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irds/mr-tydi_bn_train

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Hugging Face2023-01-05 更新2024-03-04 收录
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https://hf-mirror.com/datasets/irds/mr-tydi_bn_train
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资源简介:
--- pretty_name: '`mr-tydi/bn/train`' viewer: false source_datasets: ['irds/mr-tydi_bn'] task_categories: - text-retrieval --- # Dataset Card for `mr-tydi/bn/train` The `mr-tydi/bn/train` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/mr-tydi#mr-tydi/bn/train). # Data This dataset provides: - `queries` (i.e., topics); count=1,713 - `qrels`: (relevance assessments); count=1,719 - For `docs`, use [`irds/mr-tydi_bn`](https://huggingface.co/datasets/irds/mr-tydi_bn) ## Usage ```python 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} } ```
提供机构:
irds
原始信息汇总

数据集卡片 mr-tydi/bn/train

数据集概述

mr-tydi/bn/train 数据集由 ir-datasets 包提供。

数据内容

该数据集包含以下内容:

  • queries(即主题);数量=1,713
  • qrels(相关性评估);数量=1,719

对于 docs,请使用 irds/mr-tydi_bn

使用方法

以下是加载数据集的示例代码: python 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: ...}

引用信息

@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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