Commenting out Regis' code for error printing (for now) to repurpose the script.

failed_run.py

@@ -31,14 +31,14 @@ dataset = load_dataset("EnergyStarAI/requests_debug", split="test", token=TOKEN)
 # Set benchmark to failed
 dataset.loc[dataset["model"].isin(args.model_name), ['status']] = "FAILED"
 
-# Read error message
-with open(f"{args.run_dir}/error.log", 'r') as file:
-    error_message = file.read()
-
-# Add a new column for the error message if necessary
-if "error_message" not in dataset.columns:
-    dataset["error_message"] = ""
-dataset.loc[dataset["model"].isin(args.model_name), ['error_message']] = error_message
+## Read error message
+# with open(f"{args.run_dir}/error.log", 'r') as file:
+#   error_message = file.read()
+#
+## Add a new column for the error message if necessary
+#if "error_message" not in dataset.columns:
+#    dataset["error_message"] = ""
+#dataset.loc[dataset["model"].isin(args.model_name), ['error_message']] = error_message
 
 updated_dataset = Dataset.from_pandas(dataset)
 updated_dataset.push_to_hub("EnergyStarAI/requests_debug", split="test", token=TOKEN)