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| """Data — dataset loaders, splits, and tf.data pipelines. | |
| Data lives separately from preprocessing because *I/O and randomness* are | |
| fundamentally different concerns from pure transforms. This package owns: | |
| coco.py Read COCO annotation JSONs into a (image_path, caption) DataFrame | |
| splits.py Deterministic image-level train/val splitting (NOT caption-level — | |
| preventing the same image from appearing in both splits) | |
| pipeline.py Compose preprocessing + tokenization into tf.data pipelines | |
| """ | |
| from captioning.data.coco import load_coco_annotations | |
| from captioning.data.pipeline import build_train_pipeline, build_val_pipeline | |
| from captioning.data.splits import make_image_level_splits | |
| __all__ = [ | |
| "build_train_pipeline", | |
| "build_val_pipeline", | |
| "load_coco_annotations", | |
| "make_image_level_splits", | |
| ] | |