irds/disks45_nocr_trec-robust-2004_fold3

---
pretty_name: '`disks45/nocr/trec-robust-2004/fold3`'
viewer: false
source_datasets: ['irds/disks45_nocr']
task_categories:
- text-retrieval
---

# Dataset Card for `disks45/nocr/trec-robust-2004/fold3`

The `disks45/nocr/trec-robust-2004/fold3` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/disks45#disks45/nocr/trec-robust-2004/fold3).

# Data

This dataset provides:
- `queries` (i.e., topics); count=50
- `qrels`: (relevance assessments); count=62,901

- For `docs`, use [`irds/disks45_nocr`](https://huggingface.co/datasets/irds/disks45_nocr)

## Usage

```python
from datasets import load_dataset

queries = load_dataset('irds/disks45_nocr_trec-robust-2004_fold3', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/disks45_nocr_trec-robust-2004_fold3', 'qrels')
for record in qrels:
record # {'query_id': ..., 'doc_id': ..., 'relevance': ...}

```

Note that calling `load_dataset` will download the dataset (or provide access instructions when it's not public) and make a copy of the
data in 🤗 Dataset format.

## Citation Information

```
@misc{Voorhees1996Disks45,
title = {NIST TREC Disks 4 and 5: Retrieval Test Collections Document Set},
author = {Ellen M. Voorhees},
doi = {10.18434/t47g6m},
year = {1996},
publisher = {National Institute of Standards and Technology}
}
@inproceedings{Voorhees2004Robust,
title={Overview of the TREC 2004 Robust Retrieval Track},
author={Ellen Voorhees},
booktitle={TREC},
year={2004}
}
@inproceedings{Huston2014ACO,
title={A Comparison of Retrieval Models using Term Dependencies},
author={Samuel Huston and W. Bruce Croft},
booktitle={CIKM},
year={2014}
}
```

原始信息汇总

数据集卡片 disks45/nocr/trec-robust-2004/fold3

数据集概述

disks45/nocr/trec-robust-2004/fold3 数据集由 ir-datasets 包提供。

数据内容

该数据集包含以下内容：

• queries（即主题）：数量为 50。
• qrels（相关性评估）：数量为 62,901。

对于 docs，请使用 irds/disks45_nocr。

使用方法

以下是加载和使用该数据集的示例代码：

python from datasets import load_dataset

queries = load_dataset(irds/disks45_nocr_trec-robust-2004_fold3, queries) for record in queries: record # {query_id: ..., text: ...}

qrels = load_dataset(irds/disks45_nocr_trec-robust-2004_fold3, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ...}

注意：调用 load_dataset 将下载数据集（或提供非公开数据集的访问指令），并以 🤗 Dataset 格式创建数据副本。

引用信息

@misc{Voorhees1996Disks45, title = {NIST TREC Disks 4 and 5: Retrieval Test Collections Document Set}, author = {Ellen M. Voorhees}, doi = {10.18434/t47g6m}, year = {1996}, publisher = {National Institute of Standards and Technology} } @inproceedings{Voorhees2004Robust, title={Overview of the TREC 2004 Robust Retrieval Track}, author={Ellen Voorhees}, booktitle={TREC}, year={2004} } @inproceedings{Huston2014ACO, title={A Comparison of Retrieval Models using Term Dependencies}, author={Samuel Huston and W. Bruce Croft}, booktitle={CIKM}, year={2014} }