irds/beir_fiqa_train

---
pretty_name: '`beir/fiqa/train`'
viewer: false
source_datasets: ['irds/beir_fiqa']
task_categories:
- text-retrieval
---

# Dataset Card for `beir/fiqa/train`

The `beir/fiqa/train` 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/fiqa/train).

# Data

This dataset provides:
- `queries` (i.e., topics); count=5,500
- `qrels`: (relevance assessments); count=14,166

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

## Usage

```python
from datasets import load_dataset

queries = load_dataset('irds/beir_fiqa_train', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ...}

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

```

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

```
@article{Maia2018Fiqa,
title={WWW'18 Open Challenge: Financial Opinion Mining and Question Answering},
author={Macedo Maia and S. Handschuh and A. Freitas and Brian Davis and R. McDermott and M. Zarrouk and A. Balahur},
journal={Companion Proceedings of the The Web Conference 2018},
year={2018}
}
@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",
}
```

原始信息汇总

数据集概述

数据集名称

beir/fiqa/train

数据来源

• 来源：ir-datasets
• 原始数据集：irds/beir_fiqa

数据内容

• queries: 查询数据，共计5,500条
• qrels: 相关性评估数据，共计14,166条
• docs: 文档数据，需从irds/beir_fiqa获取

数据使用示例

python from datasets import load_dataset

加载查询数据

queries = load_dataset(irds/beir_fiqa_train, queries) for record in queries: record # {query_id: ..., text: ...}

加载相关性评估数据

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

引用信息

@article{Maia2018Fiqa, title={WWW18 Open Challenge: Financial Opinion Mining and Question Answering}, author={Macedo Maia and S. Handschuh and A. Freitas and Brian Davis and R. McDermott and M. Zarrouk and A. Balahur}, journal={Companion Proceedings of the The Web Conference 2018}, year={2018} } @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", }