Add 'gated' search parameter

src/huggingface_hub/hf_api.py

@@ -1595,6 +1595,7 @@ def list_models(
         # Search-query parameter
         filter: Union[str, Iterable[str], None] = None,
         author: Optional[str] = None,
+        gated: Optional[bool] = None,
         library: Optional[Union[str, List[str]]] = None,
         language: Optional[Union[str, List[str]]] = None,
         model_name: Optional[str] = None,
@@ -1624,6 +1625,10 @@ def list_models(
             author (`str`, *optional*):
                 A string which identify the author (user or organization) of the
                 returned models
+            gated (`bool`, *optional*):
+                A boolean to filter models on the Hub that are gated or not. By default, all models are returned.
+                If `gated=True` is passed, only gated models are returned.
+                If `gated=False` is passed, only non-gated models are returned.
             library (`str` or `List`, *optional*):
                 A string or list of strings of foundational libraries models were
                 originally trained from, such as pytorch, tensorflow, or allennlp.
@@ -1749,6 +1754,8 @@ def list_models(
         # Handle other query params
         if author:
             params["author"] = author
+        if gated is not None:
+            params["gated"] = gated
         if pipeline_tag:
             params["pipeline_tag"] = pipeline_tag
         search_list = []
@@ -1795,6 +1802,7 @@ def list_datasets(
         author: Optional[str] = None,
         benchmark: Optional[Union[str, List[str]]] = None,
         dataset_name: Optional[str] = None,
+        gated: Optional[bool] = None,
         language_creators: Optional[Union[str, List[str]]] = None,
         language: Optional[Union[str, List[str]]] = None,
         multilinguality: Optional[Union[str, List[str]]] = None,
@@ -1826,6 +1834,10 @@ def list_datasets(
             dataset_name (`str`, *optional*):
                 A string or list of strings that can be used to identify datasets on
                 the Hub by its name, such as `SQAC` or `wikineural`
+            gated (`bool`, *optional*):
+                A boolean to filter datasets on the Hub that are gated or not. By default, all datasets are returned.
+                If `gated=True` is passed, only gated datasets are returned.
+                If `gated=False` is passed, only non-gated datasets are returned.
             language_creators (`str` or `List`, *optional*):
                 A string or list of strings that can be used to identify datasets on
                 the Hub with how the data was curated, such as `crowdsourced` or
@@ -1954,6 +1966,8 @@ def list_datasets(
         # Handle other query params
         if author:
             params["author"] = author
+        if gated is not None:
+            params["gated"] = gated
         search_list = []
         if dataset_name:
             search_list.append(dataset_name)

tests/test_hf_api.py

@@ -1785,6 +1785,14 @@ def test_list_models_expand_cannot_be_used_with_other_params(self):
         with self.assertRaises(ValueError):
             next(self._api.list_models(expand=["author"], cardData=True))
 
+    def test_list_models_gated_only(self):
+        for model in self._api.list_models(expand=["gated"], gated=True, limit=5):
+            assert model.gated in ("auto", "manual")
+
+    def test_list_models_non_gated_only(self):
+        for model in self._api.list_models(expand=["gated"], gated=False, limit=5):
+            assert model.gated is False
+
     def test_model_info(self):
         model = self._api.model_info(repo_id=DUMMY_MODEL_ID)
         self.assertIsInstance(model, ModelInfo)
@@ -2009,6 +2017,14 @@ def test_list_datasets_expand_cannot_be_used_with_full(self):
         with self.assertRaises(ValueError):
             next(self._api.list_datasets(expand=["author"], full=True))
 
+    def test_list_datasets_gated_only(self):
+        for dataset in self._api.list_datasets(expand=["gated"], gated=True, limit=5):
+            assert dataset.gated in ("auto", "manual")
+
+    def test_list_datasets_non_gated_only(self):
+        for dataset in self._api.list_datasets(expand=["gated"], gated=False, limit=5):
+            assert dataset.gated is False
+
     def test_filter_datasets_with_card_data(self):
         assert any(dataset.card_data is not None for dataset in self._api.list_datasets(full=True, limit=50))
         assert all(dataset.card_data is None for dataset in self._api.list_datasets(full=False, limit=50))