This dataset was built from Amazon product reviews and curated into an instruction-tuning format for structured pros and cons extraction.
The pipeline includes:
Raw data loading → Extract asin, reviewText.
Preprocessing → Clean, filter, and truncate each (10–150 words).
Grouping → Aggregate reviews by product.
Selection → Shuffle and select 10
Filtering → Keep 5–15 reviews per product.
Selection → Shuffle and keep 10k rows to make final dataset.
Summarization →… See the full description on the dataset page:
https://huggingface.co/datasets/sdelowar2/product_reviews_insight_10k.