Update README.md

README.md

@@ -125,12 +125,12 @@ ensure that the dataset is loaded with the corresponding seed for consistency.
 ## Using your own data
 
 Note that the data in the AstroM3Processed dataset is already pre-processed.  
-So if you want to use the model, you must pre-process your data in the same way:
+If you want to use the model with your own data, you must pre-process it in the same way:
 
 1. **Spectra**: Each spectrum is interpolated to a fixed wavelength grid (3850–9000 Å), normalized using mean and MAD, and log-MAD is added as an auxiliary feature.
 2. **Photometry**: Light curves are deduplicated, sorted by time, normalized using mean and MAD, time-scaled to [0, 1], and augmented with auxiliary features like log-MAD and time span.
 3. **Metadata**: Scalar metadata is transformed via domain-specific functions (e.g., absolute magnitude, log, sin/cos), then normalized using dataset-level statistics.
 
 For a detailed description, read the [paper](https://arxiv.org/abs/2411.08842).  
-To see exactly how we performed this preprocessing, reference [`preprocess.py`](https://huggingface.co/datasets/AstroFOMO/AstroM3Dataset/blob/main/preprocess.py) from the AstroM3Dataset repo.
+To see exactly how we performed this preprocessing, refer to [`preprocess.py`](https://huggingface.co/datasets/AstroFOMO/AstroM3Dataset/blob/main/preprocess.py) in the AstroM3Dataset repo.