File size: 2,383 Bytes
8945d07 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 |
---
pretty_name: '`msmarco-passage`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---
# Dataset Card for `msmarco-passage`
The `msmarco-passage` 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-passage#msmarco-passage).
# Data
This dataset provides:
- `docs` (documents, i.e., the corpus); count=8,841,823
This dataset is used by: [`msmarco-passage_dev`](https://huggingface.co/datasets/irds/msmarco-passage_dev), [`msmarco-passage_dev_judged`](https://huggingface.co/datasets/irds/msmarco-passage_dev_judged), [`msmarco-passage_eval`](https://huggingface.co/datasets/irds/msmarco-passage_eval), [`msmarco-passage_train_triples-small`](https://huggingface.co/datasets/irds/msmarco-passage_train_triples-small), [`msmarco-passage_train_triples-v2`](https://huggingface.co/datasets/irds/msmarco-passage_train_triples-v2), [`msmarco-passage_trec-dl-hard`](https://huggingface.co/datasets/irds/msmarco-passage_trec-dl-hard), [`msmarco-passage_trec-dl-hard_fold1`](https://huggingface.co/datasets/irds/msmarco-passage_trec-dl-hard_fold1), [`msmarco-passage_trec-dl-hard_fold2`](https://huggingface.co/datasets/irds/msmarco-passage_trec-dl-hard_fold2), [`msmarco-passage_trec-dl-hard_fold3`](https://huggingface.co/datasets/irds/msmarco-passage_trec-dl-hard_fold3), [`msmarco-passage_trec-dl-hard_fold4`](https://huggingface.co/datasets/irds/msmarco-passage_trec-dl-hard_fold4), [`msmarco-passage_trec-dl-hard_fold5`](https://huggingface.co/datasets/irds/msmarco-passage_trec-dl-hard_fold5)
## Usage
```python
from datasets import load_dataset
docs = load_dataset('irds/msmarco-passage', 'docs')
for record in docs:
record # {'doc_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}
}
```
|