
# Dataset Card for `msmarco-document-v2/trec-dl-2019`

The `msmarco-document-v2/trec-dl-2019` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/msmarco-document-v2#msmarco-document-v2/trec-dl-2019).

# Data

This dataset provides:
 - `queries` (i.e., topics); count=200
 - `qrels`: (relevance assessments); count=13,940

 - For `docs`, use [`irds/msmarco-document-v2`](https://huggingface.co/datasets/irds/msmarco-document-v2)

This dataset is used by: [`msmarco-document-v2_trec-dl-2019_judged`](https://huggingface.co/datasets/irds/msmarco-document-v2_trec-dl-2019_judged)


## Usage

```python
from datasets import load_dataset

queries = load_dataset('irds/msmarco-document-v2_trec-dl-2019', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/msmarco-document-v2_trec-dl-2019', '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{Craswell2019TrecDl,
  title={Overview of the TREC 2019 deep learning track},
  author={Nick Craswell and Bhaskar Mitra and Emine Yilmaz and Daniel Campos and Ellen Voorhees},
  booktitle={TREC 2019},
  year={2019}
}
@inproceedings{Bajaj2016Msmarco,
  title={MS MARCO: A Human Generated MAchine Reading COmprehension Dataset},
  author={Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, Tong Wang},
  booktitle={InCoCo@NIPS},
  year={2016}
}
```

task_categories:text-retrieval source_datasets:irds/msmarco-document-v2 region:us
{"source_datasets": ["irds/msmarco-document-v2"], "task_categories": ["text-retrieval"], "pretty_name": "`msmarco-document-v2/trec-dl-2019`", "viewer": false}
TAGS
#task_categories-text-retrieval #source_datasets-irds/msmarco-document-v2 #region-us 


# Dataset Card for 'msmarco-document-v2/trec-dl-2019'

The 'msmarco-document-v2/trec-dl-2019' 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=200
 - 'qrels': (relevance assessments); count=13,940

 - For 'docs', use 'irds/msmarco-document-v2'

This dataset is used by: 'msmarco-document-v2_trec-dl-2019_judged'


## 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 'msmarco-document-v2/trec-dl-2019'

The 'msmarco-document-v2/trec-dl-2019' 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=200
 - 'qrels': (relevance assessments); count=13,940

 - For 'docs', use 'irds/msmarco-document-v2'

This dataset is used by: 'msmarco-document-v2_trec-dl-2019_judged' ## 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/msmarco-document-v2 #region-us 
 # Dataset Card for 'msmarco-document-v2/trec-dl-2019'

The 'msmarco-document-v2/trec-dl-2019' 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=200
 - 'qrels': (relevance assessments); count=13,940

 - For 'docs', use 'irds/msmarco-document-v2'

This dataset is used by: 'msmarco-document-v2_trec-dl-2019_judged' ## 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.