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@@ -30,10 +30,22 @@ This is a copy of the [MS^2](https://huggingface.co/datasets/allenai/mslr2022) d
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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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  - __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, in this case `k==25`
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+
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+ Retrieval results on the `train` set:
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+
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+ | Recall@100 | Rprec | Precision@k | Recall@k |
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+ | ----------- | ----------- | ----------- | ----------- |
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+ | 0.4764 | 0.2395 | 0.1932 | 0.2895 |
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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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+ | 0.4364 | 0.2125 | 0.1823 | 0.2524 |
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+
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+ Retrieval results on the `test` set:
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+
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+ | Recall@100 | Rprec | Precision@k | Recall@k |
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  | ----------- | ----------- | ----------- | ----------- |
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+ | 0.4481 | 0.2224 | 0.1943 | 0.2567 |