irds/mr-tydi_bn_train

Dataset Card for mr-tydi/bn/train

The mr-tydi/bn/train 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=1,713

• qrels: (relevance assessments); count=1,719

• For docs, use irds/mr-tydi_bn

Usage

from datasets import load_dataset

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

qrels = load_dataset('irds/mr-tydi_bn_train', '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{Zhang2021MrTyDi,
  title={{Mr. TyDi}: A Multi-lingual Benchmark for Dense Retrieval}, 
  author={Xinyu Zhang and Xueguang Ma and Peng Shi and Jimmy Lin},
  year={2021},
  journal={arXiv:2108.08787},
}
@article{Clark2020TyDiQa,
    title={{TyDi QA}: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages},
    author={Jonathan H. Clark and Eunsol Choi and Michael Collins and Dan Garrette and Tom Kwiatkowski and Vitaly Nikolaev and Jennimaria Palomaki},
    year={2020},
    journal={Transactions of the Association for Computational Linguistics}
}