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You should select only the most informative attributes. These could be:

• The ones you used during the annotation process to decide which attribute value should be assigned to each product.
• The ones you as a domain expert believe contain useful information regarding the new attribute.

Remember, it is always best to start simple. Adding a training attribute which does not contain any useful information regarding the new attribute would only introduce unnecessary noise in the model input. Hence, the performance would most likely drop instead of improving with the addition of unneeded attributes. We suggest starting with just a single attribute and iteratively adding further ones until the model performance stops increasing.