Reformat Markdown code blocks (#140)

docs/dataset.md

@@ -23,7 +23,7 @@ credentials = {"api_key": "<YOUR-API-KEY>"}
 client = HUBClient(credentials)
 
 # Fetch a dataset by ID
-dataset = client.dataset('<Dataset ID>')  # Replace with your actual Dataset ID
+dataset = client.dataset("<Dataset ID>")  # Replace with your actual Dataset ID
 print(dataset.data)  # This prints the dataset information
 ```
 
@@ -75,7 +75,7 @@ credentials = {"api_key": "<YOUR-API-KEY>"}
 client = HUBClient(credentials)
 
 # Select the dataset by its ID
-dataset = client.dataset('<Dataset ID>')  # Ensure the Dataset ID is specified
+dataset = client.dataset("<Dataset ID>")  # Ensure the Dataset ID is specified
 
 # Delete the dataset
 dataset.delete()
@@ -115,8 +115,8 @@ from hub_sdk import HUBClient
 credentials = {"api_key": "<YOUR-API-KEY>"}
 client = HUBClient(credentials)
 
-# Define the dataset ID for which you want a download link 
-dataset = client.dataset("<Dataset ID>")    # Don't forget to replace Dataset ID with the actual dataset ID
+# Define the dataset ID for which you want a download link
+dataset = client.dataset("<Dataset ID>")  # Don't forget to replace Dataset ID with the actual dataset ID
 
 # Retrieve the URL for downloading dataset contents
 url = dataset.get_download_link()
@@ -134,7 +134,7 @@ credentials = {"api_key": "<YOUR-API-KEY>"}
 client = HUBClient(credentials)
 
 # Select the dataset
-dataset = client.dataset("<Dataset ID>")    # Substitute with the real dataset ID
+dataset = client.dataset("<Dataset ID>")  # Substitute with the real dataset ID
 
 # Upload the dataset file
 dataset.upload_dataset(file="<Dataset File>")  # Make sure to specify the correct file path

docs/index.md

@@ -64,7 +64,7 @@ Now that your credentials are prepared, initiate your `HUBClient`:
         ```python
         from hub_sdk import HUBClient
 
-        credentials = {"api_key": "<YOUR-API-KEY>"} # api key
+        credentials = {"api_key": "<YOUR-API-KEY>"}  # api key
         client = HUBClient(credentials)
         ```
 

docs/model.md

@@ -48,16 +48,16 @@ client = HUBClient(credentials)
 
 data = {
     "meta": {"name": "sdk model"},  # Give your model a recognizable name
-    "projectId": project.id,        # Associate with an existing project
-    "datasetId": dataset.id,        # Associate with an existing dataset
-    "config": {                     # Define hyperparameters and settings
-        "batchSize": "-1",          
+    "projectId": project.id,  # Associate with an existing project
+    "datasetId": dataset.id,  # Associate with an existing dataset
+    "config": {  # Define hyperparameters and settings
+        "batchSize": "-1",
         "cache": "ram",
         "device": "name",
         "epochs": "5",
         "imageSize": "640",
-        "patience": "5"             # Stop training if validation doesn't improve
-    }
+        "patience": "5",  # Stop training if validation doesn't improve
+    },
 }
 model = client.model()
 model.create_model(data)  # Creates the model with your specified details
@@ -159,7 +159,7 @@ credentials = {"api_key": "<YOUR-API-KEY>"}
 client = HUBClient(credentials)
 
 model = client.model("<Model ID>")
-weight_url = model.get_weights_url("best")  # Retrieves the URL for the model's optimal checkpoint weights. By default, it returns the URL for the best weights. To obtain the most recent weights, specify 'last.
+weight_url = model.get_weights_url("best") # or "last"
 print("Weight URL link:", weight_url)  # Prints out the weight url link
 ```
 

docs/project.md

@@ -15,10 +15,10 @@ When you already have a project hosted on the Ultralytics platform, you may want
 ```python
 from hub_sdk import HUBClient
 
-credentials = {"api_key": "<YOUR-API-KEY>"} # api key
+credentials = {"api_key": "<YOUR-API-KEY>"}  # api key
 client = HUBClient(credentials)
 
-project = client.project('<Project ID>')  # Replace '<Project ID>' with your actual project ID
+project = client.project("<Project ID>")  # Replace '<Project ID>' with your actual project ID
 print(project.data)
 ```
 
@@ -29,7 +29,7 @@ Are you starting a fresh ML project? Fantastic! The following Python code outlin
 ```python
 from hub_sdk import HUBClient
 
-credentials = {"api_key": "<YOUR-API-KEY>"} # api key
+credentials = {"api_key": "<YOUR-API-KEY>"}  # api key
 client = HUBClient(credentials)
 
 data = {"meta": {"name": "my project"}}  # Name your project
@@ -44,10 +44,10 @@ Update your project's metadata with ease by specifying the project ID and the ne
 ```python
 from hub_sdk import HUBClient
 
-credentials = {"api_key": "<YOUR-API-KEY>"} # api key
+credentials = {"api_key": "<YOUR-API-KEY>"}  # api key
 client = HUBClient(credentials)
 
-project = client.project('<Project ID>')  # Provide your actual project ID here
+project = client.project("<Project ID>")  # Provide your actual project ID here
 project.update({"meta": {"name": "Project name update"}})  # Update the project's name or other metadata
 ```
 
@@ -58,7 +58,7 @@ If you no longer require a project and wish to delete it from the Ultralytics pl
 ```python
 from hub_sdk import HUBClient
 
-credentials = {"api_key": "<YOUR-API-KEY>"} # api key
+credentials = {"api_key": "<YOUR-API-KEY>"}  # api key
 client = HUBClient(credentials)
 
 project = client.project("<Project ID>")  # Input the project ID for the project to delete
@@ -72,7 +72,7 @@ In some cases, you may want to browse through your projects or even check out pu
 ```python
 from hub_sdk import HUBClient
 
-credentials = {"api_key": "<YOUR-API-KEY>"} # api key
+credentials = {"api_key": "<YOUR-API-KEY>"}  # api key
 client = HUBClient(credentials)
 
 projects = client.project_list(page_size=10)  # Fetch a list of projects with specified page size

docs/quickstart.md

@@ -69,7 +69,7 @@ Finally, create the HUBClient object with your selected credential method:
         ```python
         from hub_sdk import HUBClient
 
-        credentials = {"api_key": "<YOUR-API-KEY>"} # api key
+        credentials = {"api_key": "<YOUR-API-KEY>"}  # api key
         client = HUBClient(credentials)
         ```