---
pretty_name: '`beir/nfcorpus`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---
# Dataset Card for `beir/nfcorpus`
The `beir/nfcorpus` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/beir#beir/nfcorpus).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=3,633
- `queries` (i.e., topics); count=3,237
This dataset is used by: [`beir_nfcorpus_dev`](https://huggingface.co/datasets/irds/beir_nfcorpus_dev), [`beir_nfcorpus_test`](https://huggingface.co/datasets/irds/beir_nfcorpus_test), [`beir_nfcorpus_train`](https://huggingface.co/datasets/irds/beir_nfcorpus_train)
## Usage
```python
from datasets import load_dataset
docs = load_dataset('irds/beir_nfcorpus', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ..., 'title': ..., 'url': ...}
queries = load_dataset('irds/beir_nfcorpus', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ..., 'url': ...}
```
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
```
@inproceedings{Boteva2016Nfcorpus,
title="A Full-Text Learning to Rank Dataset for Medical Information Retrieval",
author = "Vera Boteva and Demian Gholipour and Artem Sokolov and Stefan Riezler",
booktitle = "Proceedings of the European Conference on Information Retrieval ({ECIR})",
location = "Padova, Italy",
publisher = "Springer",
year = 2016
}
@article{Thakur2021Beir,
title = "BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models",
author = "Thakur, Nandan and Reimers, Nils and Rücklé, Andreas and Srivastava, Abhishek and Gurevych, Iryna",
journal= "arXiv preprint arXiv:2104.08663",
month = "4",
year = "2021",
url = "https://arxiv.org/abs/2104.08663",
}
```
---
数据集展示名：`beir/nfcorpus`
查看器：未启用
源数据集：无
任务类别：
- 文本检索（text-retrieval）
---
# `beir/nfcorpus` 数据集卡片
本`beir/nfcorpus` 数据集由[ir-datasets](https://ir-datasets.com/)工具包提供。如需了解该数据集的更多详情，请参阅[官方文档](https://ir-datasets.com/beir#beir/nfcorpus)。
# 数据集内容
该数据集包含以下两类数据：
- `docs`（文档，即语料库）：总计3633条
- `queries`（查询项，即检索主题）：总计3237条
该数据集被以下子集使用：[`beir_nfcorpus_dev`](https://huggingface.co/datasets/irds/beir_nfcorpus_dev)、[`beir_nfcorpus_test`](https://huggingface.co/datasets/irds/beir_nfcorpus_test)以及[`beir_nfcorpus_train`](https://huggingface.co/datasets/irds/beir_nfcorpus_train)。
## 使用方法
python
from datasets import load_dataset
docs = load_dataset('irds/beir_nfcorpus', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ..., 'title': ..., 'url': ...}
queries = load_dataset('irds/beir_nfcorpus', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ..., 'url': ...}
请注意，调用`load_dataset`函数将自动下载该数据集（若数据集未公开，则会提供访问指引），并将数据转换为🤗 数据集格式进行存储。
## 引用信息
@inproceedings{Boteva2016Nfcorpus,
title="A Full-Text Learning to Rank Dataset for Medical Information Retrieval",
author = "Vera Boteva and Demian Gholipour and Artem Sokolov and Stefan Riezler",
booktitle = "Proceedings of the European Conference on Information Retrieval ({ECIR})",
location = "Padova, Italy",
publisher = "Springer",
year = 2016
}
@article{Thakur2021Beir,
title = "BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models",
author = "Thakur, Nandan and Reimers, Nils and Rücklé, Andreas and Srivastava, Abhishek and Gurevych, Iryna",
journal = "arXiv preprint arXiv:2104.08663",
month = "4",
year = "2021",
url = "https://arxiv.org/abs/2104.08663",
}
