Update README.md

README.md

@@ -4,10 +4,12 @@ license: mit
 
 ## 〰️ AMAX-1: A Benchmark Dataset for UV-Vis Lambda Max Prediction in LC-MS
 
-AMAX-1 is an open source dataset designed to assist machine learning models in small molecule UV-Vis absorption maxima (λ<sub>max</sub>) prediction and LC-MS compound characterization workflows. Additionally, AMAX-1 includes ```.smi``` lists of 22,418 unique compounds and 356 unique solvents in the dataset for chemical descriptor calculations.
+AMAX-1 is an open source dataset designed to assist machine learning models in small molecule UV-Vis absorption maxima (λ<sub>max</sub>) prediction and LC-MS compound characterization workflows.
 
 This dataset is actively expanding with new experimental retention time values from the Coley Research Group at MIT, ensuring it remains a growing resource for optical property prediction.
 
+Additionally, AMAX-1 includes ```.smi``` lists of 22,418 unique compounds and 356 unique solvents in the dataset for chemical descriptor calculations.
+
 AMAX-1 is designed for use in:
 
 - Estimating retention times for new compound–environment combinations
@@ -21,8 +23,6 @@ The AMAX-1 dataset contains:
 - 40,016 unique molecule–environment combinations, the largest singular LC-MS retention time dataset of its kind to date
 - Experimentally measured λ<sub>max</sub> values in nm, curated from public datasets, benchmark papers, and literature
 
-If you use this dataset in your research, please cite:
-
 ## 📋 Data Sources Used
 
 Detailed information on the data sources comprising AMAX-1 can be found in the data folder.