Create README.md

README.md

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+---
+annotations_creators:
+- expert-generated
+language_creators:
+- expert-generated
+language:
+- en
+license:
+- apache-2.0
+multilinguality:
+- monolingual
+size_categories:
+- 10K<n<100K
+source_datasets:
+- extended|other-MS^2
+- extended|other-Cochrane
+task_categories:
+- summarization
+- text2text-generation
+task_ids:
+- summarization-other-query-based-summarization 
+- summarization-other-query-based-multi-document-summarization
+- summarization-other-scientific-documents-summarization
+paperswithcode_id: multi-document-summarization
+pretty_name: MSLR Shared Task
+---
+
+This is a copy of the [MS^2](https://huggingface.co/datasets/allenai/mslr2022) dataset, except the input source documents of its `validation` split have been replaced by a __sparse__ retriever. The retrieval pipeline used:
+
+- __query__: The `background` 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](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 |
+| ----------- | ----------- | ----------- | ----------- |
+| 0.4012 | 0.3780 | 0.6601 | 0.1833 |