Update create_split.py

create_split.py

@@ -6,10 +6,6 @@ import pandas as pd
 from random import shuffle, seed
 
 
-parameters_min_e_freq = [1, 2, 3, 4]
-parameters_max_p_freq = [100, 50, 25, 10]
-
-
 def get_test_predicate(_data):
     tmp_df = pd.DataFrame(_data)
     predicates_count = tmp_df.groupby("predicate")['text'].count().sort_values(ascending=False).to_dict()
@@ -49,18 +45,17 @@ with open("data/t_rex.filter_unified.test.jsonl") as f:
 
 
 seed(42)
-for min_e_freq, max_p_freq in product(parameters_min_e_freq, parameters_max_p_freq):
-    with open(f"data/t_rex.filter_unified.min_entity_{min_e_freq}_max_predicate_{max_p_freq}.jsonl") as f:
-        data = [json.loads(i) for i in f.read().split('\n') if len(i) > 0]
-    for i in data:
-        i['relation'] = i.pop('predicate')
-        i['head'] = i.pop('subject')
-        i['tail'] = i.pop('object')
-    data = [i for i in data if i['relation'] not in test_predicate]
-    shuffle(data)
-    data_train = data[:int(len(data) * 0.9)]
-    data_valid = data[int(len(data) * 0.9):]
-    with open(f"data/t_rex.filter_unified.min_entity_{min_e_freq}_max_predicate_{max_p_freq}.train.jsonl", "w") as f:
-        f.write('\n'.join([json.dumps(i) for i in data_train]))
-    with open(f"data/t_rex.filter_unified.min_entity_{min_e_freq}_max_predicate_{max_p_freq}.validation.jsonl", "w") as f:
-        f.write('\n'.join([json.dumps(i) for i in data_valid]))
+with open(f"data/t_rex.filter_unified.jsonl") as f:
+    data = [json.loads(i) for i in f.read().split('\n') if len(i) > 0]
+for i in data:
+    i['relation'] = i.pop('predicate')
+    i['head'] = i.pop('subject')
+    i['tail'] = i.pop('object')
+data = [i for i in data if i['relation'] not in test_predicate]
+shuffle(data)
+data_train = data[:int(len(data) * 0.8)]
+data_valid = data[int(len(data) * 0.8):]
+with open(f"data/t_rex.filter_unified.train.jsonl", "w") as f:
+    f.write('\n'.join([json.dumps(i) for i in data_train]))
+with open(f"data/t_rex.filter_unified.validation.jsonl", "w") as f:
+    f.write('\n'.join([json.dumps(i) for i in data_valid]))