diff --git a/composer/datasets/ade20k_hparams.py b/composer/datasets/ade20k_hparams.py
index 5da422f3ab..9274787212 100644
--- a/composer/datasets/ade20k_hparams.py
+++ b/composer/datasets/ade20k_hparams.py
@@ -23,7 +23,7 @@
 from composer.datasets.synthetic import SyntheticBatchPairDataset
 from composer.datasets.synthetic_hparams import SyntheticHparamsMixin
 from composer.datasets.utils import NormalizationFn, pil_image_collate
-from composer.utils import dist
+from composer.utils import dist, warn_streaming_dataset_deprecation
 from composer.utils.import_helpers import MissingConditionalImportError
 
 __all__ = ['ADE20kDatasetHparams', 'StreamingADE20kHparams']
@@ -152,9 +152,9 @@ class StreamingADE20kHparams(DatasetHparams):
     """DatasetHparams for creating an instance of StreamingADE20k.
 
     Args:
-        version (int): Which version of streaming to use. Default: ``2``.
+        version (int): Which version of streaming to use. Default: ``1``.
         remote (str): Remote directory (S3 or local filesystem) where dataset is stored.
-            Default: ``'s3://mosaicml-internal-dataset-ade20k/mds/2/```
+            Default: ``'s3://mosaicml-internal-dataset-ade20k/mds/1/```
         local (str): Local filesystem directory where dataset is cached during operation.
             Default: ``'/tmp/mds-cache/mds-ade20k/```
         split (str): The dataset split to use, either 'train' or 'val'. Default: ``'train```.
@@ -166,9 +166,9 @@ class StreamingADE20kHparams(DatasetHparams):
             Default: ``true``.
     """
 
-    version: int = hp.optional('Version of streaming (1 or 2)', default=2)
+    version: int = hp.optional('Version of streaming (1 or 2)', default=1)
     remote: str = hp.optional('Remote directory (S3 or local filesystem) where dataset is stored',
-                              default='s3://mosaicml-internal-dataset-ade20k/mds/2/')
+                              default='s3://mosaicml-internal-dataset-ade20k/mds/1/')
     local: str = hp.optional('Local filesystem directory where dataset is cached during operation',
                              default='/tmp/mds-cache/mds-ade20k/')
     split: str = hp.optional("Which split of the dataset to use. Either ['train', 'val']", default='train')
@@ -180,6 +180,7 @@ class StreamingADE20kHparams(DatasetHparams):
 
     def initialize_object(self, batch_size: int, dataloader_hparams: DataLoaderHparams) -> DataSpec:
         if self.version == 1:
+            warn_streaming_dataset_deprecation(old_version=self.version, new_version=2)
             dataset = StreamingADE20k(remote=self.remote,
                                       local=self.local,
                                       split=self.split,
diff --git a/composer/datasets/c4_hparams.py b/composer/datasets/c4_hparams.py
index 44412338a2..416f8139f1 100644
--- a/composer/datasets/c4_hparams.py
+++ b/composer/datasets/c4_hparams.py
@@ -12,6 +12,7 @@
 from composer.core.data_spec import DataSpec
 from composer.datasets.c4 import C4Dataset, StreamingC4
 from composer.datasets.dataset_hparams import DataLoaderHparams, DatasetHparams
+from composer.utils import warn_streaming_dataset_deprecation
 from composer.utils.import_helpers import MissingConditionalImportError
 
 log = logging.getLogger(__name__)
@@ -24,9 +25,9 @@ class StreamingC4Hparams(DatasetHparams):
     """Builds a :class:`.DataSpec` for the StreamingC4 (Colossal Cleaned Common Crawl) dataset.
 
     Args:
-        version (int): Which version of streaming to use. Default: ``2``.
+        version (int): Which version of streaming to use. Default: ``1``.
         remote (str): Remote directory (S3 or local filesystem) where dataset is stored.
-            Default: ``'s3://mosaicml-internal-dataset-c4/mds/2/'``
+            Default: ``'s3://mosaicml-internal-dataset-c4/mds/1/'``
         local (str): Local filesystem directory where dataset is cached during operation.
             Default: ``'/tmp/mds-cache/mds-c4/'``
         split (str): What split of the dataset to use. Either ``'train'`` or ``'val'``. Default: ``'train'``.
@@ -40,9 +41,9 @@ class StreamingC4Hparams(DatasetHparams):
         timeout (float): How long to wait for shard to download before raising an exception. Default: 120 sec.
     """
 
-    version: int = hp.optional('Version of streaming (1 or 2)', default=2)
+    version: int = hp.optional('Version of streaming (1 or 2)', default=1)
     remote: str = hp.optional('Remote directory (S3 or local filesystem) where dataset is stored',
-                              default='s3://mosaicml-internal-dataset-c4/mds/2/')
+                              default='s3://mosaicml-internal-dataset-c4/mds/1/')
     local: str = hp.optional('Local filesystem directory where dataset is cached during operation',
                              default='/tmp/mds-cache/mds-c4/')
     split: str = hp.optional('What split of the dataset to use. Either `train` or `val`.', default='train')
@@ -76,6 +77,7 @@ def initialize_object(self, batch_size: int, dataloader_hparams: DataLoaderHpara
 
         # Get StreamingC4 dataset
         if self.version == 1:
+            warn_streaming_dataset_deprecation(old_version=self.version, new_version=2)
             dataset = StreamingC4(remote=self.remote,
                                   local=self.local,
                                   split=self.split,
diff --git a/composer/datasets/cifar_hparams.py b/composer/datasets/cifar_hparams.py
index bba29f40d9..9be9c2f73b 100644
--- a/composer/datasets/cifar_hparams.py
+++ b/composer/datasets/cifar_hparams.py
@@ -24,7 +24,7 @@
 from composer.datasets.ffcv_utils import write_ffcv_dataset
 from composer.datasets.synthetic import SyntheticBatchPairDataset
 from composer.datasets.synthetic_hparams import SyntheticHparamsMixin
-from composer.utils import dist
+from composer.utils import dist, warn_streaming_dataset_deprecation
 from composer.utils.import_helpers import MissingConditionalImportError
 
 __all__ = ['CIFAR10DatasetHparams', 'StreamingCIFAR10Hparams']
@@ -185,23 +185,24 @@ class StreamingCIFAR10Hparams(DatasetHparams):
     """Streaming CIFAR10 hyperparameters.
 
     Args:
-        version (int): Which version of streaming to use. Default: ``2``.
+        version (int): Which version of streaming to use. Default: ``1``.
         remote (str): Remote directory (S3 or local filesystem) where dataset is stored.
-            Default: ``'s3://mosaicml-internal-dataset-cifar10/mds/2/'``
+            Default: ``'s3://mosaicml-internal-dataset-cifar10/mds/1/'``
         local (str): Local filesystem directory where dataset is cached during operation.
             Default: ``'/tmp/mds-cache/mds-cifar10/'``
         split (str): The dataset split to use, either 'train' or 'val'. Default: ``'train'``.
     """
 
-    version: int = hp.optional('Version of streaming (1 or 2)', default=2)
+    version: int = hp.optional('Version of streaming (1 or 2)', default=1)
     remote: str = hp.optional('Remote directory (S3 or local filesystem) where dataset is stored',
-                              default='s3://mosaicml-internal-dataset-cifar10/mds/2/')
+                              default='s3://mosaicml-internal-dataset-cifar10/mds/1/')
     local: str = hp.optional('Local filesystem directory where dataset is cached during operation',
                              default='/tmp/mds-cache/mds-cifar10/')
     split: str = hp.optional("Which split of the dataset to use. Either ['train', 'val']", default='train')
 
     def initialize_object(self, batch_size: int, dataloader_hparams: DataLoaderHparams) -> DataLoader:
         if self.version == 1:
+            warn_streaming_dataset_deprecation(old_version=self.version, new_version=2)
             dataset = StreamingCIFAR10(remote=self.remote,
                                        local=self.local,
                                        split=self.split,
diff --git a/composer/datasets/coco_hparams.py b/composer/datasets/coco_hparams.py
index e1719314f5..5cef0d88f3 100644
--- a/composer/datasets/coco_hparams.py
+++ b/composer/datasets/coco_hparams.py
@@ -12,7 +12,7 @@
 from composer.datasets.coco import COCODetection, StreamingCOCO, split_dict_fn
 from composer.datasets.dataset_hparams import DataLoaderHparams, DatasetHparams
 from composer.models.ssd.utils import SSDTransformer, dboxes300_coco
-from composer.utils import dist
+from composer.utils import dist, warn_streaming_dataset_deprecation
 from composer.utils.import_helpers import MissingConditionalImportError
 
 __all__ = ['COCODatasetHparams', 'StreamingCOCOHparams']
@@ -75,23 +75,24 @@ class StreamingCOCOHparams(DatasetHparams):
     """DatasetHparams for creating an instance of StreamingCOCO.
 
     Args:
-        version (int): Which version of streaming to use. Default: ``2``.
+        version (int): Which version of streaming to use. Default: ``1``.
         remote (str): Remote directory (S3 or local filesystem) where dataset is stored.
-            Default: ``'s3://mosaicml-internal-dataset-coco/mds/2/```
+            Default: ``'s3://mosaicml-internal-dataset-coco/mds/1/```
         local (str): Local filesystem directory where dataset is cached during operation.
             Default: ``'/tmp/mds-cache/mds-coco/```
         split (str): The dataset split to use, either 'train' or 'val'. Default: ``'train```.
     """
 
-    version: int = hp.optional('Version of streaming (1 or 2)', default=2)
+    version: int = hp.optional('Version of streaming (1 or 2)', default=1)
     remote: str = hp.optional('Remote directory (S3 or local filesystem) where dataset is stored',
-                              default='s3://mosaicml-internal-dataset-coco/mds/2/')
+                              default='s3://mosaicml-internal-dataset-coco/mds/1/')
     local: str = hp.optional('Local filesystem directory where dataset is cached during operation',
                              default='/tmp/mds-cache/mds-coco/')
     split: str = hp.optional("Which split of the dataset to use. Either ['train', 'val']", default='train')
 
     def initialize_object(self, batch_size: int, dataloader_hparams: DataLoaderHparams):
         if self.version == 1:
+            warn_streaming_dataset_deprecation(old_version=self.version, new_version=2)
             dataset = StreamingCOCO(remote=self.remote,
                                     local=self.local,
                                     split=self.split,
diff --git a/composer/datasets/imagenet_hparams.py b/composer/datasets/imagenet_hparams.py
index baaffc4070..738f54ce9b 100644
--- a/composer/datasets/imagenet_hparams.py
+++ b/composer/datasets/imagenet_hparams.py
@@ -26,7 +26,7 @@
 from composer.datasets.synthetic import SyntheticBatchPairDataset
 from composer.datasets.synthetic_hparams import SyntheticHparamsMixin
 from composer.datasets.utils import NormalizationFn, pil_image_collate
-from composer.utils import dist
+from composer.utils import dist, warn_streaming_dataset_deprecation
 from composer.utils.import_helpers import MissingConditionalImportError
 
 # ImageNet normalization values from torchvision: https://pytorch.org/vision/stable/models.html
@@ -212,9 +212,9 @@ class StreamingImageNet1kHparams(DatasetHparams):
     """DatasetHparams for creating an instance of StreamingImageNet1k.
 
     Args:
-        version (int): Which version of streaming to use. Default: ``2``.
+        version (int): Which version of streaming to use. Default: ``1``.
         remote (str): Remote directory (S3 or local filesystem) where dataset is stored.
-            Default: ``'s3://mosaicml-internal-dataset-imagenet1k/mds/2/```
+            Default: ``'s3://mosaicml-internal-dataset-imagenet1k/mds/1/```
         local (str): Local filesystem directory where dataset is cached during operation.
             Default: ``'/tmp/mds-cache/mds-imagenet1k/```
         split (str): The dataset split to use, either 'train' or 'val'. Default: ``'train```.
@@ -222,9 +222,9 @@ class StreamingImageNet1kHparams(DatasetHparams):
         crop size (int): The crop size to use. Default: ``224``.
     """
 
-    version: int = hp.optional('Version of streaming (1 or 2)', default=2)
+    version: int = hp.optional('Version of streaming (1 or 2)', default=1)
     remote: str = hp.optional('Remote directory (S3 or local filesystem) where dataset is stored',
-                              default='s3://mosaicml-internal-dataset-imagenet1k/mds/2/')
+                              default='s3://mosaicml-internal-dataset-imagenet1k/mds/1/')
     local: str = hp.optional('Local filesystem directory where dataset is cached during operation',
                              default='/tmp/mds-cache/mds-imagenet1k/')
     split: str = hp.optional("Which split of the dataset to use. Either ['train', 'val']", default='train')
@@ -233,6 +233,7 @@ class StreamingImageNet1kHparams(DatasetHparams):
 
     def initialize_object(self, batch_size: int, dataloader_hparams: DataLoaderHparams) -> DataSpec:
         if self.version == 1:
+            warn_streaming_dataset_deprecation(old_version=self.version, new_version=2)
             dataset = StreamingImageNet1k(remote=self.remote,
                                           local=self.local,
                                           split=self.split,
diff --git a/composer/utils/__init__.py b/composer/utils/__init__.py
index aa0c49ae37..4a4e6a9dbf 100644
--- a/composer/utils/__init__.py
+++ b/composer/utils/__init__.py
@@ -20,11 +20,21 @@
 from composer.utils.string_enum import StringEnum
 
 
-def warn_yahp_deprecation():
+def warn_yahp_deprecation() -> None:
     warnings.warn(
         'yahp-based workflows are deprecated and will be removed in a future release. Please'
         'migrate to using other configuration managers and create the Trainer objects directly.'
-        'v0.10 will be the last release to support yahp.', DeprecationWarning)
+        'v0.10 will be the last release to support yahp.',
+        DeprecationWarning,
+        stacklevel=2)
+
+
+def warn_streaming_dataset_deprecation(old_version: int, new_version: int) -> None:
+    warnings.warn(
+        f'streaming dataset version {old_version} is deprecated and will be removed in the future. '
+        f'Please migrate to using streaming dataset version {new_version}',
+        DeprecationWarning,
+        stacklevel=2)
 
 
 __all__ = [