Update README.md

README.md

@@ -2,23 +2,23 @@
 license: mit
 ---
 
-## 〰️ AMAX-1: A Benchmark Dataset for UV-Vis Lambda Max Prediction in LC-MS
+## 〰️ AMAX: 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.
+AMAX 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.
+Additionally, AMAX 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:
+AMAX is designed for use in:
 
 - Estimating retention times for new compound–environment combinations
 - Aiding in peak assignment in LC-MS method development
 - Training ML models for retention time prediction under specific conditions
 
-## 📈 The AMAX-1 Dataset
+## 📈 The AMAX Dataset
 
-The AMAX-1 dataset contains:
+The AMAX 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
@@ -33,10 +33,10 @@ If you use this code in a project, please cite the following:
 
 ```
 @dataset{natelgrwamax1dataset,
-  title={AMAX-1: A Benchmark Dataset for UV-Vis Lambda Max Prediction in LC-MS},
+  title={AMAX: A Benchmark Dataset for UV-Vis Lambda Max Prediction in LC-MS},
   author={Leung, Nathan},
   institution={Coley Research Group @ MIT}
   year={2025},
-  howpublished={\url{https://huggingface.co/datasets/natelgrw/AMAX-1}}
+  howpublished={\url{https://huggingface.co/datasets/natelgrw/AMAX}}
 }
 ```