Datasets:
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README.md
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---
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annotations_creators:
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- expert-generated
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language_creators:
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- expert-generated
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language:
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- en
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license:
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- apache-2.0
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multilinguality:
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- monolingual
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size_categories:
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- 10K<n<100K
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source_datasets:
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- extended|other-MS^2
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- extended|other-Cochrane
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task_categories:
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- summarization
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- text2text-generation
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task_ids:
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- summarization-other-query-based-summarization
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- summarization-other-query-based-multi-document-summarization
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- summarization-other-scientific-documents-summarization
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paperswithcode_id: multi-document-summarization
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pretty_name: MSLR Shared Task
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---
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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dataset, except the input source documents of its `validation` split have been replaced by a __dense__ retriever. The retrieval pipeline used:
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- __query__: The `background` field of each example
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- __corpus__: The union of all documents in the `train`, `validation` and `test` splits. A document is the concatenation of the `title` and `abstract`.
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- __retriever__: [`facebook/contriever-msmarco`](https://huggingface.co/facebook/contriever-msmarco) via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings
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- __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
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Retrieval results on the `validation` set:
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|ndcg | recall@100 | recall@1000 | Rprec |
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| ----------- | ----------- | ----------- | ----------- |
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| 0.4565 | 0.4364 | 0.728 | 0.2133 |
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