fix readme

add_new_analogy.py

@@ -14,8 +14,8 @@ from datasets import load_dataset
 #     f.write("\n".join([json.dumps(i) for i in analogy_data]))
 
 
-# # create analogy from `relbert/t_rex_relation_similarity`
-# data = load_dataset("relbert/t_rex_relation_similarity", "filter_unified.min_entity_1_max_predicate_100", split="test")
+# # create analogy from `relbert/t_rex_relational_similarity`
+# data = load_dataset("relbert/t_rex_relational_similarity", "filter_unified.min_entity_1_max_predicate_100", split="test")
 # analogy_data = []
 # for i in data:
 #     if len(i['positives']) < 2:
@@ -30,11 +30,11 @@ from datasets import load_dataset
 #             analogy_data.append({
 #                 "stem": q, "choice": [c] + negative[:5], "answer": 0, "prefix": i["relation_type"]
 #             })
-# os.makedirs("dataset/t_rex_relation_similarity", exist_ok=True)
-# with open("dataset/t_rex_relation_similarity/test.jsonl", "w") as f:
+# os.makedirs("dataset/t_rex_relational_similarity", exist_ok=True)
+# with open("dataset/t_rex_relational_similarity/test.jsonl", "w") as f:
 #     f.write("\n".join([json.dumps(i) for i in analogy_data]))
 #
-# data = load_dataset("relbert/t_rex_relation_similarity", "filter_unified.min_entity_4_max_predicate_100", split="validation")
+# data = load_dataset("relbert/t_rex_relational_similarity", "filter_unified.min_entity_4_max_predicate_100", split="validation")
 # analogy_data = []
 # for i in data:
 #     if len(i['positives']) < 5:
@@ -49,13 +49,13 @@ from datasets import load_dataset
 #             analogy_data.append({
 #                 "stem": q, "choice": [c] + negative[:5], "answer": 0, "prefix": i["relation_type"]
 #             })
-# os.makedirs("dataset/t_rex_relation_similarity", exist_ok=True)
-# with open("dataset/t_rex_relation_similarity/valid.jsonl", "w") as f:
+# os.makedirs("dataset/t_rex_relational_similarity", exist_ok=True)
+# with open("dataset/t_rex_relational_similarity/valid.jsonl", "w") as f:
 #     f.write("\n".join([json.dumps(i) for i in analogy_data]))
 
-# create analogy from `relbert/conceptnet_relation_similarity`
+# create analogy from `relbert/conceptnet_relational_similarity`
 for s in ['test', 'validation']:
-    data = load_dataset("relbert/conceptnet_relation_similarity", split=s)
+    data = load_dataset("relbert/conceptnet_relational_similarity", split=s)
     analogy_data = []
     for i in data:
         if len(i['positives']) < 2:
@@ -71,6 +71,6 @@ for s in ['test', 'validation']:
                     "stem": q, "choice": [c] + negative[:5], "answer": 0, "prefix": i["relation_type"]
                 })
     print(len(analogy_data))
-    os.makedirs("dataset/conceptnet_relation_similarity", exist_ok=True)
-    with open(f"dataset/conceptnet_relation_similarity/{s if s == 'test' else 'valid'}.jsonl", "w") as f:
+    os.makedirs("dataset/conceptnet_relational_similarity", exist_ok=True)
+    with open(f"dataset/conceptnet_relational_similarity/{s if s == 'test' else 'valid'}.jsonl", "w") as f:
         f.write("\n".join([json.dumps(i) for i in analogy_data]))