diff --git a/src/llama_stack/providers/inline/scoring/basic/scoring.py b/src/llama_stack/providers/inline/scoring/basic/scoring.py
index cf5cb79ba..55ce5ee8b 100644
--- a/src/llama_stack/providers/inline/scoring/basic/scoring.py
+++ b/src/llama_stack/providers/inline/scoring/basic/scoring.py
@@ -5,11 +5,6 @@
 # the root directory of this source tree.
 from typing import Any
 
-from llama_stack.core.datatypes import Api
-from llama_stack.providers.utils.common.data_schema_validator import (
-    get_valid_schemas,
-    validate_dataset_schema,
-)
 from llama_stack_api import (
     DatasetIO,
     Datasets,
@@ -84,9 +79,6 @@ class BasicScoringImpl(
         scoring_functions: dict[str, ScoringFnParams | None] = None,
         save_results_dataset: bool = False,
     ) -> ScoreBatchResponse:
-        dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id)
-        validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.scoring.value))
-
         all_rows = await self.datasetio_api.iterrows(
             dataset_id=dataset_id,
             limit=-1,
diff --git a/src/llama_stack/providers/inline/scoring/braintrust/braintrust.py b/src/llama_stack/providers/inline/scoring/braintrust/braintrust.py
index cfa35547b..0fa10f208 100644
--- a/src/llama_stack/providers/inline/scoring/braintrust/braintrust.py
+++ b/src/llama_stack/providers/inline/scoring/braintrust/braintrust.py
@@ -23,7 +23,6 @@ from llama_stack.core.datatypes import Api
 from llama_stack.core.request_headers import NeedsRequestProviderData
 from llama_stack.providers.utils.common.data_schema_validator import (
     get_valid_schemas,
-    validate_dataset_schema,
     validate_row_schema,
 )
 from llama_stack.providers.utils.scoring.aggregation_utils import aggregate_metrics
@@ -165,9 +164,6 @@ class BraintrustScoringImpl(
     ) -> ScoreBatchResponse:
         await self.set_api_key()
 
-        dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id)
-        validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.scoring.value))
-
         all_rows = await self.datasetio_api.iterrows(
             dataset_id=dataset_id,
             limit=-1,
diff --git a/src/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py b/src/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py
index 23e6ad705..afa22082a 100644
--- a/src/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py
+++ b/src/llama_stack/providers/inline/scoring/llm_as_judge/scoring.py
@@ -5,11 +5,6 @@
 # the root directory of this source tree.
 from typing import Any
 
-from llama_stack.core.datatypes import Api
-from llama_stack.providers.utils.common.data_schema_validator import (
-    get_valid_schemas,
-    validate_dataset_schema,
-)
 from llama_stack_api import (
     DatasetIO,
     Datasets,
@@ -73,9 +68,6 @@ class LlmAsJudgeScoringImpl(
         scoring_functions: dict[str, ScoringFnParams | None] = None,
         save_results_dataset: bool = False,
     ) -> ScoreBatchResponse:
-        dataset_def = await self.datasets_api.get_dataset(dataset_id=dataset_id)
-        validate_dataset_schema(dataset_def.dataset_schema, get_valid_schemas(Api.scoring.value))
-
         all_rows = await self.datasetio_api.iterrows(
             dataset_id=dataset_id,
             limit=-1,