diff --git a/README.md b/README.md
index dfae517..3eb191c 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-[![PyPI version](https://img.shields.io/pypi/v/PyJobShop?style=flat-square&label=PyPI)](https://pypi.org/project/psplib/)
+[![PyPI version](https://img.shields.io/pypi/v/pysplib?style=flat-square&label=PyPI)](https://pypi.org/project/psplib/)
 [![CI](https://img.shields.io/github/actions/workflow/status/PyJobShop/PSPLIB/.github%2Fworkflows%2FCI.yml?branch=main&style=flat-square&logo=github&label=CI)](https://github.com/PyJobShop/PSPLIB/actions/workflows/CI.yml)
 
 # PSPLIB
@@ -8,7 +8,7 @@ This library implements parsers for various project scheduling benchmark instanc
 - Multi-Mode Resource-Constrained Project Scheduling Problem (MMRCPSP)
 - Resource-Constrained Multi Project Scheduling Problem (RCMPSP)
 
-`psplib` can be installed like this:
+`psplib` only depends on `numpy` and can be installed in the usual way:
 
 ```
 pip install pyjobshop
@@ -24,19 +24,22 @@ pip install pyjobshop
 4
 
 >>> instance.resources
-[Resource(capacity=12, renewable=True), Resource(capacity=13, renewable=True), Resource(capacity=4, renewable=True), Resource(capacity=12, renewable=True)]
+[Resource(capacity=12, renewable=True), ..., Resource(capacity=12, renewable=True)]
 
 >>> instance.num_projects
 1
 
 >>> instance.projects
-[Project(activities=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31], release_date=0)]
+[Project(activities=[0, 1, ..., 31], release_date=0)]
 
 >>> instance.num_activities
 32
 
 >>> instance.activities
-[Activity(modes=[Mode(duration=0, demands=[0, 0, 0, 0])], successors=[1, 2, 3], name=''), Activity(modes=[Mode(duration=8, demands=[4, 0, 0, 0])], successors=[5, 10, 14], name=''), ..., Activity(modes=[Mode(duration=0, demands=[0, 0, 0, 0])], successors=[], name='')]
+[Activity(modes=[Mode(duration=0, demands=[0, 0, 0, 0])], successors=[1, 2, 3], name=''), 
+ Activity(modes=[Mode(duration=8, demands=[4, 0, 0, 0])], successors=[5, 10, 14], name=''),
+ ...,
+ Activity(modes=[Mode(duration=0, demands=[0, 0, 0, 0])], successors=[], name='')]
 ```
 
 All parsers return an instance of the [`ProjectInstance`](https://github.com/PyJobShop/PSPLIB/blob/a146112737e497ba364af8419ee43b0ea8a645fc/psplib/ProjectInstance.py#L85) class, which is an instance representation of the multi-project, multi-mode, resource-constrained project scheduling problem (MP-MM-RCPSP). 
@@ -54,12 +57,12 @@ The Patterson format is a format for RCPSP instances, mostly used by the [OR&S](
 See [this](http://www.p2engine.com/p2reader/patterson_format) website for more details.
 
 ### MPLIB format 
-RCMPSP instances from the [`MPLIB`](https://www.projectmanagement.ugent.be/research/data) library can be parsed using this function.
+RCMPSP instances from the [MPLIB](https://www.projectmanagement.ugent.be/research/data) library can be parsed using this function.
 
 ## Instance databases
 
 The following websites host widely-used project scheduling benchmark instances.
 
-- [PSPLIB](https://www.om-db.wi.tum.de/psplib/): PSPLIB contains different problem sets for various types of resource constrained project scheduling problems as well as optimal and heuristic solutions.
+- [PSPLIB](https://www.om-db.wi.tum.de/psplib/) contains different problem sets for various types of resource constrained project scheduling problems as well as optimal and heuristic solutions.
 
-- [OR&S project database](https://www.projectmanagement.ugent.be/research/data): This is the research data website of the Operations Research and Scheduling (OR&S) Research group of the Faculty of Economics and Business Administration at Ghent University (Belgium). OR&S is very active in the field of project scheduling and has published instances for many problem variants.
+- [OR&S project database](https://www.projectmanagement.ugent.be/research/data) is the research data website of the Operations Research and Scheduling (OR&S) Research group of the Faculty of Economics and Business Administration at Ghent University (Belgium). OR&S is very active in the field of project scheduling and has published instances for many project scheduling variants.