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Another area of concern relates to the redistribution and usage of pre-trained models and datasets through the PyTDC platform. Given the diverse licensing terms associated with pre-trained models (some under open-source licenses, others with academic or non-commercial restrictions), how does PyTDC plan to:
Clearly surface licensing terms and permissible use when users retrieve models especially through python editors?
Ensure that models with restrictive licensing (e.g., non-commercial, academic use only) are not inadvertently used in ways that violate their original licenses?
Including a transparent licensing and provenance management layer would greatly enhance trust, reproducibility, and adoption in both academic and commercial settings, particularly for users in regulated industries like pharmaceutical research.
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