Customer reviews collected from wayfair.com, accompanying the paper 'End-to-End Aspect-Guided Review Summarization at Scale' accepted to EMNLP 2025. The dataset supports tasks such as aspect extraction and product-level summarization and can be combined with a companion product summaries dataset. It was uploaded by al5nfsharyh and last updated on December 11, 2025.
Use Cases
- Aspect extraction from customer review text as mentioned in the description.
- Product-level review summarization based on the product_id field.
- Training or evaluating end-to-end aspect-guided summarization models.
- Combining review data with companion product summaries for multi-task analysis.
Strengths
- Dataset is associated with a peer-reviewed paper accepted to EMNLP 2025.
- Platform tags indicate the dataset is in English and from the US region.
- Platform tags suggest a large scale, categorized as '10 Mn100 M'.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count, file formats, and license information are unknown, which may limit suitability assessment.
Provenance
- Source
- wayfair.com
- Collection Method
- Collected customer reviews, likely via web scraping.
- Time Range
- null
- Freshness
- Last updated 2025-12-11 05:35:07.
- Geography
- Regionus platform tag suggests a US focus.