thesis_stochastic_depth / splits /cifar100 /split_config.json
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{
"compatibility_copy": "data/processed/cifar100/cifar-100-python",
"cross_label_identical_image_groups": 17,
"dataset": "cifar100",
"dry_run": false,
"duplicate_anomalies_used_to_modify_benchmark": false,
"duplicate_policy": "Diagnostic only. Official CIFAR samples, labels, and official train/test membership are never changed because of exact-image anomalies.",
"link_mode": "copy",
"official_test_count": 10000,
"official_test_preserved_unchanged": true,
"official_train_count": 50000,
"official_train_test_duplicate_groups": 10,
"records": 60000,
"same_label_duplicate_groups": 9,
"split_policy": "official_train_stratified_450_50_per_class_official_test_untouched",
"split_seed": 42,
"test_count": 10000,
"test_policy": "Official CIFAR-100 test pickle is untouched and is never used for validation/checkpoint selection.",
"torchvision_root": "data/processed/cifar100",
"train_count": 45000,
"val_count": 5000,
"warnings": []
}