WCEP-10

This is a copy of the WCEP-10 dataset, except the input source documents of its test split have been replaced by a sparse retriever.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: BM25 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 for each example Retrieval results on the train… See the full description on the dataset page: huggingface.co/datasets/allenai/wcep_sparse_oracle.