five

irds/gov2_trec-tb-2006_efficiency_stream3

收藏
Hugging Face2023-01-05 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/irds/gov2_trec-tb-2006_efficiency_stream3
下载链接
链接失效反馈
官方服务:
资源简介:
--- pretty_name: '`gov2/trec-tb-2006/efficiency/stream3`' viewer: false source_datasets: ['irds/gov2'] task_categories: - text-retrieval --- # Dataset Card for `gov2/trec-tb-2006/efficiency/stream3` The `gov2/trec-tb-2006/efficiency/stream3` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package. For more information about the dataset, see the [documentation](https://ir-datasets.com/gov2#gov2/trec-tb-2006/efficiency/stream3). # Data This dataset provides: - `queries` (i.e., topics); count=25,000 - `qrels`: (relevance assessments); count=31,984 - For `docs`, use [`irds/gov2`](https://huggingface.co/datasets/irds/gov2) ## Usage ```python from datasets import load_dataset queries = load_dataset('irds/gov2_trec-tb-2006_efficiency_stream3', 'queries') for record in queries: record # {'query_id': ..., 'text': ...} qrels = load_dataset('irds/gov2_trec-tb-2006_efficiency_stream3', 'qrels') for record in qrels: record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...} ``` 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{Buttcher2006TrecTerabyte, title={The TREC 2006 Terabyte Track}, author={Stefan B\"uttcher and Charles L. A. Clarke and Ian Soboroff}, booktitle={TREC}, year={2006} } ```
提供机构:
irds
原始信息汇总

数据集概述

数据集名称

gov2/trec-tb-2006/efficiency/stream3

数据来源

  • 源数据集:irds/gov2

数据内容

  • queries(查询主题):数量为25,000
  • qrels(相关性评估):数量为31,984

数据使用

引用信息

@inproceedings{Buttcher2006TrecTerabyte, title={The TREC 2006 Terabyte Track}, author={Stefan B"uttcher and Charles L. A. Clarke and Ian Soboroff}, booktitle={TREC}, year={2006} }

5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作