diff --git a/CHANGELOG.md b/CHANGELOG.md
index b953da7b5..9809996fb 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,5 +1,9 @@
 # Changelog
 
+## 4.23
+- [#294] (https://github.com/cohere-ai/cohere-python/pull/294)
+  - Allow passing of ParseInfo for datasets
+
 ## 4.22
 - [#292] (https://github.com/cohere-ai/cohere-python/pull/292)
   - Add search query only parameter
diff --git a/cohere/client.py b/cohere/client.py
index 1aabbc476..a23e2fcdb 100644
--- a/cohere/client.py
+++ b/cohere/client.py
@@ -42,7 +42,7 @@
     HyperParametersInput,
     ModelMetric,
 )
-from cohere.responses.dataset import BaseDataset, Dataset
+from cohere.responses.dataset import BaseDataset, Dataset, ParseInfo
 from cohere.responses.detectlang import DetectLanguageResponse, Language
 from cohere.responses.embed_job import EmbedJob
 from cohere.responses.embeddings import Embeddings
@@ -753,6 +753,7 @@ def create_dataset(
         dataset_type: str,
         keep_fields: Union[str, List[str]] = None,
         optional_fields: Union[str, List[str]] = None,
+        parse_info: Optional[ParseInfo] = None,
     ) -> Dataset:
         """Returns a Dataset given input data
 
@@ -762,7 +763,7 @@ def create_dataset(
             dataset_type (str): The type of dataset you want to upload
             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
         Returns:
             Dataset: Dataset object.
         """
@@ -773,6 +774,9 @@ def create_dataset(
             "keep_fields": keep_fields,
             "optional_fields": optional_fields,
         }
+        if parse_info:
+            params.update(parse_info.get_params())
+
         logger.warning("uploading file, starting validation...")
         create_response = self._request(cohere.DATASET_URL, files=files, params=params)
         logger.warning(f"{create_response['id']} was uploaded")
diff --git a/cohere/client_async.py b/cohere/client_async.py
index 3e4adb464..e3cb2d9d3 100644
--- a/cohere/client_async.py
+++ b/cohere/client_async.py
@@ -54,7 +54,7 @@
     HyperParametersInput,
     ModelMetric,
 )
-from cohere.responses.dataset import AsyncDataset, BaseDataset
+from cohere.responses.dataset import AsyncDataset, BaseDataset, ParseInfo
 from cohere.responses.embed_job import AsyncEmbedJob
 from cohere.utils import async_wait_for_job, is_api_key_valid, np_json_dumps
 
@@ -491,6 +491,7 @@ async def create_dataset(
         dataset_type: str,
         keep_fields: Union[str, List[str]] = None,
         optional_fields: Union[str, List[str]] = None,
+        parse_info: Optional[ParseInfo] = None,
     ) -> AsyncDataset:
         """Returns a Dataset given input data
 
@@ -500,7 +501,7 @@ async def create_dataset(
             dataset_type (str): The type of dataset you want to upload
             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
         Returns:
             AsyncDataset: Dataset object.
         """
@@ -513,6 +514,8 @@ async def create_dataset(
             params["keep_fields"] = keep_fields
         if optional_fields:
             params["optional_fields"] = optional_fields
+        if parse_info:
+            params.update(parse_info.get_params())
 
         logger.warning("uploading file, starting validation...")
         create_response = await self._request(cohere.DATASET_URL, files=files, params=params)
diff --git a/cohere/responses/dataset.py b/cohere/responses/dataset.py
index 240a5c3cd..5d8600370 100644
--- a/cohere/responses/dataset.py
+++ b/cohere/responses/dataset.py
@@ -1,5 +1,6 @@
 import csv
 import json
+from dataclasses import dataclass
 from datetime import datetime
 from typing import Any, Callable, Dict, List, Optional
 
@@ -141,3 +142,14 @@ async def wait(
         updated_job = await self._wait_fn(dataset_id=self.id, timeout=timeout, interval=interval)
         self._update_self(updated_job)
         return updated_job
+
+
+@dataclass
+class ParseInfo:
+    separator: Optional[str]
+
+    def get_params(self) -> Dict[str, str]:
+        params = {}
+        if self.separator:
+            params["text_separator"] = self.separator
+        return params
diff --git a/pyproject.toml b/pyproject.toml
index 0e12ba497..b9466e9a6 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "cohere"
-version = "4.22"
+version = "4.23"
 description = ""
 authors = ["Cohere"]
 readme = "README.md"