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What makes an auxiliary data source inconsistent with the main task?
Question: In a document-classification project, what would make a secondary dataset inconsistent with the main task?
Sample answer: A secondary dataset is inconsistent when the same input features could require different labels depending on which dataset the example came from.
Key points:
- The feature representation is the same.
- The label associated with those features changes across data sources.
Rubric: The answer should state that inconsistency means identical inputs can map to different outputs depending on the source dataset.
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