irds/nyt_wksup

--- pretty_name: '`nyt/wksup`' viewer: false source_datasets: ['irds/nyt'] task_categories: - text-retrieval --- # Dataset Card for `nyt/wksup` The `nyt/wksup` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/nyt#nyt/wksup). # Data This dataset provides: - `queries` (i.e., topics); count=1,864,661 - `qrels`: (relevance assessments); count=1,864,661 - For `docs`, use [`irds/nyt`](https://huggingface.co/datasets/irds/nyt) ## Usage ```python from datasets import load_dataset queries = load_dataset('irds/nyt_wksup', 'queries') for record in queries: record # {'query_id': ..., 'text': ...} qrels = load_dataset('irds/nyt_wksup', '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 ``` @inproceedings{MacAvaney2019Wksup, author = {MacAvaney, Sean and Yates, Andrew and Hui, Kai and Frieder, Ophir}, title = {Content-Based Weak Supervision for Ad-Hoc Re-Ranking}, booktitle = {SIGIR}, year = {2019} } @article{Sandhaus2008Nyt, title={The new york times annotated corpus}, author={Sandhaus, Evan}, journal={Linguistic Data Consortium, Philadelphia}, volume={6}, number={12}, pages={e26752}, year={2008} } ```

原始信息汇总

数据集概述

数据集名称

nyt/wksup

数据来源

• 原始数据集：irds/nyt

数据内容

• queries（查询主题）：数量为1,864,661
• qrels（相关性评估）：数量为1,864,661
• docs（文档）：使用irds/nyt数据集

数据使用示例

python from datasets import load_dataset

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

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

引用信息

@inproceedings{MacAvaney2019Wksup, author = {MacAvaney, Sean and Yates, Andrew and Hui, Kai and Frieder, Ophir}, title = {Content-Based Weak Supervision for Ad-Hoc Re-Ranking}, booktitle = {SIGIR}, year = {2019} } @article{Sandhaus2008Nyt, title={The new york times annotated corpus}, author={Sandhaus, Evan}, journal={Linguistic Data Consortium, Philadelphia}, volume={6}, number={12}, pages={e26752}, year={2008} }