irds/antique_test_non-offensive

Dataset Card for antique/test/non-offensive

The antique/test/non-offensive 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=176

• qrels: (relevance assessments); count=5,752

• For docs, use irds/antique

Usage

from datasets import load_dataset

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

qrels = load_dataset('irds/antique_test_non-offensive', '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{Hashemi2020Antique,
  title={ANTIQUE: A Non-Factoid Question Answering Benchmark},
  author={Helia Hashemi and Mohammad Aliannejadi and Hamed Zamani and Bruce Croft},
  booktitle={ECIR},
  year={2020}
}