Update README.md

README.md

@@ -48,7 +48,7 @@ The USPTO OCSR Benchmark was created to serve as a high-quality validation set f
 
 The original distribution included the images, their corresponding MOL files, and a Perl script for benchmarking performance by comparing the standard InChI of predicted structures against the ground truth. This Hugging Face version processes the curated MOL files to generate additional, widely-used chemical representations—canonical SMILES, InChI, and SELFIES—making it immediately useful for training modern deep learning models on image-to-text tasks.
 
-- **Curated by:** Original set by Dr. Steve Boyer and Dr. John Kinney. Updated by Aniko Valko and Keymodule Ltd. This Hugging Face version prepared by [Your Name/Handle, e.g., hheiden].
+- **Curated by:** Original set by Dr. Steve Boyer and Dr. John Kinney. Updated by Aniko Valko and Keymodule Ltd. This Hugging Face version prepared by Hunter Heidenreich.
 - **License:** Data sourced from the US Patent Office is typically in the public domain. No explicit license was provided with the original dataset.
 
 ### Dataset Sources
@@ -131,7 +131,7 @@ If you use this dataset, please consider citing the original OSRA paper, as the
 }
 
 @misc{huggingface_dataset_USPTO,
-  author = {[Your Name/Handle]},
+  author = {Heidenreich, Hunter},
   title = {USPTO OCSR Benchmark},
   year = {2025},
   publisher = {Hugging Face},