irds/nyt_trec-core-2017

---
pretty_name: '`nyt/trec-core-2017`'
viewer: false
source_datasets: ['irds/nyt']
task_categories:
- text-retrieval
---

# Dataset Card for `nyt/trec-core-2017`

The `nyt/trec-core-2017` 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/trec-core-2017).

# Data

This dataset provides:
- `queries` (i.e., topics); count=50
- `qrels`: (relevance assessments); count=30,030

- For `docs`, use [`irds/nyt`](https://huggingface.co/datasets/irds/nyt)

## Usage

```python
from datasets import load_dataset

queries = load_dataset('irds/nyt_trec-core-2017', 'queries')
for record in queries:
record # {'query_id': ..., 'title': ..., 'description': ..., 'narrative': ...}

qrels = load_dataset('irds/nyt_trec-core-2017', '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{Allan2017TrecCore,
author = {James Allan and Donna Harman and Evangelos Kanoulas and Dan Li and Christophe Van Gysel and Ellen Vorhees},
title = {TREC 2017 Common Core Track Overview},
booktitle = {TREC},
year = {2017}
}
@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}
}
```

数据集标识名称：`nyt/trec-core-2017`
数据集查看器：不可用
源数据集：['irds/nyt']
任务类别：文本检索

# 数据集卡片：`nyt/trec-core-2017`

本`nyt/trec-core-2017`数据集由[ir-datasets](https://ir-datasets.com/)库提供。如需了解该数据集的更多详情，请参阅其[官方文档](https://ir-datasets.com/nyt#nyt/trec-core-2017)。

# 数据概况

本数据集包含以下内容：
- `queries`（查询主题）：共计50条
- `qrels`（相关性标注）：共计30030条
- 如需获取文档（`docs`），请使用 [`irds/nyt`](https://huggingface.co/datasets/irds/nyt) 数据集。

## 使用方法

python
from datasets import load_dataset

queries = load_dataset('irds/nyt_trec-core-2017', 'queries')
for record in queries:
record # {'query_id': ..., 'title': ..., 'description': ..., 'narrative': ...}

qrels = load_dataset('irds/nyt_trec-core-2017', 'qrels')
for record in qrels:
record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'iteration': ...}

> 注：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。

## 引用信息

@inproceedings{Allan2017TrecCore,
author = {James Allan and Donna Harman and Evangelos Kanoulas and Dan Li and Christophe Van Gysel and Ellen Vorhees},
title = {TREC 2017 Common Core Track Overview},
booktitle = {TREC},
year = {2017}
}
@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

数据集卡片 nyt/trec-core-2017

数据集概述

nyt/trec-core-2017 数据集由 ir-datasets 包提供。

数据内容

该数据集包含以下内容：

• 查询（queries）：即主题，数量为50个。
• 查询相关性评估（qrels）：相关性评估，数量为30,030个。

对于文档（docs），请使用 irds/nyt。

使用方法

以下是加载和使用该数据集的示例代码：

python from datasets import load_dataset

queries = load_dataset(irds/nyt_trec-core-2017, queries) for record in queries: record # {query_id: ..., title: ..., description: ..., narrative: ...}

qrels = load_dataset(irds/nyt_trec-core-2017, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ..., iteration: ...}

引用信息

@inproceedings{Allan2017TrecCore, author = {James Allan and Donna Harman and Evangelos Kanoulas and Dan Li and Christophe Van Gysel and Ellen Vorhees}, title = {TREC 2017 Common Core Track Overview}, booktitle = {TREC}, year = {2017} } @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} }

搜集汇总

背景与挑战

背景概述

该数据集是用于文本检索任务的TREC 2017 Common Core Track数据集，包含50个查询和30,030个相关性评估，文档部分需使用'irds/nyt'数据集。数据集基于纽约时报标注语料库构建，适用于信息检索研究。