README.md

---
pretty_name: '`disks45/nocr/trec-robust-2004/fold1`'
viewer: false
source_datasets: ['irds/disks45_nocr']
task_categories:
- text-retrieval
---

# Dataset Card for `disks45/nocr/trec-robust-2004/fold1`

The `disks45/nocr/trec-robust-2004/fold1` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/disks45#disks45/nocr/trec-robust-2004/fold1).

# Data

This dataset provides:
 - `queries` (i.e., topics); count=50
 - `qrels`: (relevance assessments); count=62,789

 - For `docs`, use [`irds/disks45_nocr`](https://huggingface.co/datasets/irds/disks45_nocr)

## Usage

```python
from datasets import load_dataset

queries = load_dataset('irds/disks45_nocr_trec-robust-2004_fold1', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/disks45_nocr_trec-robust-2004_fold1', '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

```
@misc{Voorhees1996Disks45,
  title = {NIST TREC Disks 4 and 5: Retrieval Test Collections Document Set},
  author = {Ellen M. Voorhees},
  doi = {10.18434/t47g6m},
  year = {1996},
  publisher = {National Institute of Standards and Technology}
}
@inproceedings{Voorhees2004Robust,
  title={Overview of the TREC 2004 Robust Retrieval Track},
  author={Ellen Voorhees},
  booktitle={TREC},
  year={2004}
}
@inproceedings{Huston2014ACO,
  title={A Comparison of Retrieval Models using Term Dependencies},
  author={Samuel Huston and W. Bruce Croft},
  booktitle={CIKM},
  year={2014}
}
```