Update README.md

README.md

@@ -48,9 +48,9 @@ This dataset is designed for machine learning research involving phenomena influ
 
 ## Dataset Structure
 
-The dataset is organized into 5194 TAR files, with one TAR file per day within the temporal coverage period. Each daily TAR file contains multiple observation sets, one for every 15-minute interval of that day (up to 96 observation sets per day). An observation set consists of 6 NumPy (`.npy`) files, one for each specified channel.
+The dataset is organized into 5194 `.tar` files, with one `.tar` file per day within the temporal coverage period. Each daily `.tar` file contains multiple observation sets, one for every 15-minute interval of that day (up to 96 observation sets per day). An observation set consists of 6 NumPy (`.npy`) files, one for each specified channel.
 
-Each `.tar` file corresponds to one day of data and contains one `.npy` file per channel, per 15-minute timestamp. For each timestamp, the internal file path has the following structure. In WebDataset convention, the `YYYY/MM/DD/HHMM` substring of the path becomes the key for each data sample, and the `aia_0131.npy`, `aia_0171.npy`, `aia_0193.npy`, `aia_0211.npy`, `aia_1600.npy`, `hmi_m.npy` substrings become the names of the features for a given sample.
+Each `.tar` file corresponds to one day of data and contains one `.npy` file per channel, per 15-minute timestamp. For each timestamp, the internal file path has the following structure.
 
 ```
 YYYY/MM/DD/HHMM.aia_131.npy
@@ -61,7 +61,7 @@ YYYY/MM/DD/HHMM.aia_1600.npy
 YYYY/MM/DD/HHMM.hmi_m.npy
 ```
 
-Each `.npy` file stores a single-channel 512×512 image.
+In WebDataset convention, the `YYYY/MM/DD/HHMM` substring of the path becomes the key for each data sample, and the `aia_0131.npy`, `aia_0171.npy`, `aia_0193.npy`, `aia_0211.npy`, `aia_1600.npy`, `hmi_m.npy` substrings become the names of the features for a given sample. Each `.npy` file stores a single-channel 512×512 image.
 
 ### Features