Datasets:
Tasks:
Text Retrieval
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---
pretty_name: '`beir/fiqa`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---
# Dataset Card for `beir/fiqa`
The `beir/fiqa` 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).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=57,638
- `queries` (i.e., topics); count=6,648
This dataset is used by: [`beir_fiqa_dev`](https://huggingface.co/datasets/irds/beir_fiqa_dev), [`beir_fiqa_test`](https://huggingface.co/datasets/irds/beir_fiqa_test), [`beir_fiqa_train`](https://huggingface.co/datasets/irds/beir_fiqa_train)
## Usage
```python
from datasets import load_dataset
docs = load_dataset('irds/beir_fiqa', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ...}
queries = load_dataset('irds/beir_fiqa', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ...}
```
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",
}
```
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