metadata
pretty_name: '`dpr-w100`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
language:
- en
Dataset Card for dpr-w100
The dpr-w100 dataset, provided by the ir-datasets package.
For more information about the dataset, see the documentation.
Data
This dataset provides:
docs(documents, i.e., the corpus); count=21,015,324
Usage
from datasets import load_dataset
docs = load_dataset('irds/dpr-w100', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ..., 'title': ...}
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
@misc{Karpukhin2020Dpr,
title={Dense Passage Retrieval for Open-Domain Question Answering},
author={Vladimir Karpukhin and Barlas Oğuz and Sewon Min and Patrick Lewis and Ledell Wu and Sergey Edunov and Danqi Chen and Wen-tau Yih},
year={2020},
eprint={2004.04906},
archivePrefix={arXiv},
primaryClass={cs.CL}
}