beir_msmarco / README.md
Sean MacAvaney
commit files to HF hub
7ac33c8
---
pretty_name: '`beir/msmarco`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---
# Dataset Card for `beir/msmarco`
The `beir/msmarco` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/beir#beir/msmarco).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=8,841,823
- `queries` (i.e., topics); count=509,962
This dataset is used by: [`beir_msmarco_dev`](https://huggingface.co/datasets/irds/beir_msmarco_dev), [`beir_msmarco_test`](https://huggingface.co/datasets/irds/beir_msmarco_test), [`beir_msmarco_train`](https://huggingface.co/datasets/irds/beir_msmarco_train)
## Usage
```python
from datasets import load_dataset
docs = load_dataset('irds/beir_msmarco', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ...}
queries = load_dataset('irds/beir_msmarco', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ...}
```
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{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}
}
@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",
}
```