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Dataset Card for nfcorpus/train
The nfcorpus/train
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=2,594qrels
: (relevance assessments); count=139,350For
docs
, useirds/nfcorpus
Usage
from datasets import load_dataset
queries = load_dataset('irds/nfcorpus_train', 'queries')
for record in queries:
record # {'query_id': ..., 'title': ..., 'all': ...}
qrels = load_dataset('irds/nfcorpus_train', '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{Boteva2016Nfcorpus,
title="A Full-Text Learning to Rank Dataset for Medical Information Retrieval",
author = "Vera Boteva and Demian Gholipour and Artem Sokolov and Stefan Riezler",
booktitle = "Proceedings of the European Conference on Information Retrieval ({ECIR})",
location = "Padova, Italy",
publisher = "Springer",
year = 2016
}
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