
# Dataset Card for `aquaint/trec-robust-2005`

The `aquaint/trec-robust-2005` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/aquaint#aquaint/trec-robust-2005).

# Data

This dataset provides:
 - `queries` (i.e., topics); count=50
 - `qrels`: (relevance assessments); count=37,798

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

## Usage

```python
from datasets import load_dataset

queries = load_dataset('irds/aquaint_trec-robust-2005', 'queries')
for record in queries:
    record # {'query_id': ..., 'title': ..., 'description': ..., 'narrative': ...}

qrels = load_dataset('irds/aquaint_trec-robust-2005', '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{Voorhees2005Robust,
  title={Overview of the TREC 2005 Robust Retrieval Track},
  author={Ellen M. Voorhees},
  booktitle={TREC},
  year={2005}
}
@misc{Graff2002Aquaint,
  title={The AQUAINT Corpus of English News Text},
  author={David Graff},
  year={2002},
  url={https://catalog.ldc.upenn.edu/LDC2002T31},
  publisher={Linguistic Data Consortium}
}
```

task_categories:text-retrieval source_datasets:irds/aquaint region:us
{"source_datasets": ["irds/aquaint"], "task_categories": ["text-retrieval"], "pretty_name": "`aquaint/trec-robust-2005`", "viewer": false}
TAGS
#task_categories-text-retrieval #source_datasets-irds/aquaint #region-us 


# Dataset Card for 'aquaint/trec-robust-2005'

The 'aquaint/trec-robust-2005' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.

# Data

This dataset provides:
 - 'queries' (i.e., topics); count=50
 - 'qrels': (relevance assessments); count=37,798

 - For 'docs', use 'irds/aquaint'

## Usage



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.





# Dataset Card for 'aquaint/trec-robust-2005'

The 'aquaint/trec-robust-2005' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation. # Data

This dataset provides:
 - 'queries' (i.e., topics); count=50
 - 'qrels': (relevance assessments); count=37,798

 - For 'docs', use 'irds/aquaint' ## Usage



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.
TAGS
#task_categories-text-retrieval #source_datasets-irds/aquaint #region-us 
 # Dataset Card for 'aquaint/trec-robust-2005'

The 'aquaint/trec-robust-2005' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation. # Data

This dataset provides:
 - 'queries' (i.e., topics); count=50
 - 'qrels': (relevance assessments); count=37,798

 - For 'docs', use 'irds/aquaint' ## Usage



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.
passage: TAGS
#task_categories-text-retrieval #source_datasets-irds/aquaint #region-us 
# Dataset Card for 'aquaint/trec-robust-2005'

The 'aquaint/trec-robust-2005' dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.# Data

This dataset provides:
 - 'queries' (i.e., topics); count=50
 - 'qrels': (relevance assessments); count=37,798

 - For 'docs', use 'irds/aquaint'## Usage



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.