diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml
index f4618f6b3..146fb4aa2 100644
--- a/.github/workflows/lint.yml
+++ b/.github/workflows/lint.yml
@@ -54,8 +54,10 @@ jobs:
           pip3 install --pre torch -f "${{ steps.pytorch_channel.outputs.value }}"
       - name: Install dependencies
         run: |
+
+          pip3 install requests mypy==0.990 graphviz numpy
           pip3 install -r requirements.txt
-          pip3 install mypy==0.960 numpy types-requests
+
       - name: Build TorchData
         run: |
           pip3 install .
@@ -66,7 +68,7 @@ jobs:
         run: |
           set -eux
           STATUS=
-          if ! mypy --config=mypy.ini; then
+          if ! mypy --config=mypy.ini --enable-recursive-aliases --install-types --non-interactive; then
             STATUS=fail
           fi
           if [ -n "$STATUS" ]; then
diff --git a/torchdata/datapipes/iter/util/randomsplitter.py b/torchdata/datapipes/iter/util/randomsplitter.py
index 2608f93c8..c2cfd3027 100644
--- a/torchdata/datapipes/iter/util/randomsplitter.py
+++ b/torchdata/datapipes/iter/util/randomsplitter.py
@@ -101,7 +101,7 @@ def __init__(
         self._rng = random.Random(self._seed)
         self._lengths: List[int] = []
 
-    def draw(self) -> T:
+    def draw(self) -> T:  # type: ignore
         selected_key = self._rng.choices(self.keys, self.weights)[0]
         index = self.key_to_index[selected_key]
         self.weights[index] -= 1
diff --git a/torchdata/datapipes/iter/util/tfrecordloader.py b/torchdata/datapipes/iter/util/tfrecordloader.py
index 8ad5ea101..914ab5ab6 100644
--- a/torchdata/datapipes/iter/util/tfrecordloader.py
+++ b/torchdata/datapipes/iter/util/tfrecordloader.py
@@ -45,7 +45,7 @@ def prod(xs):  # type: ignore[no-redef]
 #  Note, reccursive types not supported by mypy at the moment
 # TODO(640): uncomment as soon as it becomes supported
 #  https://github.com/python/mypy/issues/731
-#  BinaryData = Union[str, List['BinaryData']]
+BinaryData = Union[str, List["BinaryData"]]
 TFRecordBinaryData = Union[str, List[str], List[List[str]], List[List[List[Any]]]]
 TFRecordExampleFeature = Union[torch.Tensor, List[torch.Tensor], TFRecordBinaryData]
 TFRecordExample = Dict[str, TFRecordExampleFeature]