add_new_analogy.py

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:
#     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]))

data = load_dataset("relbert/t_rex_relation_similarity", "filter_unified.min_entity_4_max_predicate_100", split="validation")
analogy_data = []
for i in data:
    if len(i['positives']) < 5:
        continue
    for m, (q, c) in enumerate(combinations(i['positives'], 2)):
        if m > 5:
            break
        negative = i['negatives']
        for n in range(3):
            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/valid.jsonl", "w") as f:
    f.write("\n".join([json.dumps(i) for i in analogy_data]))