fixed a few broken links and paths, also cleaned up grammar in documentation

docs/details.md

@@ -5,17 +5,17 @@ This document highlights some of the more advanced features of
 
 ## Configuration
 
-The configuration file resides in a directory `.config/openml` in the
+The configuration file resides in a directory `~/.config/openml` in the
 home directory of the user and is called config (More specifically, it
-resides in the [configuration directory specified by the XDGB Base
+resides in the [configuration directory specified by the XDG Base
 Directory
 Specification](https://specifications.freedesktop.org/basedir-spec/basedir-spec-latest.html)).
 It consists of `key = value` pairs which are separated by newlines. The
 following keys are defined:
 
 - apikey: required to access the server.
-- server: the server to connect to (default: `http://www.openml.org`).
-          For connection to the test server, set this to `test.openml.org`.
+- server: the server to connect to (default: `https://www.openml.org`).
+          For connection to the test server, set this to `https://test.openml.org`.
 - cachedir: the root folder where the cache file directories should be created.
     If not given, will default to `~/.openml/cache`
 - avoid_duplicate_runs: if set to `True` (default), when certain functions

docs/extensions.md

@@ -27,8 +27,8 @@ to upload it. However, in order to simplify the process of uploading
 flows and runs from a specific library, an additional interface can be
 built. The OpenML-Python team does not have the capacity to develop and
 maintain such interfaces on its own. For this reason, we have built an
-extension interface to allows others to contribute back. Building a
-suitable extension for therefore requires an understanding of the
+extension interface to allow others to contribute back. Building a
+suitable extension therefore requires an understanding of the
 current OpenML-Python support.
 
 [This tutorial](../examples/Basics/simple_flows_and_runs_tutorial) shows how the scikit-learn 
@@ -65,8 +65,8 @@ and can be implemented in several lines of code.
         Typically, the flow-dependency field is used to check whether
         the specific library is present, and no unknown libraries are
         present there.
-    -   `can_handle_model`: Similar as
-        `can_handle_flow`:, except that in
+    -   `can_handle_model`: Similar to
+        `can_handle_flow`, except that in
         this case a Python object is given. As such, in many cases, this
         method can be implemented by checking whether this adheres to a
         certain base class.
@@ -138,7 +138,7 @@ Each extension created should be a stand-alone repository, compatible
 with the [OpenML-Python repository](https://github.com/openml/openml-python). 
 The extension repository should work off-the-shelf with *OpenML-Python* installed.
 
-Create a public Github repo with the following directory structure:
+Create a public GitHub repo with the following directory structure:
 
     | [repo name]
     |    |-- [extension name]
@@ -149,7 +149,7 @@ Create a public Github repo with the following directory structure:
 ### Recommended
 
 -   Test cases to keep the extension up to date with the
-    Openml-Python upstream changes.
+    OpenML-Python upstream changes.
 -   Documentation of the extension API, especially if any new
     functionality added to OpenML-Python\'s extension design.
 -   Examples to show how the new extension interfaces and works with

docs/index.md

@@ -100,4 +100,4 @@ appreciate a reference to our JMLR-MLOSS paper
 
     Feurer, Matthias, et al. 
     "OpenML-Python: an extensible Python API for OpenML."
-    _Journal of Machine Learning Research_ 22.100 (2021):1−5.
+    _Journal of Machine Learning Research_ 22.100 (2021): 1−5.