using natural language
Support by Parquet, CSV, Jsonl, XLS
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Label data for machine learning models
Train a model using custom data
Manage and label datasets for your projects
Organize and process datasets using AI
Download datasets from a URL
Generate dataset for machine learning
Display translation benchmark results from NTREX dataset
Create a large, deduplicated dataset for LLM pre-training
Speech Corpus Creation Tool
Create and validate structured metadata for datasets
A Synthetic Data Generator is a powerful tool designed to build datasets using natural language. It enables users to generate synthetic datasets for training machine learning models, addressing data scarcity and privacy concerns by creating realistic, artificial data tailored to specific needs.
What types of data can I generate with Synthetic Data Generator?
You can generate text, images, tabular data, and more, depending on your specified requirements.
Is the generated data realistic enough for training models?
Yes, the synthetic data is designed to be highly realistic and suitable for training machine learning models effectively.
Can I customize the data to fit my specific needs?
Absolutely. You can define formats, schemas, and patterns to ensure the data aligns with your use case.