cochrane_dense_max

This is a copy of the [Cochrane](https://huggingface.co/datasets/allenai/mslr2022) dataset, except the input source documents of its `validation` split have been replaced by a __dense__ retriever.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==25`

Retrieval results on the `train` set:

| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.7790 | 0.4487 | 0.1959 | 0.6268 |

Retrieval results on the `validation` set:

| Recall@100 | Rprec | Precision@k | Recall@k |
| ----------- | ----------- | ----------- | ----------- |
| 0.7856 | 0.4424 | 0.1995 | 0.6433 |

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)的复刻版本，仅将其`validation`（验证集）划分的输入源文档替换为**稠密**检索器所获取的文档。所用检索流程如下：
- **查询（query）**：每个样本的`target`（目标）字段
- **语料库（corpus）**：`train`（训练集）、`validation`（验证集）与`test`（测试集）划分下的全部文档的并集。单篇文档由`title`（标题）与`abstract`（摘要）拼接而成。
- **检索器（retriever）**：基于[PyTerrier](https://pyterrier.readthedocs.io/en/latest/)，采用默认配置的[facebook/contriever-msmarco](https://huggingface.co/facebook/contriever-msmarco)
- **Top-k策略（top-k strategy）**：采用`"max"`策略，即检索文档数`k`被设置为该数据集所有样本中所见的最大文档数，本次场景下`k=25`

训练集检索性能如下：
| 召回率@100（Recall@100） | R准确率（Rprec） | 准确率@k（Precision@k） | 召回率@k（Recall@k） |
| ----------- | ----------- | ----------- | ----------- |
| 0.7790 | 0.4487 | 0.1959 | 0.6268 |

验证集检索性能如下：
| 召回率@100（Recall@100） | R准确率（Rprec） | 准确率@k（Precision@k） | 召回率@k（Recall@k） |
| ----------- | ----------- | ----------- | ----------- |
| 0.7856 | 0.4424 | 0.1995 | 0.6433 |

测试集检索结果：N/A。测试集为盲集，无可用查询数据。