diff --git a/cmflib/commands/artifact/pull.py b/cmflib/commands/artifact/pull.py
index f6025a29..dda0da8c 100644
--- a/cmflib/commands/artifact/pull.py
+++ b/cmflib/commands/artifact/pull.py
@@ -31,40 +31,87 @@
 
 class CmdArtifactPull(CmdBase):
 
-    def split_url_pipeline(self, url: str, pipeline_name: str): 
-        if pipeline_name in url:
+    def split_url_pipeline(self, url: str, pipeline_name: str):
+       # This function takes url and pipeline_name as a input parameter
+       # return string which contains the artifact repo path of the artifact
+       # url = Test-env:/home/user/local-storage/files/md5/23/6d9502e0283d91f689d7038b8508a2
+       # pipeline_name = Test-env
+
+       # checking whether pipeline name exist inside url
+       if pipeline_name in url:
+            # if multiple pipelines logs same artifact, then spliting them using ',' delimiter 
             if "," in url:
                 urls = url.split(",")
+                # iterate over each urls
                 for u in urls:
+                    # assign u to url if pipeline name exist
                     if pipeline_name in u:
                         url = u
+            # splitting url using ':' delimiter token = ["Test-env","home/user/local-storage/files/md5/23/6d9502e508a2"]
             token = url.split(":")
+            # removing 1st element from token i.e pipeline name
+            # output token will be ["home/user/local-storage/files/md5/23/6d9502e508a2"]
             token.pop(0)
             if len(token) > 1:
+                # in case of metrics we have multiple ':' in its url
+                # concating remaining tokens after removing pipeline_name using ':' delimiter
                 token = ":".join(token)
                 return token
             return "".join(token)
 
     def extract_repo_args(self, type: str, name: str, url: str, current_directory: str):
-        #Extracting the repository URL, current path, bucket name, and other relevant 
-        #information from the user-supplied arguments.
-        #url = 'Test-env:/home/user/local-storage/06/d100ff3e04e2c87bf20f0feacc9034,Second-env:/home/user/local-storage/06/d100ff3e04e2c>
+        # Extracting the repository URL, current path, bucket name, and other relevant
+        # information from the user-supplied arguments.
+        # url = Test-env:/home/user/local-storage/files/md5/06/d100ff3e04e2c87bf20f0feacc9034,
+        #          Second-env:/home/user/local-storage/files/md5/06/d100ff3e04e2c"
+
         # s_url = Url without pipeline name
         s_url = self.split_url_pipeline(url, self.args.pipeline_name)
+
+        # got url in the form of /home/user/local-storage/files/md5/06/d100ff3e04e2c
+        #spliting url using '/' delimiter
         token = s_url.split("/")
+
         # name = artifacts/model/model.pkl
         name = name.split(":")[0]
         if type == "minio":
+            token_length = len(token)
+
+            # assigned 2nd position element to bucket_name
             bucket_name = token[2]
-            object_name = token[3] + "/" + token[4]
+
+            # The folder structure of artifact data has been updated due to a change in the DVC 3.0 version
+            # Previously, the structure was dvc-art/23/69v2uu3jeejjeiw
+            # but now it includes additional directories and has become files dvc-art/files/md5/23/69v2uu3jeejjeiw.
+            # Consequently, the previous logic takes only the last 2 elements from the list of tokens,
+            # but with the new structure, it needs to take the last 4 elements.
+
+            # get last 4 element inside token
+            token = token[(token_length-4):]
+
+            # join last 4 token using '/' delimiter
+            object_name = "/".join(token)
+            # output = files/md5/23/69v2uu3jeejjeiw
+
             path_name = current_directory + "/" + name
             return bucket_name, object_name, path_name
+
         elif type == "local":
             token_length = len(token)
             download_loc = current_directory + "/" + name
-            current_dvc_loc = (token[(token_length - 2)] + "/" + token[(token_length - 1)])
+
+            # local artifact repo path =  local-storage/files/md5/23/69v2uu3jeejjeiw.
+
+            # get last 4 element inside token
+            token = token[(token_length-4):]
+
+            # join last 4 token using '/' delimiter
+            current_dvc_loc = "/".join(token)
+
             return current_dvc_loc, download_loc
+
         elif type == "ssh":
+            # comments remaining
             token_var = token[2].split(":")
             host = token_var[0]
             token.pop(0)
@@ -73,25 +120,30 @@ def extract_repo_args(self, type: str, name: str, url: str, current_directory: s
             current_loc_1 = "/".join(token)
             current_loc = f"/{current_loc_1}"
             return host, current_loc, name
+
         else:
             # sometimes s_url is empty - this shouldn't happen technically
             # sometimes s_url is not starting with s3:// - technically this shouldn't happen
             if s_url and s_url.startswith("s3://"):
                 url_with_bucket = s_url.split("s3://")[1]
-                # url_with_bucket = varkha-test/23/6d9502e0283d91f689d7038b8508a2
-                # Splitting the string using '/' as the delimiter
+                # url_with_bucket = mybucket/user/files/md5/23/6d9502e0283d91f689d7038b8508a2
+                # splitting the string using '/' as the delimiter
+                # bucket_name = mybucket
+                # object_name = user/files/md5/23/6d9502e0283d91f689d7038b8508a2
                 bucket_name, object_name = url_with_bucket.split('/', 1)
                 download_loc =  current_directory + "/" + name if current_directory != ""  else name
-                print(download_loc)
+                #print(download_loc)
                 return bucket_name, object_name, download_loc
             else:
                 # returning bucket_name, object_name and download_loc returning as empty
                 return "", "", ""
 
     def search_artifact(self, input_dict):
+        # This function takes input_dict as input artifact
         for name, url in input_dict.items():
             if not isinstance(url, str):
                 continue
+            # splitting name with ':' as the delimiter and store first argument inside name
             name = name.split(":")[0]
             file_name = name.split('/')[-1]
             if file_name == self.args.artifact_name:
@@ -100,7 +152,7 @@ def search_artifact(self, input_dict):
                 pass
 
     def run(self):
-        # Put a check to see whether pipline exists or not
+        # check whether the mlmd file exist or not in current directory
         pipeline_name = self.args.pipeline_name
         current_directory = os.getcwd()
         mlmd_file_name = "./mlmd"
@@ -113,6 +165,7 @@ def run(self):
             return f"ERROR: {mlmd_file_name} doesn't exists in {current_directory} directory."
         query = cmfquery.CmfQuery(mlmd_file_name)
 
+        # getting all pipeline stages[i.e Prepare, Featurize, Train and Evaluate]
         stages = query.get_pipeline_stages(self.args.pipeline_name)
         executions = []
         identifiers = []
@@ -124,11 +177,13 @@ def run(self):
             if len(executions) > 0:
                  # converting it to dictionary
                 dict_executions = executions.to_dict("dict")
+                # append id's of executions inside identifiers
                 for id in dict_executions["id"].values():
                     identifiers.append(id)
             else:
                 print("No Executions found for " + stage + " stage.")
 
+        # created dictionary
         name_url_dict = {}
         if len(identifiers) == 0:  # check if there are no executions
             return "No executions found."
@@ -136,9 +191,9 @@ def run(self):
             get_artifacts = query.get_all_artifacts_for_execution(
                 identifier
             )  # getting all artifacts with id
-            temp_dict = dict(zip(get_artifacts['name'], get_artifacts['url']))
-            name_url_dict.update(temp_dict)
-        #print(name_url_dict)
+            temp_dict = dict(zip(get_artifacts['name'], get_artifacts['url'])) # getting dictionary of name and url pair
+            name_url_dict.update(temp_dict) # updating name_url_dict with temp_dict
+        # print(name_url_dict)
         # name_url_dict = ('artifacts/parsed/test.tsv:6f597d341ceb7d8fbbe88859a892ef81', 'Test-env:/home/sharvark/local-storage/6f/597d341ceb7d8fbbe88859a892ef81'
         # name_url_dict = ('artifacts/parsed/test.tsv:6f597d341ceb7d8fbbe88859a892ef81', 'Test-env:/home/sharvark/local-storage/6f/597d341ceb7d8fbbe88859a892ef81,Second-env:/home/sharvark/local-storage/6f/597d341ceb7d8fbbe88859a892ef81')
 
@@ -241,6 +296,7 @@ def run(self):
             return "Done"
         elif dvc_config_op["core.remote"] == "amazons3":
             amazonS3_class_obj = amazonS3_artifacts.AmazonS3Artifacts()
+            #print(self.args.artifact_name,"artifact name")
             if self.args.artifact_name:
                 output = self.search_artifact(name_url_dict)
                 # output[0] = name
@@ -260,7 +316,6 @@ def run(self):
                         print(stmt)
             else:
                 for name, url in name_url_dict.items():
-                    #print(name, url)
                     if not isinstance(url, str):
                         continue
                     args = self.extract_repo_args("amazons3", name, url, current_directory)
@@ -310,3 +365,4 @@ def add_parser(subparsers, parent_parser):
     )
 
     parser.set_defaults(func=CmdArtifactPull)
+
diff --git a/docs/index.md b/docs/index.md
index e7e8aaee..9249e645 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -7,7 +7,7 @@ models and performance metrics) recorded by the framework are versioned and iden
 ## Installation
 
 #### 1. Pre-Requisites:
-* 3.9>= Python <=3.11
+* 3.9>= Python <=3.10
 * Git latest version
 
 #### 2. Set up Python Virtual Environment:
diff --git a/pyproject.toml b/pyproject.toml
index 90929820..2c783331 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -19,7 +19,7 @@ authors = [
 ]
 description = "Track metadata for AI pipeline"
 readme = "README.md"
-requires-python = ">=3.9,<=3.11"
+requires-python = ">=3.9,<=3.10"
 classifiers = [
     "Programming Language :: Python :: 3",
     "Operating System :: POSIX :: Linux",