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irds/mmarco_de_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/mmarco_de_train
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资源简介:
--- pretty_name: '`mmarco/de/train`' viewer: false source_datasets: ['irds/mmarco_de'] task_categories: - text-retrieval --- # Dataset Card for `mmarco/de/train` The `mmarco/de/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/mmarco#mmarco/de/train). # Data This dataset provides: - `queries` (i.e., topics); count=808,731 - `qrels`: (relevance assessments); count=532,761 - `docpairs`; count=39,780,811 - For `docs`, use [`irds/mmarco_de`](https://huggingface.co/datasets/irds/mmarco_de) ## Usage ```python from datasets import load_dataset queries = load_dataset('irds/mmarco_de_train', 'queries') for record in queries: record # {'query_id': ..., 'text': ...} qrels = load_dataset('irds/mmarco_de_train', 'qrels') for record in qrels: record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...} docpairs = load_dataset('irds/mmarco_de_train', 'docpairs') for record in docpairs: record # {'query_id': ..., 'doc_id_a': ..., 'doc_id_b': ...} ``` 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{Bonifacio2021MMarco, title={{mMARCO}: A Multilingual Version of {MS MARCO} Passage Ranking Dataset}, author={Luiz Henrique Bonifacio and Israel Campiotti and Roberto Lotufo and Rodrigo Nogueira}, year={2021}, journal={arXiv:2108.13897} } ```
提供机构:
irds
原始信息汇总

数据集概述

数据集名称

mmarco/de/train

数据提供方

ir-datasets

数据集内容

  • queries: 查询(即主题),数量为808,731
  • qrels: 相关性评估,数量为532,761
  • docpairs: 文档对,数量为39,780,811

数据集使用

数据集加载示例

python from datasets import load_dataset

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

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

docpairs = load_dataset(irds/mmarco_de_train, docpairs) for record in docpairs: record # {query_id: ..., doc_id_a: ..., doc_id_b: ...}

引用信息

@article{Bonifacio2021MMarco, title={{mMARCO}: A Multilingual Version of {MS MARCO} Passage Ranking Dataset}, author={Luiz Henrique Bonifacio and Israel Campiotti and Roberto Lotufo and Rodrigo Nogueira}, year={2021}, journal={arXiv:2108.13897} }

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