Create README.md

README.md

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+---
+annotations_creators:
+- found
+language_creators:
+- found
+language:
+- en
+license:
+- unknown
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- original
+task_categories:
+- summarization
+task_ids:
+- summarization-other-paper-abstract-generation
+paperswithcode_id: multi-xscience
+pretty_name: Multi-XScience
+---
+
+This is a copy of the [Multi-XScience](https://huggingface.co/datasets/multi_x_science_sum) dataset, except the input source documents of its `test` split have been replaced by a __dense__ retriever.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`](https://huggingface.co/facebook/contriever-msmarco) via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) 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 this dataset
+
+Retrieval results on the `test` set:
+
+|ndcg | recall@100 | recall@1000 | Rprec |
+| ----------- | ----------- | ----------- | ----------- |
+| 0.3783 | 0.5229 | 0.7217 | 0.2081 |