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+ ---
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+ annotations_creators:
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+ - found
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+ language_creators:
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+ - found
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+ language:
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+ - en
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+ license:
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+ - unknown
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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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+ - original
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+ task_categories:
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+ - summarization
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+ task_ids:
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+ - summarization-other-paper-abstract-generation
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+ paperswithcode_id: multi-xscience
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+ pretty_name: Multi-XScience
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+ ---
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+
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+ 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dataset, except the input source documents of its `test` split have been replaced by a __sparse__ retriever. The retrieval pipeline used:
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+
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+ - __query__: The `related_work` field of each example
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+ - __corpus__: The union of all documents in the `train`, `validation` and `test` splits
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+ - __retriever__: BM25 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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+
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+ Retrieval results on the `test` set:
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+
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+ |ndcg | recall@100 | recall@1000 | Rprec |
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+ | ----------- | ----------- | ----------- | ----------- |
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+ | 0.2327 | 0.2999 | 0.3829 | 0.1452 |