Datasets:
| { | |
| "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": [] | |
| } | |