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README.md

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 SciTulu is a collection of instruction-following language models targeting scientific literature understanding use cases. Starting from the [Tulu v2 7B](https://huggingface.co/allenai/tulu-2-7b) model, SciTulu is trained on a mix of science-specific demonstrations from the [SciRIFF dataset](https://huggingface.co/datasets/allenai/SciRIFF-train-mix), together with general-domain instructions from the [Tulu v2 SFT mix](https://huggingface.co/datasets/allenai/tulu-v2-sft-mixture). SciTulu 7B achives a 28.1% average improvement over Tulu v2 7B on nine held-out scientific literature understanding tasks. More information can be found in our preprint: [SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature](https://arxiv.org/abs/2406.07835).
 
-Training and evaluation code for SciTulu is available in our GitHub repository: https://huggingface.co/datasets/allenai/SciRIFF.
+Training and evaluation code for SciTulu is available in our GitHub repository: https://github.com/allenai/SciRIFF.
 
 See the [Tulu model card](https://huggingface.co/allenai/tulu-2-7b) for more information on potential risks, biases, and limitations.