Update README.md

README.md

@@ -9,7 +9,7 @@ In this process, we identify two key challenges: (1) constructing high-quality C
 
 Applying this strategy, we present SciLitLLM-7B, specialized in scientific literature understanding, which demonstrates promising performance on scientific literature understanding benchmarks. Specifically, it shows an average performance improvement of 3.6\% on SciAssess and 10.1\% on SciRIFF compared to leading LLMs with fewer than 15B parameters.
 
-See the [paper](https://arxiv.org/abs/2408.15545) for more details.
+See the [paper](https://arxiv.org/abs/2408.15545) for more details and [github](https://github.com/dptech-corp/Uni-SMART) for data processing codes.
 
 ## Requirements
 Since SciLitLLM is based on Qwen2, we advise you to install `transformers>=4.37.0`, or you might encounter the following error: