Update README.md

README.md

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 This is a scaled-up version of the checkpoint originally presented in our preprint. We will include results with this checkpoint in the appendix of our next preprint update. This model has 12 layers with 12 attention heads each. 
 
 Trained with larger dataset of multiple initial conditions per system, with mixed periods as well. 
-Specifically, using 8 out of the 16 initial conditions (ICs) per system that we provide in our [skew-mixedp-ic16 dataset](https://huggingface.co/datasets/GilpinLab/skew-mixedp-ic16).
+Specifically, we include 8 out of the 16 initial conditions (ICs) per system that we provide in our [skew-mixedp-ic16 dataset](https://huggingface.co/datasets/GilpinLab/skew-mixedp-ic16), in addition to other datasets.
 
 We provide a full reproduction of the dataset used to train Panda-72M, in https://huggingface.co/datasets/GilpinLab/dataset-panda72M-repro