irds/mr-tydi_id_train

mr-tydi/id/train数据集是一个用于文本检索任务的数据集，包含4,902个查询和相关性评估。文档数据来源于`irds/mr-tydi_id`数据集。

---
数据集展示名称: '`mr-tydi/id/train`'
数据集查看器: 不可用
源数据集: ['irds/mr-tydi_id']
任务类别:
- 文本检索 (text-retrieval)
---

# `mr-tydi/id/train` 数据集卡片

本`mr-tydi/id/train`数据集由[ir-datasets](https://ir-datasets.com/)工具包提供。如需了解该数据集的更多详情，请参阅[官方文档](https://ir-datasets.com/mr-tydi#mr-tydi/id/train)。

# 数据集内容

本数据集包含以下内容：
- `queries`（即查询主题，queries）：共计4902条
- `qrels`（即相关性标注，qrels）：共计4902条

- 如需获取`docs`（文档集），请使用 [`irds/mr-tydi_id`](https://huggingface.co/datasets/irds/mr-tydi_id) 数据集

## 使用方法

python
from datasets import load_dataset

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

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

请注意，调用`load_dataset`函数将自动下载该数据集（若数据集未公开，则会提供访问指引），并将数据集转换为🤗 数据集格式进行存储。

## 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}
}

原始信息汇总

Dataset Card for mr-tydi/id/train

Overview

• Dataset Name: mr-tydi/id/train
• Provider: ir-datasets
• Documentation: Link

Data Details

Provided Data

• Queries: 4,902 topics
• Qrels: 4,902 relevance assessments

Additional Data Source

• Docs: irds/mr-tydi_id

Usage Example

python from datasets import load_dataset

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

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

Citation

@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} }