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ssam
Split text files into training, test, and development sets using random sampling
Description
Ssam (split sampler) splits one or more text-based input files into multiple sets using random sampling. This is useful for splitting data into training, test, and development sets for machine learning.
When to use this tool
✓ Good fit when
- When you need to split data for machine learning
- When creating training and test datasets
✕ Avoid when
- When you need stratified sampling
AI Summary
Split text files into training, test, and development sets using random sampling
Capabilities
- + Random sampling of text files
- + Split into multiple data sets
- + Training/test/dev set creation
- + Process multiple input files
Use When
- → When you need to split data for machine learning
- → When creating training and test datasets
Avoid When
- x When you need stratified sampling