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Datasets:
irds
/
car_v1.5_trec-y1_auto

Tasks:
Text Retrieval
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metadata
pretty_name: '`car/v1.5/trec-y1/auto`'
viewer: false
source_datasets:
  - irds/car_v1.5
task_categories:
  - text-retrieval

Dataset Card for car/v1.5/trec-y1/auto

The car/v1.5/trec-y1/auto dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation.

Data

This dataset provides:

  • qrels: (relevance assessments); count=5,820

  • For docs, use irds/car_v1.5

Usage 

from datasets import load_dataset

qrels = load_dataset('irds/car_v1.5_trec-y1_auto', '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{Dietz2017TrecCar,
  title={TREC Complex Answer Retrieval Overview.},
  author={Dietz, Laura and Verma, Manisha and Radlinski, Filip and Craswell, Nick},
  booktitle={TREC},
  year={2017}
}
@article{Dietz2017Car,
  title={{TREC CAR}: A Data Set for Complex Answer Retrieval},
  author={Laura Dietz and Ben Gamari},
  year={2017},
  note={Version 1.5},
  url={http://trec-car.cs.unh.edu}
}