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Dataset Card for mr-tydi/ko
The mr-tydi/ko
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=1,496,126queries
(i.e., topics); count=2,019qrels
: (relevance assessments); count=2,116
This dataset is used by: mr-tydi_ko_dev
, mr-tydi_ko_test
, mr-tydi_ko_train
Usage
from datasets import load_dataset
docs = load_dataset('irds/mr-tydi_ko', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ...}
queries = load_dataset('irds/mr-tydi_ko', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ...}
qrels = load_dataset('irds/mr-tydi_ko', '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}
}
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