diff --git a/public/static/docs/changelog/0.18.md b/public/static/docs/changelog/0.18.md index 6602052fb8..984691e3a9 100644 --- a/public/static/docs/changelog/0.18.md +++ b/public/static/docs/changelog/0.18.md @@ -41,7 +41,7 @@ really excited to share the progress with you: fixes and other things you can check in the complete [changelog](https://github.com/iterative/dvc/releases). -Please use the discussion forum [discuss.dvc.org](discuss.dvc.org) and +Please use the discussion forum [discuss.dvc.org](https://discuss.dvc.org) and [issue tracker]() and don't hesitate to [⭐](https://github.com/iterative/dvc) the [DVC repository](https://github.com/iterative/dvc) if you haven't yet. We are waiting for your feedback! diff --git a/public/static/docs/command-reference/gc.md b/public/static/docs/command-reference/gc.md index 2aa9bc85ca..4ba6cf11ab 100644 --- a/public/static/docs/command-reference/gc.md +++ b/public/static/docs/command-reference/gc.md @@ -45,9 +45,9 @@ restored using `dvc fetch`, as long as they have previously been uploaded with - `-p`, `--projects` - if a single remote or a single cache is shared among different projects (e.g. a configuration like the one described - [here](/doc/use-cases/shared-development-server.md)), this option can be used - to specify a list of them (each project is a path) to keep data that is - currently referenced from them. + [here](/doc/use-cases/shared-development-server)), this option can be used to + specify a list of them (each project is a path) to keep data that is currently + referenced from them. - `-c`, `--cloud` - also remove files in the default remote storage. _This operation is dangerous._ It removes datasets, models, other files that are not diff --git a/public/static/docs/command-reference/metrics/show.md b/public/static/docs/command-reference/metrics/show.md index d72632a3bc..a41c783d2b 100644 --- a/public/static/docs/command-reference/metrics/show.md +++ b/public/static/docs/command-reference/metrics/show.md @@ -102,7 +102,7 @@ extension.) ## Examples -Examples in [add](/doc/command-reference/metric/add), +Examples in [add](/doc/command-reference/metrics/add), [modify](/doc/command-reference/metrics/modify), and [remove](/doc/command-reference/metrics/remove) cover most of the basic cases for the `dvc metrics show`. diff --git a/public/static/docs/command-reference/run.md b/public/static/docs/command-reference/run.md index 7c95379405..0148e4402d 100644 --- a/public/static/docs/command-reference/run.md +++ b/public/static/docs/command-reference/run.md @@ -49,8 +49,8 @@ Note that `dvc repro` provides an interface to check state and reproduce this graph (pipeline) later. This concept is similar to the one of the [Make](https://www.gnu.org/software/make/) in software build automation, but DVC captures data and caches relevant data artifacts along -the way. See [this example](/doc/get-started/example-pipeline) to learn more and -try creating a pipeline. +the way. See [this tutorial](/doc/tutorials/pipelines) to learn more and try +creating a pipeline. ### Avoiding unexpected behavior diff --git a/public/static/docs/get-started/index.md b/public/static/docs/get-started/index.md index 0d4a27a629..6c032f690d 100644 --- a/public/static/docs/get-started/index.md +++ b/public/static/docs/get-started/index.md @@ -20,5 +20,5 @@ improve this [documentation](https://github.com/iterative/dvc.org) 🙏. When you're done, feel free to check out official and community [tutorials](/doc/tutorials). They provide in-depth explanations, -[interactive](doc/tutorials/interactive) scenarios, and various examples on how +[interactive](/doc/tutorials/interactive) scenarios, and various examples on how DVC can be used. diff --git a/public/static/docs/tutorials/community.md b/public/static/docs/tutorials/community.md index 1c0eaa417a..3050d1391a 100644 --- a/public/static/docs/tutorials/community.md +++ b/public/static/docs/tutorials/community.md @@ -4,7 +4,7 @@ Blog posts from the community which show how they use DVC in their ML scenarios: - [Creating reproducible data science workflows with DVC](https://medium.com/y-data-stories/creating-reproducible-data-science-workflows-with-dvc-3bf058e9797b) -- [Creating an awesome project using DVC and DAGsHub](https://dagshub.com/docs/overview/) +- [Creating an awesome project using DVC and DAGsHub](https://dagshub.com) - [Using DVC to create an efficient version control system for data projects](https://medium.com/qonto-engineering/using-dvc-to-create-an-efficient-version-control-system-for-data-projects-96efd94355fe)