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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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paperswithcode_id: multi-xscience |
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pretty_name: Multi-XScience |
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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dataset, except the input source documents of its `test` split have been replaced by a __dense__ retriever. The retrieval pipeline used: |
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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__: [`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, in this case `k==20` |
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Retrieval results on the `train` set: |
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| Recall@100 | Rprec | Precision@k | Recall@k | |
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| ----------- | ----------- | ----------- | ----------- | |
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| 0.5270 | 0.2005 | 0.0573 | 0.3785 | |
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Retrieval results on the `validation` set: |
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| Recall@100 | Rprec | Precision@k | Recall@k | |
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| ----------- | ----------- | ----------- | ----------- | |
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| 0.5310 | 0.2026 | 0.059 | 0.3831 | |
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Retrieval results on the `test` set: |
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| Recall@100 | Rprec | Precision@k | Recall@k | |
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| ----------- | ----------- | ----------- | ----------- | |
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| 0.5229 | 0.2081 | 0.058 | 0.3794 | |
