Update README.md

README.md

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----
-license: mit
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-
-## 〰️ 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.
-
-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.
-
-AMAX-1 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-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.
-
-## ✒️ Citation
-
-If you use this code in a project, please cite the following:
-
-```
-@dataset{natelgrwamax1dataset,
-  title={ReTiNA-1: A Benchmark Dataset for LC-MS Retention Time Modeling},
-  author={Leung, Nathan},
-  year={2025},
-  howpublished={\url{https://huggingface.co/datasets/natelgrw/AMAX-1}}
-}
+---
+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.
+
+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.
+
+AMAX-1 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-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.
+
+## ✒️ Citation
+
+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},
+  author={Leung, Nathan},
+  year={2025},
+  howpublished={\url{https://huggingface.co/datasets/natelgrw/AMAX-1}}
+}
 ```