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Table · dataset · 2022

Multi-News

Listed in Hugging Face Datasets

Description

This is a copy of the Multi-News dataset, except the input source documents of the train, validation, and test splits have been replaced by a dense retriever. The retrieval pipeline used: query: The summary field of each example corpus: The union of all documents in the train, validation and test splits retriever: facebook/contriever-msmarco via PyTerrier with default settings top-k strategy: "oracle", i.e. the number of documents retrieved, k, is set as the original number of input documents… See the full description on the dataset page: huggingface.co/datasets/allenai/multinews_dense_oracle.

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Catalogue records · 1

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Stated by source
summarization · text
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsallenai/multinews_dense_oracle10 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[task].hf_task:summarizationsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0