Performs existence checks for expected splits and annotations, then runs
annotation diagnostics (counts, size distribution, potential issues) for
each split.
Usage
validate_dataset(data_dir, quiet = FALSE)
Arguments
- data_dir
Directory containing 'train' and 'valid' subdirectories
- quiet
If TRUE, suppress CLI output while still returning diagnostics
Value
A list with validation flags, counts, size metrics, and diagnostics
