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I think it would be good to have the rxn SMILES as an identifier such that we can aggregate on this across all rxn datasets. However, for rxns, I would go via prompt templates that you can specify in the yml. That is, we would, by default, sample a prompt that uses rxn-SMILES and one of the targets (here yield) to construct a prompt. However, you might suggest more that leverage the structure of this dataset.
I can later (this weekend) commit an example of this to your PR if this helps!
Data from https://www.science.org/doi/10.1126/science.aar5169 for reaction yield prediction task.
I will take care of that.
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