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irds/msmarco-document_trec-dl-hard_fold4

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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/msmarco-document_trec-dl-hard_fold4
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资源简介:
--- pretty_name: '`msmarco-document/trec-dl-hard/fold4`' viewer: false source_datasets: ['irds/msmarco-document'] task_categories: - text-retrieval --- # Dataset Card for `msmarco-document/trec-dl-hard/fold4` The `msmarco-document/trec-dl-hard/fold4` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/msmarco-document#msmarco-document/trec-dl-hard/fold4). # Data This dataset provides: - `queries` (i.e., topics); count=10 - `qrels`: (relevance assessments); count=1,054 - For `docs`, use [`irds/msmarco-document`](https://huggingface.co/datasets/irds/msmarco-document) ## Usage ```python from datasets import load_dataset queries = load_dataset('irds/msmarco-document_trec-dl-hard_fold4', 'queries') for record in queries: record # {'query_id': ..., 'text': ...} qrels = load_dataset('irds/msmarco-document_trec-dl-hard_fold4', 'qrels') for record in qrels: record # {'query_id': ..., 'doc_id': ..., 'relevance': ...} ``` 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{Mackie2021DlHard, title={How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset}, author={Iain Mackie and Jeffrey Dalton and Andrew Yates}, journal={ArXiv}, year={2021}, volume={abs/2105.07975} } @inproceedings{Bajaj2016Msmarco, title={MS MARCO: A Human Generated MAchine Reading COmprehension Dataset}, author={Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, Tong Wang}, booktitle={InCoCo@NIPS}, year={2016} } ```
提供机构:
irds
原始信息汇总

数据集概述

数据集名称

msmarco-document/trec-dl-hard/fold4

数据集来源

  • 来源:ir-datasets
  • 原始数据集:irds/msmarco-document

数据内容

  • queries:查询主题,数量为10个。
  • qrels:相关性评估,数量为1,054个。
  • docs:文档数据,使用irds/msmarco-document数据集。

使用示例

python from datasets import load_dataset

queries = load_dataset(irds/msmarco-document_trec-dl-hard_fold4, queries) for record in queries: record # {query_id: ..., text: ...}

qrels = load_dataset(irds/msmarco-document_trec-dl-hard_fold4, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ...}

引用信息

@article{Mackie2021DlHard, title={How Deep is your Learning: the DL-HARD Annotated Deep Learning Dataset}, author={Iain Mackie and Jeffrey Dalton and Andrew Yates}, journal={ArXiv}, year={2021}, volume={abs/2105.07975} } @inproceedings{Bajaj2016Msmarco, title={MS MARCO: A Human Generated MAchine Reading COmprehension Dataset}, author={Payal Bajaj, Daniel Campos, Nick Craswell, Li Deng, Jianfeng Gao, Xiaodong Liu, Rangan Majumder, Andrew McNamara, Bhaskar Mitra, Tri Nguyen, Mir Rosenberg, Xia Song, Alina Stoica, Saurabh Tiwary, Tong Wang}, booktitle={InCoCo@NIPS}, year={2016} }

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