{"url":"/dataset/lsars","name":"LSARS","full_name":"Large Scale Abstractive multi-Review Summarization","description_markdown":"In an active e-commerce environment, customers process a large number of reviews when deciding on whether to buy a product or not. Abstractive Multi-Review Summarization aims to assist users to efficiently consume the reviews that are the most relevant to them. We propose the first large-scale abstractive multi-review summarization dataset that leverages more than 17.9 billion raw reviews and uses novel aspect-alignment techniques based on aspect annotations. Furthermore, we demonstrate that one can generate higher-quality review summaries by using a novel aspect-alignment-based model. Results from both automatic and human evaluation show that the proposed dataset plus the innovative aspect-alignment model can generate high-quality and trustful review summaries.\r\n\r\nPaper: [Large Scale Abstractive Multi-Review Summarization (LSARS) via Aspect Alignment](https://dl.acm.org/doi/abs/10.1145/3397271.3401439)","description_withheld":null,"homepage":"https://github.com/ScarletPan/LSARS","introduced_date":"2021-04-07","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Summarization","url":"/task/text-summarization","datasets_with_task":"/datasets/task/text-summarization"},{"name":"Multi-Document Summarization","url":"/task/multi-document-summarization","datasets_with_task":"/datasets/task/multi-document-summarization"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["LSARS"],"data_loaders":[{"repo":"https://github.com/ScarletPan/LSARS","url":"https://github.com/ScarletPan/LSARS","frameworks":[]}],"num_papers_in_archive":0,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}