init

experiments/baseline_fasttext.py

@@ -37,14 +37,14 @@ def get_vector(_model, _word_a, _word_b):
 
 
 # load dataset
-data = load_dataset("cardiffnlp/relentless_full", split="test")
+data = load_dataset("cardiffnlp/relentless", split="test")
 full_result = []
 os.makedirs("./experiments/results/word_embedding/fasttext", exist_ok=True)
 scorer = None
 for d in data:
     ppl_file = f"experiments/results/word_embedding/fasttext/ppl.{d['relation_type'].replace(' ', '_').replace('/', '__')}.jsonl"
 
-    anchor_embeddings = [(a, b) for a, b in d['positive_examples']]
+    anchor_embeddings = [(a, b) for a, b in d['prototypical_examples']]
     option_embeddings = [(x, y) for x, y in d['pairs']]
 
     if not os.path.exists(ppl_file):
@@ -52,7 +52,7 @@ for d in data:
         if scorer is None:
             scorer = load_model()
 
-        anchor_embeddings = [get_vector(scorer, a, b) for a, b in d['positive_examples']]
+        anchor_embeddings = [get_vector(scorer, a, b) for a, b in d['prototypical_examples']]
         option_embeddings = [get_vector(scorer, x, y) for x, y in d['pairs']]
         similarity = [[cosine_similarity(a, b) for b in anchor_embeddings] for a in option_embeddings]
         output = [{"similarity": s} for s in similarity]

experiments/baseline_fasttext_zeroshot.py

@@ -31,14 +31,14 @@ def cosine_similarity(a, b):
 
 
 # load dataset
-data = load_dataset("cardiffnlp/relentless_full", split="test")
+data = load_dataset("cardiffnlp/relentless", split="test")
 full_result = []
 os.makedirs("./experiments/results/word_embedding/fasttext_zeroshot", exist_ok=True)
 scorer = None
 for d in data:
     ppl_file = f"experiments/results/word_embedding/fasttext_zeroshot/ppl.{d['relation_type'].replace(' ', '_').replace('/', '__')}.jsonl"
 
-    anchor_embeddings = [(a, b) for a, b in d['positive_examples']]
+    anchor_embeddings = [(a, b) for a, b in d['prototypical_examples']]
     option_embeddings = [(x, y) for x, y in d['pairs']]
 
     if not os.path.exists(ppl_file):

experiments/baseline_oracle.py

@@ -2,7 +2,7 @@ from statistics import mean
 import pandas as pd
 from datasets import load_dataset
 
-data = load_dataset("cardiffnlp/relentless_full", split='test')
+data = load_dataset("cardiffnlp/relentless", split='test')
 
 cor = []
 for d in data: