_target_: rectified_point_flow.data.PointCloudDataModule
multi_anchor: false
random_scale_range: [0.9, 1.1]
normalizing_scale_factor: 1.5  # multiplier for normalizing point cloud extent (scale = max(abs(pts)) * normalizing_scale_factor)

use_random_split: false # otherwise, we use the sequence-based split
force_use_ply: true # set to true to force loading PLY files instead of HDF5

data_root: ${data_root}

dataset_names: [
  "your_dataset_name_1",
  "your_dataset_name_2",
  "your_dataset_name_3",
  "your_dataset_name_4",
  "your_dataset_name_5",
  "your_dataset_name_6",
  "your_dataset_name_7",
  "your_dataset_name_8",
  "your_dataset_name_9",
  "your_dataset_name_10",
]

# dataset_sample_limits: {
#   "your_dataset_name_1": 5000,
# }

dataset_configs:
  your_dataset_name_2: { yaw_augmentation: false }
  your_dataset_name_5: { roll_pitch_range: 60.0 }


batch_size: 8
num_workers: 8
limit_val_samples: 0  # 0 for all samples