README.md

---
pretty_name: '`beir/arguana`'
viewer: false
---

# Dataset Card for `beir/arguana`

The `beir/arguana` IR dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.

This dataset provides:
 - `docs` (documents, i.e., the corpus)
 - `queries` (i.e., topics)
 - `qrels`: (relevance assessments)


Find more information about the dataset [here](https://ir-datasets.com/{dsid.split('/')[0]}#{dsid}).

## Usage

```python
from datasets import load_dataset
dataset = load_dataset({repr("irds/"+hgf_id)})
```


## Citation Information

```
@inproceedings{Wachsmuth2018Arguana,
  author = "Wachsmuth, Henning and Syed, Shahbaz and Stein, Benno",
  title = "Retrieval of the Best Counterargument without Prior Topic Knowledge",
  booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
  year = "2018",
  publisher = "Association for Computational Linguistics",
  location = "Melbourne, Australia",
  pages = "241--251",
  url = "http://aclweb.org/anthology/P18-1023"
}
@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",
}
```