Update process.py

process.py

@@ -62,20 +62,30 @@ if __name__ == '__main__':
             }) + '\n')
 
     with open(f'dataset/train.jsonl', 'w') as f:
-        for relation, df_p in dev1_p.groupby('relation'):
+        for relation, df_p in train_p.groupby('relation'):
             if len(df_p) < 2:
                 continue
             if relation in exclude:
                 continue
             print(relation)
-            df_n = dev1_n[dev1_n['relation'] == relation]
             f.write(json.dumps({
                 'relation_type': relation,
                 'positives': df_p[['head', 'tail']].to_numpy().tolist(),
-                'negatives': df_n[['head', 'tail']].to_numpy().tolist()
+                'negatives': []
             }) + '\n')
 
     with open(f'dataset/valid.jsonl', 'w') as f:
+        for relation, df_p in dev1_p.groupby('relation'):
+            if len(df_p) < 2:
+                continue
+            if relation in exclude:
+                continue
+            df_n = dev1_n[dev1_n['relation'] == relation]
+            f.write(json.dumps({
+                'relation_type': relation,
+                'positives': df_p[['head', 'tail']].to_numpy().tolist(),
+                'negatives': df_n[['head', 'tail']].to_numpy().tolist()
+            }) + '\n')
         for relation, df_p in dev2_p.groupby('relation'):
             if len(df_p) < 2:
                 continue
@@ -87,3 +97,4 @@ if __name__ == '__main__':
                 'positives': df_p[['head', 'tail']].to_numpy().tolist(),
                 'negatives': df_n[['head', 'tail']].to_numpy().tolist()
             }) + '\n')
+