Ban dataset attributes as tensor names

hub/api/tests/test_api.py

@@ -9,6 +9,7 @@
     TensorInvalidSampleShapeError,
     DatasetHandlerError,
     UnsupportedCompressionError,
+    InvalidTensorNameError,
 )
 from hub.constants import MB
 
@@ -647,3 +648,12 @@ def test_dataset_delete():
         assert not os.path.isfile("test/dataset_meta.json")
 
         hub.constants.DELETE_SAFETY_SIZE = old_size
+
+
+def test_invalid_tesnor_name(memory_ds):
+    with pytest.raises(InvalidTensorNameError):
+        memory_ds.create_tensor("meta")
+    with pytest.raises(InvalidTensorNameError):
+        memory_ds.create_tensor("tensors")
+    with pytest.raises(InvalidTensorNameError):
+        memory_ds.create_tensor("info")

hub/core/dataset.py

@@ -25,6 +25,7 @@
     ReadOnlyModeError,
     TensorAlreadyExistsError,
     TensorDoesNotExistError,
+    InvalidTensorNameError,
 )
 from hub.client.client import HubBackendClient
 from hub.client.log import logger
@@ -171,11 +172,14 @@ def create_tensor(
 
         Raises:
             TensorAlreadyExistsError: Duplicate tensors are not allowed.
+            InvalidTensorNameError: If `name` is in dataset attributes.
             NotImplementedError: If trying to override `chunk_compression`.
         """
 
         if tensor_exists(name, self.storage):
             raise TensorAlreadyExistsError(name)
+        if name in vars(self):
+            raise InvalidTensorNameError(name)
 
         # Seperate meta and info
 

hub/util/exceptions.py

@@ -64,6 +64,13 @@ def __init__(self, key: str):
         super().__init__(f"Tensor '{key}' already exists.")
 
 
+class InvalidTensorNameError(Exception):
+    def __init__(self, name: str):
+        super().__init__(
+            f"The use of a reserved attribute '{name}' as a tensor name is invalid."
+        )
+
+
 class DynamicTensorNumpyError(Exception):
     def __init__(self, key: str, index, property_key: str):
         super().__init__(