irds/mr-tydi_th_train

`mr-tydi/th/train`数据集由ir-datasets包提供，主要用于文本检索任务。该数据集包含3,319个查询（即主题）和3,360个相关评估（qrels）。文档部分需要使用`irds/mr-tydi_th`数据集。用户可以通过Python代码加载查询和相关评估数据，并获取每条记录的详细信息。

原始信息汇总

Dataset Card for mr-tydi/th/train

Overview

• Dataset Name: mr-tydi/th/train
• Provider: ir-datasets package
• Source Datasets: irds/mr-tydi_th
• Task Categories: text-retrieval

Data Details

• Queries: 3,319 topics
• Qrels: 3,360 relevance assessments
• Docs: Available via irds/mr-tydi_th

Usage Example

python from datasets import load_dataset

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

qrels = load_dataset(irds/mr-tydi_th_train, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ..., iteration: ...}

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} }