This is a copy of the Cochrane dataset, except the input source documents of its validation split have been replaced by a sparse retriever. The retrieval pipeline used:
query: The target field of each example
corpus: The union of all documents in the train, validation and test splits. A document is the concatenation of the title and abstract.
retriever: BM25 via PyTerrier with default settings
top-k strategy: "oracle", i.e. the number of documents retrieved, k, is set as the original number… See the full description on the dataset page:
https://huggingface.co/datasets/allenai/cochrane_sparse_oracle.