Small edits (#595)

docs/hyperdatasets/dataviews.md

@@ -504,7 +504,7 @@ my_dataview = DataView.get(dataview_id='12344kg2p3hf8')
 
 Access the Dataview's frames as a python list, dictionary, or through a pythonic iterator.
 
-The [`DataView.to_list`](../references/hyperdataset/dataview.md#to_list) method returns the Dataview queries result as a python list . 	
+The [`DataView.to_list`](../references/hyperdataset/dataview.md#to_list) method returns the Dataview queries result as a python list. 	
 
 The [`DataView.to_dict`](../references/hyperdataset/dataview.md#to_dict) method returns a list of dictionaries, where each dictionary represents a frame. Use the 
 `projection` parameter to specify a subset of the frame fields to be included in the result. Input a list of strings, 

docs/hyperdatasets/masks.md

@@ -27,7 +27,7 @@ In the UI, you can view the mapping in a dataset version's [Metadata](webapp/web
 ![Dataset metadata panel](../img/hyperdatasets/dataset_metadata.png)
 
 When viewing a frame with a mask corresponding with the version’s mask-label mapping, the UI arbitrarily assigns a color 
-to each label . The color assignment can be [customized](webapp/webapp_datasets_frames.md#labels).
+to each label. The color assignment can be [customized](webapp/webapp_datasets_frames.md#labels).
 
 For example:
 * Original frame image:
@@ -44,7 +44,7 @@ The frame's sources array contains a masks list of dictionaries that looks somet
 ```editorconfig
 {
  "id": "<framegroup_id>",
- "timestamp": "<timestamp>" ,
+ "timestamp": "<timestamp>",
  "context_id": "car_1",
  "sources": [
    {

docs/hyperdatasets/task.md

@@ -10,7 +10,7 @@ Hyper-Datasets are supported by the `allegroai` python package.
 
 ### Connecting Dataviews to a Task
 
-Use [`Task.connect`](../references/sdk/task.md#connect) to connect a Dataview object to a Task: 
+Use [`Task.connect()`](../references/sdk/task.md#connect) to connect a Dataview object to a Task: 
 
 ```python
 from allegroai import DataView, Task