irds/gov2_trec-tb-2004

---
pretty_name: '`gov2/trec-tb-2004`'
viewer: false
source_datasets: ['irds/gov2']
task_categories:
- text-retrieval
---

# Dataset Card for `gov2/trec-tb-2004`

The `gov2/trec-tb-2004` 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-2004).

# Data

This dataset provides:
- `queries` (i.e., topics); count=50
- `qrels`: (relevance assessments); count=58,077

- 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-2004', 'queries')
for record in queries:
record # {'query_id': ..., 'title': ..., 'description': ..., 'narrative': ...}

qrels = load_dataset('irds/gov2_trec-tb-2004', '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{Clarke2004TrecTerabyte,
title={Overview of the TREC 2004 Terabyte Track},
author={Charles Clarke and Nick Craswell and Ian Soboroff},
booktitle={TREC},
year={2004}
}
```

显示名称: '`gov2/trec-tb-2004`'
查看器: 禁用
源数据集: ['irds/gov2']
任务类别:
- 文本检索（text-retrieval）

# `gov2/trec-tb-2004` 数据集卡片

本`gov2/trec-tb-2004`数据集由[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/gov2#gov2/trec-tb-2004)。

# 数据内容

本数据集包含以下内容：
- `queries`（即主题）：共计50条查询
- 相关性评估（qrels）：共计58077条
- 如需获取文档数据，请使用[`irds/gov2`](https://huggingface.co/datasets/irds/gov2)数据集。

## 使用方法

python
from datasets import load_dataset

queries = load_dataset('irds/gov2_trec-tb-2004', 'queries')
for record in queries:
record # {'查询ID': ..., '标题': ..., '描述': ..., '叙述文本': ...}

qrels = load_dataset('irds/gov2_trec-tb-2004', 'qrels')
for record in qrels:
record # {'查询ID': ..., '文档ID': ..., '相关性分值': ..., '迭代轮次': ...}

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，则会提供权限获取指引），并将数据转换为🤗 数据集格式进行存储。

## 引用信息

@inproceedings{Clarke2004TrecTerabyte,
title={TREC 2004年超大语料赛道综述},
author={Charles Clarke、Nick Craswell、Ian Soboroff},
booktitle={TREC},
year={2004}
}

原始信息汇总

数据集概述

数据集名称

gov2/trec-tb-2004

数据来源

• 主数据集：irds/gov2

任务类别

• 文本检索

数据内容

• queries（查询主题）：数量50
• qrels（相关性评估）：数量58,077
• docs（文档）：使用irds/gov2数据集

使用示例

python from datasets import load_dataset

queries = load_dataset(irds/gov2_trec-tb-2004, queries) for record in queries: record # {query_id: ..., title: ..., description: ..., narrative: ...}

qrels = load_dataset(irds/gov2_trec-tb-2004, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ..., iteration: ...}

引用信息

@inproceedings{Clarke2004TrecTerabyte, title={Overview of the TREC 2004 Terabyte Track}, author={Charles Clarke and Nick Craswell and Ian Soboroff}, booktitle={TREC}, year={2004} }