init

experiments/baseline_relbert.py

@@ -21,14 +21,14 @@ for lm in ['base', 'large']:
     scorer = None
     for d in data:
         ppl_file = f"experiments/results/relbert/relbert-roberta-{lm}/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):
 
             if scorer is None:
                 scorer = RelBERT(f"relbert/relbert-roberta-{lm}")
-            anchor_embeddings = scorer.get_embedding(d['positive_examples'])
+            anchor_embeddings = scorer.get_embedding(d['prototypical_examples'])
             option_embeddings = scorer.get_embedding(d['pairs'], batch_size=64)
             similarity = [[cosine_similarity(a, b) for b in anchor_embeddings] for a in option_embeddings]
             output = [{"similarity": s} for s in similarity]