diff --git a/CHANGELOG.md b/CHANGELOG.md
index 549142418..16fa33b43 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,9 @@
 # Changelog
 
+## 4.25 
+- [#303] (https://github.com/cohere-ai/cohere-python/pull/303)
+  - Allow uploading of evaluation data
+
 ## 4.24
 - [#296] (https://github.com/cohere-ai/cohere-python/pull/296)
   - Allow passing of delimiter for csv
diff --git a/cohere/client.py b/cohere/client.py
index a23e2fcdb..47dfcd2d5 100644
--- a/cohere/client.py
+++ b/cohere/client.py
@@ -751,6 +751,7 @@ def create_dataset(
         name: str,
         data: BinaryIO,
         dataset_type: str,
+        eval_data: Optional[BinaryIO] = None,
         keep_fields: Union[str, List[str]] = None,
         optional_fields: Union[str, List[str]] = None,
         parse_info: Optional[ParseInfo] = None,
@@ -761,6 +762,7 @@ def create_dataset(
             name (str): The name of your dataset
             data (BinaryIO): The data to be uploaded and validated
             dataset_type (str): The type of dataset you want to upload
+            eval_data (BinaryIO): (optional) If the dataset type supports it upload evaluation data
             keep_fields (Union[str, List[str]]): (optional) A list of fields you want to keep in the dataset that are required
             optional_fields (Union[str, List[str]]): (optional) A list of fields you want to keep in the dataset that are optional
             parse_info: ParseInfo: (optional) information on how to parse the raw data
@@ -768,6 +770,8 @@ def create_dataset(
             Dataset: Dataset object.
         """
         files = {"file": data}
+        if eval_data:
+            files["eval_file"] = eval_data
         params = {
             "name": name,
             "type": dataset_type,
diff --git a/cohere/client_async.py b/cohere/client_async.py
index e3cb2d9d3..ff983d55c 100644
--- a/cohere/client_async.py
+++ b/cohere/client_async.py
@@ -489,6 +489,7 @@ async def create_dataset(
         name: str,
         data: BinaryIO,
         dataset_type: str,
+        eval_data: Optional[BinaryIO] = None,
         keep_fields: Union[str, List[str]] = None,
         optional_fields: Union[str, List[str]] = None,
         parse_info: Optional[ParseInfo] = None,
@@ -499,6 +500,7 @@ async def create_dataset(
             name (str): The name of your dataset
             data (BinaryIO): The data to be uploaded and validated
             dataset_type (str): The type of dataset you want to upload
+            eval_data (BinaryIO): (optional) If the dataset type supports it upload evaluation data
             keep_fields (Union[str, List[str]]): (optional) A list of fields you want to keep in the dataset that are required
             optional_fields (Union[str, List[str]]): (optional) A list of fields you want to keep in the dataset that are optional
             parse_info: ParseInfo: (optional) information on how to parse the raw data
@@ -506,6 +508,8 @@ async def create_dataset(
             AsyncDataset: Dataset object.
         """
         files = {"file": data}
+        if eval_data:
+            files["eval_file"] = eval_data
         params = {
             "name": name,
             "type": dataset_type,
diff --git a/pyproject.toml b/pyproject.toml
index 252606212..7d9b456eb 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "cohere"
-version = "4.24"
+version = "4.25"
 description = ""
 authors = ["Cohere"]
 readme = "README.md"