irds/mr-tydi_th

Dataset Card for mr-tydi/th

The mr-tydi/th dataset, provided by the ir-datasets package. For more information about the dataset, see the documentation.

Data

This dataset provides:

• docs (documents, i.e., the corpus); count=568,855
• queries (i.e., topics); count=5,322
• qrels: (relevance assessments); count=5,545

This dataset is used by: mr-tydi_th_dev, mr-tydi_th_test, mr-tydi_th_train

Usage

from datasets import load_dataset

docs = load_dataset('irds/mr-tydi_th', 'docs')
for record in docs:
    record # {'doc_id': ..., 'text': ...}

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

qrels = load_dataset('irds/mr-tydi_th', '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}
}