README

conceptnet_high_confidence_v2.py

@@ -3,8 +3,8 @@ import datasets
 
 logger = datasets.logging.get_logger(__name__)
 _DESCRIPTION = """[ConceptNet with high confidence](https://home.ttic.edu/~kgimpel/commonsense.html)"""
-_NAME = "conceptnet_high_confidence"
-_VERSION = "2.0.0"
+_NAME = "conceptnet_high_confidence_v2"
+_VERSION = "2.0.1"
 _CITATION = """
 @inproceedings{li-16,
 title = {Commonsense Knowledge Base Completion},

get_stats.py

@@ -1,7 +1,7 @@
 import pandas as pd
 from datasets import load_dataset
 
-data = load_dataset('relbert/conceptnet_high_confidence')
+data = load_dataset('relbert/conceptnet_high_confidence_v2')
 stats = []
 for k in data.keys():
     for i in data[k]:

process.py

@@ -10,7 +10,7 @@ urls = {
     'dev2': 'https://home.ttic.edu/~kgimpel/comsense_resources/dev2.txt.gz',
     'test': 'https://home.ttic.edu/~kgimpel/comsense_resources/test.txt.gz'
 }
-exclude = ['NotCapable', 'NotDesires']
+exclude = ['NotCapableOf', 'NotDesires']
 
 
 def wget(url, cache_dir: str = './cache'):
@@ -52,6 +52,7 @@ if __name__ == '__main__':
                 continue
             if relation in exclude:
                 continue
+            print(relation)
             df_n = train_n[train_n['relation'] == relation]
             f.write(json.dumps({
                 'relation_type': relation,