irds/msmarco-passage_trec-dl-hard

Dataset Card for msmarco-passage/trec-dl-hard

The msmarco-passage/trec-dl-hard 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=50

• qrels: (relevance assessments); count=4,256

• For docs, use irds/msmarco-passage

Usage

from datasets import load_dataset

queries = load_dataset('irds/msmarco-passage_trec-dl-hard', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/msmarco-passage_trec-dl-hard', '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

@article{Mackie2021DlHard,
  title={How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset},
  author={Iain Mackie and Jeffrey Dalton and Andrew Yates},
  journal={ArXiv},
  year={2021},
  volume={abs/2105.07975}
}
@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}
}