Bug fixes

convlab/dst/setsumbt/do/nbt.py

@@ -31,7 +31,7 @@ from convlab.dst.setsumbt.modeling.bert_nbt import BertSetSUMBT
 from convlab.dst.setsumbt.modeling.roberta_nbt import RobertaSetSUMBT
 from convlab.dst.setsumbt.unified_format_data import unified_format
 from convlab.dst.setsumbt.modeling import training
-from convlab.dst.setsumbt.multiwoz import ontology as embeddings
+from convlab.dst.setsumbt.unified_format_data.dataset import ontology as embeddings
 from convlab.dst.setsumbt.utils import get_args, update_args
 # from convlab.dst.setsumbt.modeling import ensemble_utils
 

convlab/dst/setsumbt/unified_format_data/Tracker.py

@@ -10,20 +10,11 @@ from transformers import (BertModel, BertConfig, BertTokenizer,
 from convlab.dst.setsumbt.modeling import (RobertaSetSUMBT,
                                             BertSetSUMBT)
 
-<<<<<<<< HEAD:convlab/dst/setsumbt/multiwoz/Tracker.py
 from convlab.dst.dst import DST
 from convlab.util.multiwoz.state import default_state
 from convlab.util.multiwoz.multiwoz_slot_trans import REF_SYS_DA, REF_USR_DA
 from convlab.dst.rule.multiwoz import normalize_value
 from convlab.util.custom_util import model_downloader
-========
-from convlab2.dst.dst import DST
-from convlab2.util.multiwoz.state import default_state
-from convlab2.util.multiwoz.multiwoz_slot_trans import REF_SYS_DA, REF_USR_DA
-from convlab2.dst.rule.multiwoz import normalize_value
-from convlab2.util.custom_util import model_downloader
-from convlab2.dst.setsumbt.modeling.training import set_ontology_embeddings
->>>>>>>> setsumbt_unifiedformat:convlab2/dst/setsumbt/unified_format_data/Tracker.py
 
 USE_CUDA = torch.cuda.is_available()
 

convlab/dst/setsumbt/unified_format_data/__init__.py

-from convlab2.dst.setsumbt.unified_format_data.dataset import unified_format, ontology
-from convlab2.dst.setsumbt.unified_format_data.Tracker import SetSUMBTTracker
+from convlab.dst.setsumbt.unified_format_data.dataset import unified_format, ontology
+from convlab.dst.setsumbt.unified_format_data.Tracker import SetSUMBTTracker
\ No newline at end of file

convlab/dst/setsumbt/unified_format_data/dataset/__init__.py

-#!/usr/bin/env python3
-"""__init__.py.py:Description"""
-__author__  =   'Carel van Niekerk'
-__version__ =   '0.1'
-__date__    =   '29.06.22'
-
-# Load Packages
-
-
-if __name__ == '__main__':
-    #run
-

convlab/dst/setsumbt/unified_format_data/dataset/unified_format.py

@@ -19,7 +19,7 @@ import torch
 from torch.utils.data import Dataset, DataLoader, RandomSampler, SequentialSampler
 from copy import deepcopy
 
-from convlab2.dst.setsumbt.unified_format_data.dataset.utils import (load_dataset, get_ontology_slots,
+from convlab.dst.setsumbt.unified_format_data.dataset.utils import (load_dataset, get_ontology_slots,
                                             ontology_add_values, get_values_from_data, ontology_add_requestable_slots,
                                             get_requestable_slots, load_dst_data, extract_dialogues)
 

convlab/dst/setsumbt/unified_format_data/dataset/utils.py

@@ -15,7 +15,7 @@
 # limitations under the License.
 """Convlab3 Unified dataset data processing utilities"""
 
-from convlab2.util import load_dataset, load_ontology, load_dst_data, load_nlu_data
+from convlab.util import load_dataset, load_ontology, load_dst_data, load_nlu_data
 
 # MultiWOZ specific label map to avoid duplication and typos in values
 VALUE_MAP = {'guesthouse': 'guest house', 'belfry': 'belfray', '-': ' ', '&': 'and', 'b and b': 'bed and breakfast',

setup.py

@@ -29,7 +29,7 @@ setup(
         'tabulate',
         'python-Levenshtein',
         'requests',
-        'numpy>=1.22',
+        'numpy',
         'nltk',
         'scipy',
         'tensorboard',