irds/nyt_wksup_train

Dataset Card for nyt/wksup/train

The nyt/wksup/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=1,863,657

• qrels: (relevance assessments); count=1,863,657

• For docs, use irds/nyt

Usage

from datasets import load_dataset

queries = load_dataset('irds/nyt_wksup_train', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/nyt_wksup_train', 'qrels')
for record in qrels:
    record # {'query_id': ..., 'doc_id': ..., 'relevance': ...}

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{MacAvaney2019Wksup,
  author = {MacAvaney, Sean and Yates, Andrew and Hui, Kai and Frieder, Ophir},
  title = {Content-Based Weak Supervision for Ad-Hoc Re-Ranking},
  booktitle = {SIGIR},
  year = {2019}
}
@article{Sandhaus2008Nyt,
  title={The new york times annotated corpus},
  author={Sandhaus, Evan},
  journal={Linguistic Data Consortium, Philadelphia},
  volume={6},
  number={12},
  pages={e26752},
  year={2008}
}