Small edits (#781)

docs/apps/clearml_session.md

@@ -123,7 +123,7 @@ When `clearml-session` is launched, it initializes a task with a unique ID in th
 To connect to an existing session: 
 1. Go to the web UI, find the interactive session task (by default, it's in project "DevOps").
 1. Click on the ID button in the task page's header, and copy the unique ID.
-1. Enter the following command: `clearml-session --attach <session_id>`.
+1. Run the following command: `clearml-session --attach <session_id>`.
 1. Click on the JupyterLab / VS Code link that is outputted, or connect directly to the SSH session
 
 ### Features 

docs/clearml_agent.md

@@ -425,7 +425,7 @@ template specification attached to the queue.
    pip3 install -U --extra-index-url https://*****@*****.allegro.ai/repository/clearml_agent_slurm/simple clearml-agent-slurm
    ```
 
-1. Create a new batch template. Make sure to set the `SBATCH` variables to the resources you want to attach to the queue. 
+1. Create a batch template. Make sure to set the `SBATCH` variables to the resources you want to attach to the queue. 
    The script below sets up an agent to run bare-metal, creating a virtual environment per job. For example:
 
    ```

docs/clearml_agent/clearml_agent_ref.md

@@ -133,7 +133,7 @@ clearml-agent execute [-h] --id TASK_ID [--log-file LOG_FILE] [--disable-monitor
 |`--full-monitoring`| Create a full log, including the environment setup log, Task log, and monitoring, as well as stdout.|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
 |`--git-pass`| Git password for repository access.|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
 |`--git-user`| Git username for repository access.|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
-|`--gpus`| Specify active GPUs for the daemon to use (docker / virtual environment), Equivalent to setting `NVIDIA_VISIBLE_DEVICES`. For example: <ul><li>`--gpus 0`</li><li>`--gpu 0,1,2`</li><li>`--gpus all`</li></ul>|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
+|`--gpus`| Specify active GPUs for the daemon to use (docker / virtual environment). Equivalent to setting `NVIDIA_VISIBLE_DEVICES`. For example: <ul><li>`--gpus 0`</li><li>`--gpu 0,1,2`</li><li>`--gpus all`</li></ul>|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
 |`-h`, `--help`| Get help for this command.|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
 |`--log-file`| The log file for Task execution output (stdout / stderr) to a text file.|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|
 |`--log-level`| SDK log level. The values are:<ul><li>`DEBUG`</li><li>`INFO`</li><li>`WARN`</li><li>`WARNING`</li><li>`ERROR`</li><li>`CRITICAL`</li></ul>|<img src="/docs/latest/icons/ico-optional-yes.svg" alt="Yes" className="icon size-md center-md" />|

docs/clearml_sdk/task_sdk.md

@@ -173,7 +173,7 @@ In order to mitigate the clutter that a multitude of debugging tasks might creat
 
 You can always create a new task by passing `reuse_last_task_id=False`.
 
-See full `Task.init` reference [here](../references/sdk/task.md#taskinit).
+For more information, see [`Task.init()`](../references/sdk/task.md#taskinit).
 
 ### Continuing Task Execution
 You can continue the execution of a previously run task using the `continue_last_task` parameter of `Task.init()`. 

docs/deploying_clearml/clearml_server_mongo44_migration.md

@@ -16,7 +16,7 @@ mongodb version 4.4. If your ClearML server had been deployed with this chart (w
 You can stop reading here, as no migration is required.
 :::
 
-The migration process is comprised of the following:
+The migration process includes the following:
 * Backing up your data
 * Creating a copy of the data which will be migrated for use with the new version
 * Sequentially running data migration for MongoDB: 3.6->4.0, 4.0->4.2, 4.0->4.4

docs/faq.md

@@ -295,7 +295,7 @@ Yes! ClearML provides multiple ways to configure your task and track your parame
 In addition to argparse, ClearML also automatically captures and tracks command line parameters created using [click](integrations/click.md), 
 [Python Fire](integrations/python_fire.md), [Hydra](integrations/hydra.md), and/or [LightningCLI](https://lightning.ai/docs/pytorch/stable/cli/lightning_cli.html#lightning-cli).
 
-ClearML also supports tracking code-level configuration dictionaries using the [`Task.connect`](references/sdk/task.md#connect) method.
+ClearML also supports tracking code-level configuration dictionaries using [`Task.connect()`](references/sdk/task.md#connect).
 
 For example, the code below connects hyperparameters (`learning_rate`, `batch_size`, `display_step`,
 `model_path`, `n_hidden_1`, and `n_hidden_2`) to a task:
@@ -309,7 +309,7 @@ parameters_dict = { 'learning_rate': 0.001, 'batch_size': 100, 'display_step': 1
 parameters_dict = Task.current_task().connect(parameters_dict)
 ```
 
-See more task configuration options [here](fundamentals/hyperparameters.md). 
+For more task configuration options, see [Hyperparameters](fundamentals/hyperparameters.md). 
     
 
 <br/>

docs/fundamentals/task.md

@@ -12,7 +12,7 @@ and specify a task name and its project. This creates a Task object that automat
 information as well as execution outputs.
 
 All the information captured by a task is by default uploaded to the [ClearML Server](../deploying_clearml/clearml_server.md),
-and it can be visualized in the [ClearML WebApp](../webapp/webapp_overview.md) (UI). ClearML can also be configured to upload 
+and it can be visualized in the [ClearML WebApp (UI)](../webapp/webapp_overview.md). ClearML can also be configured to upload 
 model checkpoints, artifacts, and charts to cloud storage (see [Storage](../integrations/storage.md)). Additionally, 
 you can work with tasks in Offline Mode, in which all information is saved in a local folder (see 
 [Storing Task Data Offline](../guides/set_offline.md)).

docs/guides/services/slack_alerts.md

@@ -10,7 +10,7 @@ failure of tasks, and posts alert messages on a Slack channel.
 
 ## Creating a Slack Bot
 
-Before configuring and running the Slack alert service, create a new Slack Bot (**ClearML Bot**). 
+Before configuring and running the Slack alert service, create a Slack Bot (**ClearML Bot**). 
 
 :::important
 The Slack API token and channel you create are required to configure the Slack alert service.

docs/hyperdatasets/webapp/webapp_dataviews.md

@@ -96,7 +96,7 @@ The same information can be found in the batch action bar, in a tooltip that app
 
 ## Creating a Dataview 
 
-Create a new Dataview by clicking the **+ NEW DATAVIEW** button at the top right of the table, which opens a 
+Create a Dataview by clicking the **+ NEW DATAVIEW** button at the top right of the table, which opens a 
 **NEW DATAVIEW** window. 
 
 ![New Dataview window](../../img/webapp_dataview_new.png)

docs/integrations/lightgbm.md

@@ -30,7 +30,7 @@ And that's it! This creates a [ClearML Task](../fundamentals/task.md) which capt
 
 You can view all the task details in the [WebApp](../webapp/webapp_exp_track_visual.md). 
 
-See an example of LightGBM and ClearML in action [here](../guides/frameworks/lightgbm/lightgbm_example.md).
+See LightGBM and ClearML in action in a [code example](../guides/frameworks/lightgbm/lightgbm_example.md).
 
 ![Experiment scalars](../img/examples_lightgbm_scalars.png)
 

docs/integrations/megengine.md

@@ -29,7 +29,7 @@ And that's it! This creates a [ClearML Task](../fundamentals/task.md) which capt
 
 You can view all the task details in the [WebApp](../webapp/webapp_overview.md). 
 
-See an example of MegEngine and ClearML in action [here](../guides/frameworks/megengine/megengine_mnist.md).
+See MegEngine and ClearML in action in a [code example](../guides/frameworks/megengine/megengine_mnist.md).
 
 ## Automatic Logging Control 
 By default, when ClearML is integrated into your MegEngine script, it captures all its logged models. But, you may want to 

docs/integrations/storage.md

@@ -34,7 +34,7 @@ The ClearML configuration file uses [HOCON](https://github.com/lightbend/config/
 
 Modify these parts of the clearml.conf file and add the key, secret, and region of the S3 bucket.
 
-It's possible to also give access to specific S3 buckets in the `aws.s3.credentials` section. The default configuration 
+You can also give access to specific S3 buckets in the `aws.s3.credentials` section. The default configuration 
 provided in the `aws.s3` section is applied to any bucket without a bucket-specific configuration. 
 
 You can also enable using a credentials chain to let Boto3 

docs/webapp/pipelines/webapp_pipeline_table.md

@@ -112,7 +112,7 @@ Access these actions with the context menu in any of the following ways:
 | Action | Description | States Valid for the Action | State Transition |
 |---|---|---|---|
 | Details | View pipeline details. Can also be accessed by double-clicking a run in the pipeline runs table. | Any state |  None  |
-| Run | Create a new pipeline run. Configure and enqueue it for execution. See [Create Run](#create-run).  | Any State | *Pending* |
+| Run | Create a pipeline run. Configure and enqueue it for execution. See [Create Run](#create-run).  | Any State | *Pending* |
 | Abort | Manually stop / cancel a run. | *Running* / *Pending* | *Aborted* |
 | Continue | Rerun with the same parameters. |  *Aborted* | *Pending* |
 | Add Tag | User-defined labels added to runs for grouping and organization. | Any state |  None  |

docs/webapp/webapp_projects_page.md

@@ -53,9 +53,9 @@ of a project folder to open its context menu and access the following project ac
 * **Delete** - Delete the project. To delete a project, all of its contents (i.e. any pipelines/reports/datasets) must
 first be archived or removed. 
 
-## Create New Projects
+## Create Projects
 
-To create a new project, click the **+ NEW PROJECT** button in the top right of the page or in a project's context menu, 
+To create a project, click the **+ NEW PROJECT** button in the top right of the page or in a project's context menu, 
 which will open a **New Project** modal. 
 
 ![New project modal](../img/webapp_projects_new_project.png)

docs/webapp/webapp_reports.md

@@ -220,9 +220,9 @@ of a report card to open its context menu and access report actions:
 * **Archive** - Move report from active reports page to archive
 * **Delete** - Delete the report. To delete a report, it must first be archived. 
 
-### Create New Reports
+### Create Reports
 
-To create a new project, click the **+ NEW REPORT** button in the top right of the page, 
+To create a report, click the **+ NEW REPORT** button in the top right of the page, 
 which will open a **New Report** modal.
 
 ![New project modal](../img/webapp_report_new_report.png)