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Also ideally not only the required task/s should be implemented, but also releasing a dataset out of it would be nice, and apparently fairly straightforward if only relying on synthetic data AFAIK.
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Description
I think it would be nice to have an implementation of the synthetic data generation prompts / approach proposed in DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data, as it's a nice fit within
distilabel
.Also ideally not only the required task/s should be implemented, but also releasing a dataset out of it would be nice, and apparently fairly straightforward if only relying on synthetic data AFAIK.
The text was updated successfully, but these errors were encountered: