This is a copy of the Multi-XScience dataset, except the input source documents of its test split have been replaced by a dense retriever. The retrieval pipeline used:
query: The related_work 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: "max", i.e. the number of documents retrieved, k, is set as the maximum number of documents seen across examples in… See the full description on the dataset page:
https://huggingface.co/datasets/allenai/multixscience_dense_max.