minor line editing

data/outreachy.yml

@@ -12,13 +12,13 @@ rounds:
       - title: "MirageOS Cloud API Support"
         description: >
           MirageOS (see http://xenproject.org/developers/teams/mirage-os.html,
-          http://www.openmirage.org/) is a type-safe unikernel written in OCaml
-          which generates highly specialised "appliance" VMs that run directly
+          http://www.openmirage.org/) is a type-safe unikernel written in OCaml.
+          It generates highly specialised "appliance" VMs that run directly
           on Xen without requiring an intervening kernel. A MirageOS
           application typically runs via several communicating kernel instances
           on the cloud. Today these instances are difficult to manage; we would
           like to explore strategies for managing these distributed
-          computations using common public cloud APIs such as those exposed by
+          computations using common public cloud APIs, such as those exposed by
           Amazon EC2 and Rackspace.
 
           First we need to create pure OCaml API bindings for (e.g.) EC2 and
@@ -401,15 +401,15 @@ rounds:
 
 
           There's probably more. Each set of exercises uses a different execution
-          framework (such as Jupyter, Learn-OCaml or custom). They provide a range of user
-          experiences, from available solutions up to candidate solution testing. The main
-          goal of this internship is to build a common configuration that allows running
+          framework (such as Jupyter, Learn-OCaml, or custom). They provide a range of user
+          experiences, from available solutions up to candidate solution testing. The internship's main
+          goal is to build a common configuration that allows running
           each set of exercises in most known setups. This will have the following
           benefits:
 
-          - Exercises are no longer tied to a setup, they can be used in several
+          - Exercises are no longer tied to a specific setup, they can be used in several
           - Loose coupling between the learning content and the technical setup
-          - For learners: Feature parity among exercise sets, self-learning, unique, simple and quick start
+          - For learners: Feature parity among exercise sets, self-learning, unique, simple, and quick start
           - For teachers: Focus on exercise writing, using the common setup
           - For the community: More exercices, easier startup, improved learning curve for OCaml