Update README.md

README.md

@@ -10,9 +10,11 @@ Supporting dataset for paper https://arxiv.org/abs/2306.00455
 The dataset contains 140,000 records from 128 EEG channels, each of 2 seconds, recorded at 250hz, in total 17,920,000 brain signals and 8,960,000,000 data points.
 
 It consists of 2 main csv data files:
-> “train.csv” 45Gb Header + 60,000 rows 63,790 columns
-> “test.csv” 7,52Gb Header + 10,000 rows 63,790 columns
+- “train.csv” 45Gb Header + 60,000 rows 63,790 columns
+- “test.csv” 7,52Gb Header + 10,000 rows 63,790 columns
+
 10 audio files at a folder named “audiolabels”: “0.wav”, “1.wav”......“9.wav”
+
 And 1 csv file with 3d coordinates of the EEG electrodes: “3Dcoords.csv” 4,27Kb Header + 130 rows 4 columns
 
 ## Dataset Structure
@@ -24,9 +26,11 @@ review supporting paper https://arxiv.org/abs/2306.00455
 review supporting paper https://arxiv.org/abs/2306.00455
 
 ## Citation
+```sh
 @article{MindBigData_2023_MNIST-8B,
   title={MindBigData 2023 MNIST-8B The 8 billion datapoints Multimodal Dataset of Brain Signals},
   author={David Vivancos},
   journal={arXiv preprint arXiv:2306.00455},
   year={2023}
-}
+}
+```