diff --git a/docs/clearml_agent/clearml_agent_env_caching.md b/docs/clearml_agent/clearml_agent_env_caching.md
index 6740ba10..4a7de699 100644
--- a/docs/clearml_agent/clearml_agent_env_caching.md
+++ b/docs/clearml_agent/clearml_agent_env_caching.md
@@ -20,7 +20,7 @@ the same environment will be used.
ClearML does not support environment reuse when using Poetry package manager
:::
-To enable virutal environment reuse, modify the `clearml.conf` file and uncomment the `venvs_cache` section.
+To enable virtual environment reuse, modify the `clearml.conf` file and uncomment the `venvs_cache` section.
```
venvs_cache: {
# maximum number of cached venvs
diff --git a/docs/clearml_sdk/model_sdk.md b/docs/clearml_sdk/model_sdk.md
index a0578df6..2792e8d2 100644
--- a/docs/clearml_sdk/model_sdk.md
+++ b/docs/clearml_sdk/model_sdk.md
@@ -201,7 +201,6 @@ These methods can be used on `Model`, `InputModel`, and/or `OutputModel` objects
* 3d plots
* Scatter plot - [`report_scatter3d`](../references/sdk/model_outputmodel.md#report_scatter3d)
* Surface plot - [`report_surface`](../references/sdk/model_outputmodel.md#report_surface)
-
## SDK Reference
diff --git a/docs/deploying_clearml/clearml_server_config.md b/docs/deploying_clearml/clearml_server_config.md
index 28a642e4..6b3c91ea 100644
--- a/docs/deploying_clearml/clearml_server_config.md
+++ b/docs/deploying_clearml/clearml_server_config.md
@@ -391,7 +391,7 @@ If the `apiserver.conf` file does not exist, create your own in ClearML Server's
an alternate folder you configured), and input the modified configuration
:::
-See the [Flask-Cors documentation](https://flask-cors.corydolphin.com/en/latest/api.html) for detailed initialization
+See the [Flask-Cors documentation](https://flask-cors.readthedocs.io/en/latest/api.html) for detailed initialization
options.
### Custom UI Context Menu Actions
diff --git a/docs/guides/frameworks/pytorch_ignite/pytorch_ignite_mnist.md b/docs/guides/frameworks/pytorch_ignite/pytorch_ignite_mnist.md
index a05ba780..a30aa516 100644
--- a/docs/guides/frameworks/pytorch_ignite/pytorch_ignite_mnist.md
+++ b/docs/guides/frameworks/pytorch_ignite/pytorch_ignite_mnist.md
@@ -3,7 +3,7 @@ title: PyTorch Ignite ClearMLLogger
---
The `ignite` repository contains the [mnist_with_clearml_logger.py](https://github.com/pytorch/ignite/blob/master/examples/mnist/mnist_with_clearml_logger.py)
-example script that uses [ignite](https://github.com/pytorch/ignite) and integrates **ClearMLLogger** and its [helper handlers](https://pytorch.org/ignite/generated/ignite.contrib.handlers.clearml_logger.html).
+example script that uses [ignite](https://github.com/pytorch/ignite) and integrates **ClearMLLogger** and its [helper handlers](https://pytorch.org/ignite/v0.5.0.post2/generated/ignite.handlers.clearml_logger.html).
PyTorch Ignite supports a `ClearMLLogger` handler to log metrics, text, model / optimizer parameters, plots, and model
checkpoints during training and validation.
diff --git a/docs/guides/optimization/hyper-parameter-optimization/examples_hyperparam_opt.md b/docs/guides/optimization/hyper-parameter-optimization/examples_hyperparam_opt.md
index ad75aa75..b70f28ae 100644
--- a/docs/guides/optimization/hyper-parameter-optimization/examples_hyperparam_opt.md
+++ b/docs/guides/optimization/hyper-parameter-optimization/examples_hyperparam_opt.md
@@ -196,7 +196,7 @@ object, setting the following optimization parameters:
## Running as a Service
-The optimization can run as a service, if the `run_as_service` argument is set to `true`. For more information about
+To run the optimization as a service, set the `run_as_service` argument to `true`. For more information about
running as a service, see [Services Mode](../../../clearml_agent/clearml_agent_services_mode.md).
```python
@@ -210,7 +210,7 @@ if args['run_as_service']:
## Optimize
The optimizer is ready. Set the report period and [start](../../../references/sdk/hpo_optimization_hyperparameteroptimizer.md#start)
-it, providing the callback method to report the best performance.
+it, providing the callback method to report the best performance:
```python
# report every 12 seconds, this is way too often, but we are testing here J
diff --git a/docs/integrations/ignite.md b/docs/integrations/ignite.md
index 87b0c29f..0beb1563 100644
--- a/docs/integrations/ignite.md
+++ b/docs/integrations/ignite.md
@@ -78,7 +78,6 @@ Integrate ClearML with the following steps:
```
1. Attach the `ClearMLLogger` object to helper handlers to log experiment outputs. Ignite supports the following helper handlers for ClearML:
-
* **ClearMLSaver** - Saves input snapshots as ClearML artifacts.
* **GradsHistHandler** and **WeightsHistHandler** - Logs the model's gradients and weights respectively as histograms.
* **GradsScalarHandler** and **WeightsScalarHandler** - Logs gradients and weights respectively as scalars.
@@ -122,7 +121,7 @@ Integrate ClearML with the following steps:
Visualize all the captured information in the experiment's page in ClearML's [WebApp](#webapp).
-For more information, see the [ignite documentation](https://pytorch.org/ignite/generated/ignite.contrib.handlers.clearml_logger.html).
+For more information, see the [ignite documentation](https://pytorch.org/ignite/v0.5.0.post2/generated/ignite.handlers.clearml_logger.html).
See code example [here](https://github.com/pytorch/ignite/blob/master/examples/mnist/mnist_with_clearml_logger.py).
diff --git a/docs/release_notes/ver_1_1.md b/docs/release_notes/ver_1_1.md
index cda3fe5f..b9b0e628 100644
--- a/docs/release_notes/ver_1_1.md
+++ b/docs/release_notes/ver_1_1.md
@@ -34,7 +34,7 @@ This release is not backwards compatible - see notes below on upgrading
- Add `Task.force_store_standalone_script()` to force storing standalone script instead of a Git repository reference ([ClearML GitHub issue #340](https://github.com/allegroai/clearml/issues/340))
- Add `Logger.set_default_debug_sample_history()` and `Logger.get_default_debug_sample_history()` to allow controlling
maximum debug samples programmatically
-- Add populate now stores function arg types as part of the hyperparemeters
+- Add populate now stores function arg types as part of the hyperparameters
- Add `status_message` argument to `Task.mark_stopped()`
- Change `HTTP` driver timeout and retry codes (connection timeout will now trigger a retry)
diff --git a/docs/webapp/applications/apps_dashboard.md b/docs/webapp/applications/apps_dashboard.md
index b639a612..4e8dbf88 100644
--- a/docs/webapp/applications/apps_dashboard.md
+++ b/docs/webapp/applications/apps_dashboard.md
@@ -6,7 +6,7 @@ title: Project Dashboard
The ClearML Project Dashboard App is available under the ClearML Pro plan
:::
-The Project Dashboard Application provides an overview of a project or workspace's progress. It presents an aggregated
+The Project Dashboard Application provides an overview of a project's or workspace's progress. It presents an aggregated
view of task status and a chosen metric over time, as well as project GPU and worker usage. It also supports alerts/warnings
on completed/failed Tasks via Slack integration.
diff --git a/src/pages/index.js b/src/pages/index.js
index b81b51ac..b741d83d 100644
--- a/src/pages/index.js
+++ b/src/pages/index.js
@@ -44,7 +44,7 @@ const features = [
description: (
<>
ClearML-Data
lets you abstract the Data from your Code.
- CLI / programmatic interface easily create datasets from anywhere.
+ Easily create datasets from anywhere using the CLI or programmatic interface.
ClearML-Data is a fully differentiable solution on top of object-storage / http / NAS layer.
We solve your data localization problem, so you can process it anywhere.
>