fix readme

add_new_analogy.py

@@ -1,12 +1,35 @@
 import json
 import os
+from itertools import combinations
+from random import shuffle, seed
 from datasets import load_dataset
 
-# create analogy from `relbert/semeval2012_relational_similarity`
-data = load_dataset("relbert/semeval2012_relational_similarity", split="validation")
-analogy_data = [{
-    "stem": i['positives'][0], "choice": i["negatives"] + [i['positives'][1]], "answer": 2, "prefix": i["relation_type"]
-} for i in data]
-os.makedirs("dataset/semeval2012_relational_similarity", exist_ok=True)
-with open("dataset/semeval2012_relational_similarity/valid.jsonl", "w") as f:
+# # create analogy from `relbert/semeval2012_relational_similarity`
+# data = load_dataset("relbert/semeval2012_relational_similarity", split="validation")
+# analogy_data = [{
+#     "stem": i['positives'][0], "choice": i["negatives"] + [i['positives'][1]], "answer": 2, "prefix": i["relation_type"]
+# } for i in data]
+# os.makedirs("dataset/semeval2012_relational_similarity", exist_ok=True)
+# with open("dataset/semeval2012_relational_similarity/valid.jsonl", "w") as f:
+#     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")
+analogy_data = []
+for i in data:
+    if len(i['positives']) < 2:
+        continue
+    for m, (q, c) in enumerate(combinations(i['positives'], 2)):
+        if m > 5:
+            break
+        negative = i['negatives']
+        for n in range(6):
+            seed(n)
+            shuffle(negative)
+            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:
     f.write("\n".join([json.dumps(i) for i in analogy_data]))

analogy_questions.py

@@ -5,7 +5,7 @@ import datasets
 logger = datasets.logging.get_logger(__name__)
 _DESCRIPTION = """[Analogy Question](https://aclanthology.org/2021.acl-long.280/)"""
 _NAME = "analogy_questions"
-_VERSION = "1.0.1"
+_VERSION = "1.0.2"
 _CITATION = """
 @inproceedings{ushio-etal-2021-bert,
     title = "{BERT} is to {NLP} what {A}lex{N}et is to {CV}: Can Pre-Trained Language Models Identify Analogies?",
@@ -34,13 +34,12 @@ _URLS = {
             'sat_full': [f'{_URL}/sat/test.jsonl', f'{_URL}/sat/valid.jsonl'],
             'u2': [f'{_URL}/u2/test.jsonl'],
             'u4': [f'{_URL}/u4/test.jsonl'],
-            "semeval2012_relational_similarity": []
+            "t_rex_relation_similarity": [f'{_URL}/t_rex_relation_similarity/test.jsonl']
         },
     str(datasets.Split.VALIDATION): {
             'bats': [f'{_URL}/bats/valid.jsonl'],
             'google': [f'{_URL}/google/valid.jsonl'],
             'sat': [f'{_URL}/sat/valid.jsonl'],
-            'sat_full': [],
             'u2': [f'{_URL}/u2/valid.jsonl'],
             'u4': [f'{_URL}/u4/valid.jsonl'],
             "semeval2012_relational_similarity": [f'{_URL}/u4/valid.jsonl']