> ## Documentation Index
> Fetch the complete documentation index at: https://docs.useocular.com/llms.txt
> Use this file to discover all available pages before exploring further.
# Dataset Splits
> Split datasets into training, testing, and validation sets
# 🔄 Managing Dataset Splits
This guide explains how to manage train/test/validation splits in your datasets at different stages of your workflow.
## 1. Split Adjustment at *Job → Dataset* Transfer
When adding frames from a completed job to the dataset, you can configure how the new frames will be distributed:
| Split Type | Purpose | Recommended % |
| -------------- | -------------------------------- | ------------- |
| **Training** | Used to teach the model patterns | 70-80% |
| **Testing** | Final model evaluation | 10-15% |
| **Validation** | In-progress performance checks | 10-15% |
Use the percentage sliders to adjust splits. A second popup will appear for confirmation before adding to dataset.
## 2. Dataset Page Split Management
View and manage your dataset splits directly in the dataset page header:
### Split View
Filter and view frames based on their assigned split (Training/Testing/Validation). You can also filter by annotated/unannotated frames within each split.
### Split Reassignment
Select one or more frames and the "Reassign" button will appear, allowing you to move frames between splits as needed. This gives you fine-grained control over your dataset organization.
## 3. Version-specific Splits
When creating a new version, you can define a new split ratio for the version using the slider in the create version panel:
The current dataset splits will be the default value if you do not adjust this slider.
Split changes for versions don't affect the main dataset's split breakdown.