---
title: cochrane_dense_mean
canonical_url: "https://www.modelscope.cn/datasets/allenai/cochrane_dense_mean"
md_url: "https://www.modelscope.cn/datasets/allenai/cochrane_dense_mean.md"
repository: allenai/cochrane_dense_mean
last_updated: 2025-05-27
license: "Apache License 2.0"
storage_size: "32 MB"
downloads: 574
stars: 0
---

# cochrane_dense_mean

> cochrane_dense_mean - allenai 在 ModelScope 开源的数据集。This is a copy of the Cochrane dataset, except the input source documents of its train, validation and test splits have been replaced by a dense retriever. The retrieval pipeline used:

allenai/cochrane_dense_mean 是 ModelScope 魔搭社区上的数据集，存储大小 32 MB，采用 Apache License 2.0 许可。

- **Repository**: allenai/cochrane_dense_mean
- **License**: Apache License 2.0
- **Storage size**: 32 MB
- **Downloads**: 574
- **Stars**: 0
- **Last updated**: 2025-05-27

Source: https://www.modelscope.cn/datasets/allenai/cochrane_dense_mean

---

This is a copy of the [Cochrane](https://huggingface.co/datasets/allenai/mslr2022) dataset, except the input source documents of its `train`, `validation` and `test` splits have been replaced by a __dense__ retriever. The retrieval pipeline used:

- __query__: The `target` field of each example
- __corpus__: The union of all documents in the `train`, `validation` and `test` splits. A document is the concatenation of the `title` and `abstract`.
- __retriever__: [`facebook/contriever-msmarco`](https://huggingface.co/facebook/contriever-msmarco) via [PyTerrier](https://pyterrier.readthedocs.io/en/latest/) with default settings
- __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==9`

Retrieval results on the `train` set:

| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.7790 | 0.4487 | 0.3438 | 0.4800 |

Retrieval results on the `validation` set:

| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.7856 | 0.4424 | 0.3534 | 0.4913 |

Retrieval results on the `test` set:

N/A. Test set is blind so we do not have any queries.