irds/aquaint_trec-robust-2005

Dataset Card for aquaint/trec-robust-2005

The aquaint/trec-robust-2005 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=37,798

• For docs, use irds/aquaint

Usage

from datasets import load_dataset

queries = load_dataset('irds/aquaint_trec-robust-2005', 'queries')
for record in queries:
    record # {'query_id': ..., 'title': ..., 'description': ..., 'narrative': ...}

qrels = load_dataset('irds/aquaint_trec-robust-2005', '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{Voorhees2005Robust,
  title={Overview of the TREC 2005 Robust Retrieval Track},
  author={Ellen M. Voorhees},
  booktitle={TREC},
  year={2005}
}
@misc{Graff2002Aquaint,
  title={The AQUAINT Corpus of English News Text},
  author={David Graff},
  year={2002},
  url={https://catalog.ldc.upenn.edu/LDC2002T31},
  publisher={Linguistic Data Consortium}
}