diff --git a/README.md b/README.md
index 7b7aed6..df40639 100644
--- a/README.md
+++ b/README.md
@@ -6,22 +6,22 @@ As the three subjects, to be manually pre-processed, the subjects 001, 003 and 0
 The rest of the subjects were pre-processed with provided pre-processing information.
 
 ### Structure
-├── Dataset: The dataset of the project as well as the manually selected bad segments are stored here.
-|   ├── n170: Store the dataset here.
-|   └── preprocessed: Bad segments are stored here.
-├── cached_data: Data that is generated in the analysis part is stored here.
-|   ├── decoding_data: Results of the classifiers.
-|   ├── erp_peaks: ERP peaks needed for the ERP analysis.
-|   └── tf_data: Time-frequency data needed for the tf-analysis.
-├── test: Contains unittests and one visual check.
-├── utils: Contains helper methods
-|   ├── ccs_eeg_semesterproject: Methods given in the lecture.
-|   ├── ccs_eeg_utils_reduced: Method for reading in BIDS.
-|   ├── file_utils.py: Methods for reading in files and getting epochs.
-|   └── plot_utils.py: Methods for manually created plots.
-├── preprocessing_and_cleaning.py: The preprocessing pipeline.
-├── erp_analysis.py: The ERP-Analysis and computation of ERP peaks.
-└── decoding_tf_analysis.py: Decoding and time-frequency analysis.
+├── Dataset: The dataset of the project as well as the manually selected bad segments are stored here. \
+|   ├── n170: Store the dataset here. \
+|   └── preprocessed: Bad segments are stored here. \
+├── cached_data: Data that is generated in the analysis part is stored here. \
+|   ├── decoding_data: Results of the classifiers. \
+|   ├── erp_peaks: ERP peaks needed for the ERP analysis. \
+|   └── tf_data: Time-frequency data needed for the tf-analysis. \
+├── test: Contains unittests and one visual check. \
+├── utils: Contains helper methods \
+|   ├── ccs_eeg_semesterproject: Methods given in the lecture. \
+|   ├── ccs_eeg_utils_reduced: Method for reading in BIDS. \
+|   ├── file_utils.py: Methods for reading in files and getting epochs. \
+|   └── plot_utils.py: Methods for manually created plots. \
+├── preprocessing_and_cleaning.py: The preprocessing pipeline. \
+├── erp_analysis.py: The ERP-Analysis and computation of ERP peaks. \
+└── decoding_tf_analysis.py: Decoding and time-frequency analysis. \
 
 ### Running the project
 To run the project python 3.7 is required and anaconda recommended.