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allenai
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multinews_sparse_mean

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news-articles-summarization

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johngiorgi commited on Nov 3, 2022

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@@ -39,10 +39,10 @@ This is a copy of the [Multi-News](https://huggingface.co/datasets/multi_news) d
 - __query__: The `summary` field of each example
 - __corpus__: The union of all documents in the `train`, `validation` and `test` splits
 - __retriever__: BM25 via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings
-- __top-k strategy__: `"mean"`, i.e. the number of documents retrieved, `k`, is set as the mean number of documents seen across examples in this dataset
 Retrieval results on the `test` set:
-|ndcg | recall@100 | recall@1000 | Rprec |
 | ----------- | ----------- | ----------- | ----------- |
-| 0.8532 | 0.8775 | 0.8964 | 0.748 |

 - __query__: The `summary` field of each example
 - __corpus__: The union of all documents in the `train`, `validation` and `test` splits
 - __retriever__: BM25 via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings
+- __top-k strategy__: `"mean"`, i.e. the number of documents retrieved, `k`, is set as the mean number of documents seen across examples in this dataset, in this case `k==3`
 Retrieval results on the `test` set:
+| Recall@100 | Rprec | Precision@k | Recall@k |
 | ----------- | ----------- | ----------- | ----------- |
+| 0.878 | 0.748 | 0.637 | 0.744 |