train_datasets:
- 80_000 @ ARKitScenes_Multiview(split='train', data_scaling=${data.data_scaling}, num_views=${data.num_views}, window_size=${python_eval:"${data.num_views} * 5"}, num_samples_per_window=5, ROOT='${data.data_root}/arkitscenes_processed', aug_crop=256, resolution=[(512, 384), (512, 336), (512, 288), (512, 256), (512, 160)], transform=ColorJitter)
validation_datasets:
- 100 @ ARKitScenes_Multiview(split='train', num_views=${data.num_views_val}, window_size=${python_eval:"${data.num_views_val} * 5"}, num_samples_per_window=1, ROOT='${data.data_root}/arkitscenes_processed', resolution=(512, 384), seed=777)
In the file
configs/experiment/super_long_training/super_long_training.yaml, the data split for ARKitScenes_Multiview is bothtrain, I want to ask if it is correct or by mistake.Thank you very much