Update README.md

README.md

@@ -22,7 +22,7 @@ Part of MONSTER: <https://arxiv.org/abs/2502.15122>.
 |License|[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)|
 |Citations|[1] [2]|
 
-***STEW*** comprises raw EEG recordings from 48 participants involved in a multitasking workload experiment [1]. Additionally, the subjects' baseline brain activity at rest was recorded before the test. The data was captured using the Emotiv Epoc device with a sampling frequency of 128Hz and 14 channels, resulting in 2.5 minutes of EEG recording for each case. Participants were instructed to assess their perceived mental workload after each stage using a rating scale ranging from 1 to 9, and these ratings are available in a separate file. The dataset has been divided into cross-validation folds based on individual participants. Additionally, binary class labels have been assigned to the data, categorizing workload ratings above 4 as "high" and those below or equal to 4 as "low". We utilize these labels for our specific problem. STEW can be accessed upon request through the IEEE DataPort [2].
+***STEW*** comprises raw EEG recordings from 48 participants involved in a multitasking workload experiment [1]. Additionally, the subjects' baseline brain activity at rest was recorded before the test. The data was captured using the Emotiv Epoc device with a sampling frequency of 128Hz and 14 channels, resulting in 2.5 minutes of EEG recording for each case. Participants were instructed to assess their perceived mental workload after each stage using a rating scale ranging from 1 to 9, and these ratings are available in a separate file. The dataset has been divided into cross-validation folds based on individual participants. Additionally, binary class labels have been assigned to the data, categorizing workload ratings above 4 as "high" and those below or equal to 4 as "low". We utilize these labels for our specific problem. STEW can be accessed upon request through the IEEE DataPort [2].  The processed dataset consists of 28,512 multivariate time series each of length 256 (i.e., representing 2 seconds of data at 128 Hz).
 
 [1] Wei Lun Lim, Olga Sourina, and Lipo Wang. (2018). STEW: Simultaneous task EEG workload data set. *IEEE Transactions on Neural Systems and Rehabilitation Engineering*, 26(11):2106–2114.