Refine import code.

wit/meaning/__init__.py

@@ -0,0 +1,2 @@
+from .dataset import InitDataset
+from .dataset import InitValDataset

wit/meaning/dataset.py

@@ -1,5 +1,5 @@
-from meaning.meaning_dataset import MeaningDataset, BatchGroupMeaningDataloader
-from meaning.special_dataset import SpecialDataset
+from .meaning_dataset import MeaningDataset, BatchGroupMeaningDataloader
+from .special_dataset import SpecialDataset
 from torch.utils.data import random_split, DataLoader
 import torch
 import os

wit/meaning/meaning_dataset.py

@@ -7,7 +7,11 @@ from typing import Dict, Tuple
 from torch.utils.data import ConcatDataset, DataLoader, Dataset, random_split
 import numpy as np
 from torch.utils.data import BatchSampler
+
+if __name__ == "__main__":
     from node_tree import NodeTree
+else:
+    from .node_tree import NodeTree
 
 
 class MeaningMap:

wit/query_meaning_freq.py

@@ -2,13 +2,11 @@ import pytorch_lightning as pl
 import torch
 
 from model.light_module import LightModule
-from model.modeling_wit import ModelRunner
 from model.tokenization_qwen import QWenTokenizer
 import numpy as np
 
 import configuration
-import meaning.dataset as ds
-import dataset.node_tree as nt
+import meaning as m
 
 if __name__ == "__main__":
 
@@ -20,7 +18,7 @@ if __name__ == "__main__":
     torch.manual_seed(conf.seed)
     np.random.seed(conf.seed)
 
-    train_dataloader, val_dataloader = ds.InitDataset(conf)
+    train_dataloader, val_dataloader = m.InitDataset(conf)
 
     loader = train_dataloader.dataset