cochrane_dense_oracle
收藏魔搭社区2025-11-27 更新2025-05-31 收录
下载链接:
https://modelscope.cn/datasets/allenai/cochrane_dense_oracle
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资源简介:
This is a copy of the [Cochrane](https://huggingface.co/datasets/allenai/mslr2022) dataset, except the input source documents of the `train`, `validation`, and `test` splits have been replaced by a __dense__ retriever.
- __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__: `"oracle"`, i.e. the number of documents retrieved, `k`, is set as the original number of input documents for each example
Retrieval results on the `train` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.7790 | 0.4487 | 0.4487 | 0.4487 |
Retrieval results on the `validation` set:
| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.7856 | 0.4424 | 0.4424 | 0.4424 |
Retrieval results on the `test` set:
N/A. Test set is blind so we do not have any queries.
本数据集为[Cochrane](https://huggingface.co/datasets/allenai/mslr2022)数据集的副本,仅将其`train`(训练集划分)、`validation`(验证集划分)与`test`(测试集划分)的输入源文档替换为**稠密检索器(dense retriever)**。
- **查询(query)**:对应每个示例的`target`字段
- **语料库(corpus)**:为`train`、`validation`和`test`划分中所有文档的并集,单篇文档由`title`(标题)与`abstract`(摘要)拼接而成。
- **检索器(retriever)**:采用[`facebook/contriever-msmarco`](https://huggingface.co/facebook/contriever-msmarco),通过[PyTerrier](https://pyterrier.readthedocs.io/en/latest/)以默认配置运行。
- **Top-K检索策略(top-k strategy)**:采用"oracle"(神谕)策略,即检索返回的文档数`k`被设置为每个示例原始的输入文档数量。
训练集检索结果:
| 召回率@100(Recall@100) | R值精确率(Rprec) | 精确率@k(Precision@k) | 召回率@k(Recall@k) |
| ----------- | ----------- | ----------- | ----------- |
| 0.7790 | 0.4487 | 0.4487 | 0.4487 |
验证集检索结果:
| 召回率@100(Recall@100) | R值精确率(Rprec) | 精确率@k(Precision@k) | 召回率@k(Recall@k) |
| ----------- | ----------- | ----------- | ----------- |
| 0.7856 | 0.4424 | 0.4424 | 0.4424 |
测试集检索结果:
N/A。测试集为盲测集,因此无可用查询数据。
提供机构:
maas
创建时间:
2025-05-28



