diff --git a/monai/data/dataset.py b/monai/data/dataset.py
index 156708c7dd..adcfad360f 100644
--- a/monai/data/dataset.py
+++ b/monai/data/dataset.py
@@ -1342,6 +1342,7 @@ class CSVDataset(Dataset):
             be the new column name, the `value` is the names of columns to combine. for example:
             `col_groups={"ehr": [f"ehr_{i}" for i in range(10)], "meta": ["meta_1", "meta_2"]}`
         transform: transform to apply on the loaded items of a dictionary data.
+        kwargs_read_csv: dictionary args to pass to pandas `read_csv` function.
         kwargs: additional arguments for `pandas.merge()` API to join tables.
 
     .. deprecated:: 0.8.0
@@ -1358,13 +1359,14 @@ def __init__(
         col_types: Optional[Dict[str, Optional[Dict[str, Any]]]] = None,
         col_groups: Optional[Dict[str, Sequence[str]]] = None,
         transform: Optional[Callable] = None,
+        kwargs_read_csv: Optional[Dict] = None,
         **kwargs,
     ):
         srcs = (src,) if not isinstance(src, (tuple, list)) else src
         dfs: List = []
         for i in srcs:
             if isinstance(i, str):
-                dfs.append(pd.read_csv(i))
+                dfs.append(pd.read_csv(i, **kwargs_read_csv) if kwargs_read_csv else pd.read_csv(i))
             elif isinstance(i, pd.DataFrame):
                 dfs.append(i)
             else:
diff --git a/monai/data/iterable_dataset.py b/monai/data/iterable_dataset.py
index 19efc925fc..957d0e8a56 100644
--- a/monai/data/iterable_dataset.py
+++ b/monai/data/iterable_dataset.py
@@ -176,6 +176,7 @@ class CSVIterableDataset(IterableDataset):
         seed: random seed to initialize the random state for all the workers if `shuffle` is True,
             set `seed += 1` in every iter() call, refer to the PyTorch idea:
             https://github.com/pytorch/pytorch/blob/v1.10.0/torch/utils/data/distributed.py#L98.
+        kwargs_read_csv: dictionary args to pass to pandas `read_csv` function. Default to ``{"chunksize", chunksize}``.
         kwargs: additional arguments for `pandas.merge()` API to join tables.
 
     .. deprecated:: 0.8.0
@@ -195,6 +196,7 @@ def __init__(
         transform: Optional[Callable] = None,
         shuffle: bool = False,
         seed: int = 0,
+        kwargs_read_csv: Optional[Dict] = None,
         **kwargs,
     ):
         self.src = src
@@ -205,6 +207,7 @@ def __init__(
         self.col_groups = col_groups
         self.shuffle = shuffle
         self.seed = seed
+        self.kwargs_read_csv = kwargs_read_csv or {"chunksize", chunksize}
         # in case treating deprecated arg `filename` as kwargs, remove it from `kwargs`
         kwargs.pop("filename", None)
         self.kwargs = kwargs
@@ -230,7 +233,7 @@ def reset(self, src: Optional[Union[Union[str, Sequence[str]], Union[Iterable, S
         self.iters = []
         for i in srcs:
             if isinstance(i, str):
-                self.iters.append(pd.read_csv(i, chunksize=self.chunksize))
+                self.iters.append(pd.read_csv(i, **self.kwargs_read_csv))
             elif isinstance(i, Iterable):
                 self.iters.append(i)
             else: