Update README.md

README.md

@@ -37,26 +37,24 @@ This dataset is designed for machine learning research involving phenomena influ
 
 ## Data Splits
 
-This dataset is provided as a collection of daily TAR files. No predefined training, validation, or test splits are provided. Users are encouraged to define their own splits according to their specific research requirements, such as by date ranges (e.g., specific years or months of year for training/validation/testing) or by solar events.
+This dataset is provided as a collection of daily `.tar` files. No predefined training, validation, or test splits are provided. Users are encouraged to define their own splits according to their specific research requirements, such as by date ranges (e.g., specific years or months of year for training/validation/testing) or by solar events.
 
 ## 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.
 
-**Inside each daily TAR file:**
-Files are organized with a path structure that WebDataset uses as the `__key__`. For example, files for May 13, 2010, at 00:00 UTC would be:
-* `2010/05/13/0000.aia_0131.npy`
-* `2010/05/13/0000.aia_0171.npy`
-* `2010/05/13/0000.aia_0193.npy`
-* `2010/05/13/0000.aia_0211.npy`
-* `2010/05/13/0000.aia_1600.npy`
-* `2010/05/13/0000.hmi_m.npy`
+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.
 
-And for 00:15 UTC on the same day:
-* `2010/05/13/0015.aia_0131.npy`
-* ...and so on.
+```
+YYYY/MM/DD/HHMM.aia_131.npy
+YYYY/MM/DD/HHMM.aia_171.npy
+YYYY/MM/DD/HHMM.aia_193.npy
+YYYY/MM/DD/HHMM.aia_211.npy
+YYYY/MM/DD/HHMM.aia_1600.npy
+YYYY/MM/DD/HHMM.hmi_m.npy
+```
 
-Each `.npy` file contains a 2D NumPy array of shape `(512, 512)` with `float32` values, representing the solar image. 
+Each `.npy` file stores a single-channel 512×512 image.
 
 ### Features