Small edits (#337)

docs/clearml_data/clearml_data_cli.md

@@ -129,7 +129,7 @@ clearml-data upload [-h] [--id ID] [--storage STORAGE] [--chunk-size CHUNK_SIZE]
 
 ## close
 
-Finalize the dataset and makes it ready to be consumed. This automatically uploads all files that were not previously uploaded.
+Finalize the dataset and make it ready to be consumed. This automatically uploads all files that were not previously uploaded.
 Once a dataset is finalized, it can no longer be modified.
 
 ```bash

docs/clearml_data/data_management_examples/data_man_simple.md

@@ -165,5 +165,5 @@ You'll need to input the Dataset ID you received when created the dataset above
    ```
 
 By using `clearml-data`, a clear lineage is created for the data. As seen in this example, when a dataset is closed, the 
-only way to add or remove data is to create a new dataset, and using the previous dataset as a parent. This way, the data 
+only way to add or remove data is to create a new dataset, and to use the previous dataset as a parent. This way, the data 
 is not reliant on the code and is reproducible. 

docs/hyperdatasets/dataviews.md

@@ -368,7 +368,7 @@ myDataView.add_query(
 ROI label translation (label mapping) enables combining labels for training, combining disparate datasets, and hiding 
 certain labels for training.
 
-This example demonstrates consolidating two disparate Datasets. Two Dataset versions use `car` (lower case "c"), but a 
+This example demonstrates consolidating two disparate Datasets. Two Dataset versions use `car` (lower case "c"), but the
 third uses `Car` (upper case "C"). 
 The example maps `Car` (upper case "C") to `car` (lower case "c").
 

docs/hyperdatasets/overview.md

@@ -3,7 +3,7 @@ title: Hyper-Datasets
 ---
 
 ClearML's Hyper-Datasets are an MLOps-oriented abstraction of your data, which facilitates traceable, reproducible model development
-through parametrized data access and meta-data version control.
+through parameterized data access and meta-data version control.
 
 The basic premise is that a user-formed query is a full representation of the dataset used by the ML/DL process. 
 
@@ -24,9 +24,9 @@ A Hyper-Dataset is composed of the following components:
 * [Datasets and Dataset Versions](dataset.md)
 * [Dataviews](dataviews.md)
 
-These components interact in a way that enables revising data and tracking and accessing all of its version. 
+These components interact in a way that enables revising data and tracking and accessing all of its versions. 
 
-Frames are the basics units of data in ClearML Enterprise. SingleFrames and FrameGroups make up a Dataset version. 
+Frames are the basic units of data in ClearML Enterprise. SingleFrames and FrameGroups make up a Dataset version. 
 Dataset versions can be created, modified, and removed. The different version are recorded and available, 
 so experiments, and their data are reproducible and traceable. 
 

docs/hyperdatasets/webapp/webapp_datasets.md

@@ -12,22 +12,22 @@ The Datasets page offers the following functionalities:
 
 ## Dataset Cards
 
-Dataset cards show summary information about versions, frames, and labels in a Dataset, and the elapsed time since the Dataset was last update and the user doing the update. 
+Dataset cards show summary information about versions: 
-Dataset cards allow you to open a specific Dataset to perform Dataset versioning and frames management.
-
 * Dataset name
 * Elapsed time since the last update. Hover over elapsed time and view date of last update.
 * User updating the Dataset
 * If the dataset contains dataset-level metadata, the card displays the <img src="/docs/latest/icons/ico-status-completed.svg" alt="Check mark" className="icon size-md space-sm" /> 
     `Metadata` indicator, which is also a shortcut to [edit the Dataset's metadata](#editing-dataset-level-metadata) 
 * The number of versions in the Dataset
-* The total number of frames in all versions of the Dataset. If an asterisk (\*) appears next to **FRAMES**, then you can hover it and see the name of the version whose frames were last updated appears.
+* The total number of frames in all versions of the Dataset. If an asterisk (\*) appears next to **FRAMES**, then you can hover over it and see the name of the version whose frames were last updated.
-* The percentage of frames annotated in all versions of the Dataset. If an asterisk (\*) appears next to **ANNOTATED**, then you can hover it and see the name of the version whose frames were last annotated appears.
+* The percentage of frames annotated in all versions of the Dataset. If an asterisk (\*) appears next to **ANNOTATED**, then you can hover over it and see the name of the version whose frames were last annotated.
 * If the Dataset version's status is *Published*, then the Dataset's top labels appear (colors are editable). If the 
   Dataset version is *Draft*, then no labels appear.
 
+Dataset cards allow you to open a specific Dataset to perform Dataset versioning and frames management.
+
 :::note Change Label Color
-To change the label color coding, hover over a label color, click thr hand pointer, and then select a new color.
+To change the label color coding, hover over a label color, click the hand pointer, and then select a new color.
 :::
 
 ### Renaming a Dataset
@@ -59,8 +59,8 @@ Create a new Dataset which will contain one version named `Current`. The new ver
 
 * In **RECENT**, choose either:
 
-    * **RECENT** - Most recently update of the Datasets.
+    * **RECENT** - Sort by update time
-    * **NAME** - Alphabetically sort by Dataset name.
+    * **NAME** - Sort alphabetically by Dataset name.