init

experiments/baseline_lm_lc.py

@@ -14,7 +14,7 @@ prompt_dict = {
     "is influenced by": "Complete the following list with examples of what has influenced different entities",
     "is similar to": "Complete the following list with examples of entities that are similar"
 }
-data = load_dataset("cardiffnlp/relentless_full", split="test")
+data = load_dataset("cardiffnlp/relentless", split="test")
 full_result = []
 for lm, ppl_class, batch, pretty_name in [
     ("t5-small", EncoderDecoderLM, 256, "T5\textsubscript{SMALL}"),
@@ -40,7 +40,7 @@ for lm, ppl_class, batch, pretty_name in [
     ("facebook/opt-iml-30b", LM, 1, "OPT-IML\textsubscript{30B}"),
     ("facebook/opt-iml-max-1.3b", LM, 1, "OPT-IML\textsubscript{MAX-1.3B}"),
     ("facebook/opt-iml-max-30b", LM, 1, "OPT-IML\textsubscript{MAX-30B}"),
-    ("davinci", OpenAI, None, "GPT-3\textsubscript{davinci}")
+    # ("davinci", OpenAI, None, "GPT-3\textsubscript{davinci}")
 ]:
     os.makedirs(f"experiments/results/lm_lc/{os.path.basename(lm)}", exist_ok=True)
     scorer = None

experiments/baseline_lm_qa.py

@@ -14,7 +14,7 @@ prompt_dict = {
     "is influenced by": "what has influenced different entities",
     "is similar to": "examples of entities that are similar"
 }
-data = load_dataset("cardiffnlp/relentless_full", split="test")
+data = load_dataset("cardiffnlp/relentless", split="test")
 full_result = []
 for lm, ppl_class, batch, pretty_name in [
     ("t5-small", EncoderDecoderLM, 256, "T5\textsubscript{SMALL}"),