diff --git a/src/evidently/calculation_engine/engine.py b/src/evidently/calculation_engine/engine.py
index 5b115ca284..e3cad0772b 100644
--- a/src/evidently/calculation_engine/engine.py
+++ b/src/evidently/calculation_engine/engine.py
@@ -16,6 +16,8 @@
 from evidently.base_metric import Metric
 from evidently.base_metric import MetricResult
 from evidently.calculation_engine.metric_implementation import MetricImplementation
+from evidently.features.generated_features import GeneratedFeature
+from evidently.utils.data_preprocessing import DataDefinition
 
 TMetricImplementation = TypeVar("TMetricImplementation", bound=MetricImplementation)
 TInputData = TypeVar("TInputData")
@@ -90,6 +92,14 @@ def get_metric_execution_iterator(self) -> List[Tuple[Metric, TMetricImplementat
 
         return [(metric, self.get_metric_implementation(metric_to_calculations[metric])) for metric in self.metrics]
 
+    def form_datasets(
+        self,
+        data: Optional[TInputData],
+        features: Optional[Dict[tuple, GeneratedFeature]],
+        data_definition: DataDefinition,
+    ):
+        raise NotImplementedError()
+
 
 def _aggregate_metrics(agg, item):
     agg[type(item)] = agg.get(type(item), []) + [item]
diff --git a/src/evidently/calculation_engine/python_engine.py b/src/evidently/calculation_engine/python_engine.py
index 5d832b2a1f..8a185bf341 100644
--- a/src/evidently/calculation_engine/python_engine.py
+++ b/src/evidently/calculation_engine/python_engine.py
@@ -1,5 +1,6 @@
 import abc
 import logging
+from typing import Dict
 from typing import Generic
 from typing import Optional
 from typing import TypeVar
@@ -12,6 +13,8 @@
 from evidently.base_metric import Metric
 from evidently.calculation_engine.engine import Engine
 from evidently.calculation_engine.metric_implementation import MetricImplementation
+from evidently.features.generated_features import GeneratedFeature
+from evidently.utils.data_preprocessing import DataDefinition
 from evidently.utils.data_preprocessing import create_data_definition
 
 
@@ -98,6 +101,32 @@ def calculate(self, context, data: PythonInputData):
             return _Wrapper(self, metric)
         return impl
 
+    def form_datasets(
+        self,
+        data: Optional[PythonInputData],
+        features: Optional[Dict[tuple, GeneratedFeature]],
+        data_definition: DataDefinition,
+    ):
+        if data is None:
+            return None, None
+        if features is not None:
+            rename = {x.feature_name().name: x.feature_name().display_name for x in features.values()}
+        else:
+            rename = {}
+        current = data.current_data
+        if data.current_additional_features is not None:
+            current = data.current_data.join(data.current_additional_features)
+
+        current = current.rename(columns=rename)
+        reference = data.reference_data
+        if data.reference_data is not None and data.reference_additional_features is not None:
+            reference = data.reference_data.join(data.reference_additional_features)
+
+        if reference is not None:
+            reference = reference.rename(columns=rename)
+
+        return reference, current
+
 
 class PythonMetricImplementation(Generic[TMetric], MetricImplementation):
     def __init__(self, engine: PythonEngine, metric: TMetric):
diff --git a/src/evidently/descriptors/hf_descriptor.py b/src/evidently/descriptors/hf_descriptor.py
index 84fe0e4a0b..4faf5c965d 100644
--- a/src/evidently/descriptors/hf_descriptor.py
+++ b/src/evidently/descriptors/hf_descriptor.py
@@ -27,7 +27,7 @@ def feature(self, column_name: str) -> GeneratedFeature:
         model_str = "" if self.model is None else f"({self.model})"
         return HuggingFaceToxicityFeature(
             column_name=column_name,
-            display_name=f"Hugging Face Toxicity {model_str} for {column_name}",
+            display_name=self.display_name or f"Hugging Face Toxicity {model_str} for {column_name}",
             model=self.model,
             toxic_label=self.toxic_label,
         )
diff --git a/src/evidently/features/generated_features.py b/src/evidently/features/generated_features.py
index 3eb419caf8..587882e928 100644
--- a/src/evidently/features/generated_features.py
+++ b/src/evidently/features/generated_features.py
@@ -61,7 +61,7 @@ def get_parameters(self) -> Optional[tuple]:
             hash(params)
         except TypeError:
             logging.warning(f"unhashable params for {type(self)}. Fallback to unique.")
-            return None
+            return (self.feature_id,)
         return params
 
 
diff --git a/src/evidently/suite/base_suite.py b/src/evidently/suite/base_suite.py
index 5c77d71b92..5acccd0ba2 100644
--- a/src/evidently/suite/base_suite.py
+++ b/src/evidently/suite/base_suite.py
@@ -122,6 +122,9 @@ def get_data_definition(
             )
         return self.data_definition
 
+    def get_datasets(self):
+        return self.engine.form_datasets(self.data, self.features, self.data_definition)
+
 
 class ContextPayload(BaseModel):
     metrics: List[Metric]
@@ -525,4 +528,5 @@ def to_snapshot(self):
         return self._get_snapshot()
 
     def datasets(self):
-        return self._inner_suite.context.data.get_datasets()
+        datasets = self._inner_suite.context.get_datasets()
+        return datasets