splitsusesSplitSizesrdf:typeOther subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. “X motherOf this subject” — and answer questions the forward facts can't. Grouped by predicate.
isObtainedFromIs Obtained From(4)ex:train_combined_inputsex:train_labelsex:val_combined_inputsex:val_labelssplitFunctionSplit Function(1)ex:train_combined_inputsTimeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
doc:beam/23009db1-c526-4b01-963c-b2c7b2736c5bcombined_inputs = torch.cat([inputs, combined_user_behavior], dim=1) # Split data into training and validation sets train_size = int(0.8 * len(combined_inputs)) val_size = len(combined_inputs) - train_size train_combined_inputs, val_combi…
doc:beam/212294fd-6444-48ea-90be-0ccd48cb9cc3combined_inputs = torch.cat([inputs, user_behavior], dim=1) # Split data into training and validation sets train_size = int(0.8 * len(combined_inputs)) val_size = len(combined_inputs) - train_size train_combined_inputs, val_combined_input…
doc:beam/9344edde-d6af-464f-9e96-394ef09895b9# Concatenate existing inputs with user behavior data combined_inputs = torch.cat([inputs, user_behavior], dim=1) # Split data into training and validation sets train_size = int(0.8 * len(combined_inputs)) val_size = len(combined_inputs) -…
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