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---
pretty_name: '`wapo/v2/trec-news-2018`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---
# Dataset Card for `wapo/v2/trec-news-2018`
The `wapo/v2/trec-news-2018` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/wapo#wapo/v2/trec-news-2018).
# Data
This dataset provides:
- `queries` (i.e., topics); count=50
- `qrels`: (relevance assessments); count=8,508
## Usage
```python
from datasets import load_dataset
queries = load_dataset('irds/wapo_v2_trec-news-2018', 'queries')
for record in queries:
record # {'query_id': ..., 'doc_id': ..., 'url': ...}
qrels = load_dataset('irds/wapo_v2_trec-news-2018', '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
```
@inproceedings{Soboroff2018News,
title={TREC 2018 News Track Overview},
author={Ian Soboroff and Shudong Huang and Donna Harman},
booktitle={TREC},
year={2018}
}
```
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