Update README.md

README.md

@@ -20,7 +20,7 @@ We establish benchmarks for both object classification and image reconstruction
 
 **Figure 1**: Schematic Diagram of the Data File Storage Structure. 
 
-Due to file size limitations on the cloud storage platform, the dataset is split into two parts: EEG-ImageNet_1.pth and EEG-ImageNet_2.pth. Each part contains data from 8 participants. Users can choose to use only one part based on their specific needs or device limitations.
+Due to file size limitations on the cloud storage platform, the dataset is split into two parts: EEG-ImageNet_1 and EEG-ImageNet_2. Each part contains data from 8 participants. Users can choose to use only one part based on their specific needs or device limitations.
 
 The EEG-ImageNet dataset contains a total of 87,850 EEG-image pairs from 16 participants. 
 Each EEG data sample has a size of (n\_channels, $f_s \cdot T$), where n\_channels is the number of EEG electrodes, which is 62 in our dataset; $f_s$ is the sampling frequency of the device, which is 1000 Hz in our dataset; and T is the time window size, which in our dataset is the duration of the image stimulus presentation, i.e., 0.5 seconds.