irds/clueweb12_b13_ntcir-www-2
收藏Hugging Face2023-01-05 更新2024-03-04 收录
下载链接:
https://hf-mirror.com/datasets/irds/clueweb12_b13_ntcir-www-2
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资源简介:
---
pretty_name: '`clueweb12/b13/ntcir-www-2`'
viewer: false
source_datasets: ['irds/clueweb12_b13']
task_categories:
- text-retrieval
---
# Dataset Card for `clueweb12/b13/ntcir-www-2`
The `clueweb12/b13/ntcir-www-2` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/clueweb12#clueweb12/b13/ntcir-www-2).
# Data
This dataset provides:
- `queries` (i.e., topics); count=80
- `qrels`: (relevance assessments); count=27,627
- For `docs`, use [`irds/clueweb12_b13`](https://huggingface.co/datasets/irds/clueweb12_b13)
## Usage
```python
from datasets import load_dataset
queries = load_dataset('irds/clueweb12_b13_ntcir-www-2', 'queries')
for record in queries:
record # {'query_id': ..., 'title': ..., 'description': ...}
qrels = load_dataset('irds/clueweb12_b13_ntcir-www-2', '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{Mao2018OWww2,
title={Overview of the NTCIR-14 We Want Web Task},
author={Jiaxin Mao and Tetsuya Sakai and Cheng Luo and Peng Xiao and Yiqun Liu and Zhicheng Dou},
booktitle={NTCIR},
year={2018}
}
```
---
pretty_name: '`clueweb12/b13/ntcir-www-2`'
viewer: 未启用
source_datasets: ['irds/clueweb12_b13']
task_categories:
- 文本检索
---
# `clueweb12/b13/ntcir-www-2` 数据集卡片
本数据集`clueweb12/b13/ntcir-www-2`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/clueweb12#clueweb12/b13/ntcir-www-2)。
# 数据集内容
本数据集包含以下内容:
- `queries`(即查询主题):共80条
- `qrels`(相关性标注集):共27627条
- 如需获取`docs`(文档数据),请使用 [`irds/clueweb12_b13`](https://huggingface.co/datasets/irds/clueweb12_b13) 数据集。
## 使用方法
python
from datasets import load_dataset
queries = load_dataset('irds/clueweb12_b13_ntcir-www-2', 'queries')
for record in queries:
record # {'query_id': ..., 'title': ..., 'description': ...}
qrels = load_dataset('irds/clueweb12_b13_ntcir-www-2', '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,则会提供获取指引),并将数据转换为🤗数据集格式后存储副本。
## 引用信息
@inproceedings{Mao2018OWww2,
title={Overview of the NTCIR-14 We Want Web Task},
author={Jiaxin Mao and Tetsuya Sakai and Cheng Luo and Peng Xiao and Yiqun Liu and Zhicheng Dou},
booktitle={NTCIR},
year={2018}
}
提供机构:
irds
原始信息汇总
数据集概述
数据集名称
clueweb12/b13/ntcir-www-2
数据来源
- 主数据集:
irds/clueweb12_b13
任务类别
- 文本检索
数据内容
queries(查询):80条qrels(相关性评估):27,627条
数据使用
queries数据结构:{query_id: ..., title: ..., description: ...}qrels数据结构:{query_id: ..., doc_id: ..., relevance: ..., iteration: ...}
引用信息
@inproceedings{Mao2018OWww2, title={Overview of the NTCIR-14 We Want Web Task}, author={Jiaxin Mao and Tetsuya Sakai and Cheng Luo and Peng Xiao and Yiqun Liu and Zhicheng Dou}, booktitle={NTCIR}, year={2018} }
搜集汇总
数据集介绍

背景与挑战
背景概述
clueweb12_b13_ntcir-www-2是一个文本检索数据集,包含80个查询和27,627个相关性评估,文档数据需从irds/clueweb12_b13获取。该数据集源自NTCIR-14 We Want Web任务,适用于信息检索研究。
以上内容由遇见数据集搜集并总结生成



