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Related Questions
- What are the key factors to consider when selecting a diverse and representative dataset for annotation?
- How can data curation teams ensure that their annotations are free from biases and stereotypes?
- What strategies can be employed to increase the representation of underrepresented groups in the annotated dataset?
- How can data curation teams measure the diversity and representativeness of their annotations?
- What is the role of active learning in ensuring that annotations are diverse and representative?
- How can data curation teams use multiple annotation sources to increase the diversity and representativeness of their dataset?
- What are the implications of using a single annotator or a small team of annotators on the diversity and representativeness of the annotations?
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