Drag & Drop your file here (CSV, JSON, TXT)
or
dataset.csv
1.2 MB
About the Split Dataset Tool
Splitting a dataset is a fundamental step in Machine Learning and Data Science. To evaluate a model's performance accurately, you need to separate your data into distinct sets: Training (to teach the model), Testing (to evaluate final performance), and optionally Validation (to tune hyperparameters).
This Split Dataset by Ratio Online tool allows you to perform this task instantly in your browser without writing a single line of Python or R code. Unlike other tools, your data is processed 100% client-side, meaning it never leaves your device, ensuring maximum privacy and security.
How to Use
- Upload Data: Drag and drop your CSV, JSON, or Text file, or paste the data manually.
- Set Ratios: Adjust the percentage sliders for Training, Testing, and Validation sets. Ensure they add up to 100%.
- Configure Options: Choose whether to shuffle the data (recommended for random distribution) and if your data has a header row. You can also set a "Random Seed" to reproduce the exact same split later.
- Download: Click "Split Dataset" and then download your separated files in your preferred format (CSV or JSON).
Features & Benefits
- Privacy First: No server uploads. All processing happens in your browser.
- Format Support: Works seamlessly with CSV, JSON, and line-separated text files.
- Reproducibility: Use the Seed feature to get the exact same random shuffle every time.
- Instant Preview: See a snippet of your split data before downloading.
Frequently Asked Questions
Read Also: