metadata
pretty_name: '`msmarco-passage/train/triples-small`'
viewer: false
source_datasets:
- irds/msmarco-passage
task_categories:
- text-retrieval
Dataset Card for msmarco-passage/train/triples-small
The msmarco-passage/train/triples-small
dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
Data
This dataset provides:
docpairs
; count=39,780,811For
docs
, useirds/msmarco-passage
Usage
from datasets import load_dataset
docpairs = load_dataset('irds/msmarco-passage_train_triples-small', 'docpairs')
for record in docpairs:
record # {'query_id': ..., 'doc_id_a': ..., 'doc_id_b': ...}
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}
}