diff --git a/src/delta_barth/analysis/parse.py b/src/delta_barth/analysis/parse.py
index 2183365..a3c6df8 100644
--- a/src/delta_barth/analysis/parse.py
+++ b/src/delta_barth/analysis/parse.py
@@ -18,7 +18,7 @@ def _check_needed_features(
 
     if missing_features:
         raise FeaturesMissingError(
-            f"The datset does not contain all needed features: "
+            f"The dataset does not contain all needed features: "
             f"Missing features are: {missing_features}"
         )
 
diff --git a/src/delta_barth/pipelines.py b/src/delta_barth/pipelines.py
index f1d626e..a4aadd5 100644
--- a/src/delta_barth/pipelines.py
+++ b/src/delta_barth/pipelines.py
@@ -4,7 +4,7 @@ from datetime import datetime as Datetime
 
 from delta_barth.analysis import forecast
 from delta_barth.management import SESSION
-from delta_barth.types import JsonExportResponse, JsonResponse, JsonStatus
+from delta_barth.types import JsonExportResponse
 
 
 def pipeline_sales_forecast(
@@ -13,8 +13,6 @@ def pipeline_sales_forecast(
 ) -> JsonExportResponse:
     result = forecast.pipeline_sales(SESSION, company_id=company_id, start_date=start_date)
     export = JsonExportResponse(result.model_dump_json())
-    # response = JsonResponse(result.response.model_dump_json())
-    # status = JsonStatus(result.status.model_dump_json())
 
     return export
 
@@ -29,7 +27,5 @@ def pipeline_sales_forecast_dummy(
         start_date=start_date,
     )
     export = JsonExportResponse(result.model_dump_json())
-    # response = JsonResponse(result.response.model_dump_json())
-    # status = JsonStatus(result.status.model_dump_json())
 
     return export