diff --git a/src/openlayer/lib/core/base_model.py b/src/openlayer/lib/core/base_model.py
index 306526ff..e847e2bd 100644
--- a/src/openlayer/lib/core/base_model.py
+++ b/src/openlayer/lib/core/base_model.py
@@ -42,7 +42,9 @@ class OpenlayerModel(abc.ABC):
def run_from_cli(self) -> None:
"""Run the model from the command line."""
parser = argparse.ArgumentParser(description="Run data through a model.")
- parser.add_argument("--dataset-path", type=str, required=True, help="Path to the dataset")
+ parser.add_argument(
+ "--dataset-path", type=str, required=True, help="Path to the dataset"
+ )
parser.add_argument(
"--output-dir",
type=str,
@@ -85,7 +87,9 @@ def run_batch_from_df(self, df: pd.DataFrame) -> Tuple[pd.DataFrame, dict]:
# Filter row_dict to only include keys that are valid parameters
# for the 'run' method
row_dict = row.to_dict()
- filtered_kwargs = {k: v for k, v in row_dict.items() if k in run_signature.parameters}
+ filtered_kwargs = {
+ k: v for k, v in row_dict.items() if k in run_signature.parameters
+ }
# Call the run method with filtered kwargs
output = self.run(**filtered_kwargs)
@@ -108,7 +112,8 @@ def run_batch_from_df(self, df: pd.DataFrame) -> Tuple[pd.DataFrame, dict]:
if "tokens" in processed_trace:
df.at[index, "tokens"] = processed_trace["tokens"]
if "context" in processed_trace:
- df.at[index, "context"] = processed_trace["context"]
+ # Convert the context list to a string to avoid pandas issues
+ df.at[index, "context"] = json.dumps(processed_trace["context"])
config = {
"outputColumnName": "output",
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