Instruction: Discuss strategies for managing and processing large amounts of text data.
Context: This question aims to assess the candidate's practical skills in dealing with big data challenges in NLP.
Official answer available
Preview the opening of the answer, then unlock the full walkthrough.
I would handle large NLP datasets by focusing on pipeline efficiency, data quality, and staged processing rather than just throwing more hardware at the problem. That usually means streaming or batching data, careful preprocessing, deduplication, sampling...