irds/nfcorpus_dev_video

---
pretty_name: '`nfcorpus/dev/video`'
viewer: false
source_datasets: ['irds/nfcorpus']
task_categories:
- text-retrieval
---

# Dataset Card for `nfcorpus/dev/video`

The `nfcorpus/dev/video` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/nfcorpus#nfcorpus/dev/video).

# Data

This dataset provides:
- `queries` (i.e., topics); count=102
- `qrels`: (relevance assessments); count=3,068

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

## Usage

```python
from datasets import load_dataset

queries = load_dataset('irds/nfcorpus_dev_video', 'queries')
for record in queries:
record # {'query_id': ..., 'title': ..., 'desc': ...}

qrels = load_dataset('irds/nfcorpus_dev_video', '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

```
@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
}
```

原始信息汇总

数据集概述

数据集名称

nfcorpus/dev/video

数据来源

• 源数据集：irds/nfcorpus

数据内容

• queries（查询主题）：数量=102
• qrels（相关性评估）：数量=3,068
• docs（文档）：使用irds/nfcorpus数据集

数据使用示例

python from datasets import load_dataset

queries = load_dataset(irds/nfcorpus_dev_video, queries) for record in queries: record # {query_id: ..., title: ..., desc: ...}

qrels = load_dataset(irds/nfcorpus_dev_video, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ...}

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 }