Update README.md

README.md

@@ -176,13 +176,13 @@ That means:
   
 ### Data Splits
 
-The data was not splited. It contains the test set only.
+The data was not split. It contains the test set only.
 
 ## Dataset Creation
 
 ### Curation Rationale
 
-Although there is a long tradition of work in NLP on extracting entities and relations from text, to date there exists little work on the acquisition of business processes from unstructured data such as textual corpora of process descriptions. With this work we aim at filling this gap and establishing the first steps towards bridging data-driven information extraction methodologies from Natural Language Processing and the model-based formalization that is aimed from Business Process Management.
+Although there is a long tradition of work in NLP on extracting entities and relations from text to date there exists little work on the acquisition of business processes from unstructured data such as textual corpora of process descriptions. With this work we aim at filling this gap and establishing the first steps towards bridging data-driven information extraction methodologies from Natural Language Processing and the model-based formalization that is aimed from Business Process Management.
 
 ### Source Data
 
@@ -329,28 +329,31 @@ The Annotation guidelines and procedures adopted to annotate the PET dataset can
 
 ###  Article
 
-The Article can be downloeaded [here]({https://ceur-ws.org/Vol-3287/paper18.pdf})
+The article can be downloaded [here]({https://ceur-ws.org/Vol-3287/paper18.pdf})
 
 ### Python Interface
 
-A python interface (beta version) to interact with the dataset can be found [here](https://pypi.org/project/petdatasetreader/)
+A Python interface (beta version) to interact with the dataset can be found [here](https://pypi.org/project/petdatasetreader/)
 
-You can find the annotation data, baselines, and a graphical interface to visualize predictions [here](https://github.com/patriziobellan86/PETbaselines)
+You can find the **BASELINES**, the annotation data, and a graphical interface to visualize predictions [here](https://github.com/patriziobellan86/PETbaselines)
 
 
 ### Benchmarks
 
-A python benchmarking procedure package to test approaches on the PET dataset ca be found [here](https://pypi.org/project/petbenchmarks/)
+A Python benchmarking procedure package to test approaches on the PET dataset ca be found [here](https://pypi.org/project/petbenchmarks/)
 
 
 ##  <a name="loadingdata"></a>Loading data
 ### Token-classification task
+
 ```python
 from datasets import load_dataset
 modelhub_dataset = load_dataset("patriziobellan/PET", name='token-classification')
 ```
 
 ### Relations-extraction task
+
 ```python
 from datasets import load_dataset
-modelhub_dataset = load_dataset("patriziobellan/PET", name='relations-extraction')
+modelhub_dataset = load_dataset("patriziobellan/PET", name='relations-extraction')
+```