Update README.md

README.md

@@ -10,7 +10,7 @@ Arxiver consists of 63,357 [arXiv](https://arxiv.org/) papers converted to multi
 We hope our dataset will be useful for various applications such as semantic search, domain specific language modeling, question answering and summarization.
 
 ## Curation
-The Arxiver dataset is created using a neural OCR - [Nougat](https://facebookresearch.github.io/nougat/). After OCR processing, we apply custom text processing steps to refine the data. This includes extracting author information, removing reference sections, and performing additional cleaning and formatting.
+The Arxiver dataset is created using a neural OCR - [Nougat](https://facebookresearch.github.io/nougat/). After OCR processing, we apply custom text processing steps to refine the data. This includes extracting author information, removing reference sections, and performing additional cleaning and formatting. Please refer to our GitHub [repo](https://github.com/neuralwork/arxiver) for details.
 
 ## Using Arxiver
 You can easily download and use the arxiver dataset with Hugging Face's [datasets](https://huggingface.co/datasets) library.