irds/msmarco-document-v2_trec-dl-2020

Dataset Card for msmarco-document-v2/trec-dl-2020

The msmarco-document-v2/trec-dl-2020 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=200

• qrels: (relevance assessments); count=7,942

• For docs, use irds/msmarco-document-v2

This dataset is used by: msmarco-document-v2_trec-dl-2020_judged

Usage

from datasets import load_dataset

queries = load_dataset('irds/msmarco-document-v2_trec-dl-2020', 'queries')
for record in queries:
    record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/msmarco-document-v2_trec-dl-2020', '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{Craswell2020TrecDl,
  title={Overview of the TREC 2020 deep learning track},
  author={Nick Craswell and Bhaskar Mitra and Emine Yilmaz and Daniel Campos},
  booktitle={TREC},
  year={2020}
}
@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}
}