Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). QBSUM: A large-scale query-based document summarization dataset from real-world applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/qbsum-a-large-scale-query-based-document-summarization-dataset-from-real-world-applications
MLA“QBSUM: A large-scale query-based document summarization dataset from real-world applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/qbsum-a-large-scale-query-based-document-summarization-dataset-from-real-world-applications.
BibTeX@misc{4ortxyz_qbsum-a-large-scale-query-based-document-summarization-dataset-from-real-world-applications_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{QBSUM: A large-scale query-based document summarization dataset from real-world applications}}, year = {2026}, url = {https://4ort.xyz/entity/qbsum-a-large-scale-query-based-document-summarization-dataset-from-real-world-applications}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): QBSUM: A large-scale query-based document summarization dataset from real-world applications — https://4ort.xyz/entity/qbsum-a-large-scale-query-based-document-summarization-dataset-from-real-world-applications (retrieved 2026-05-24)
