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25,000qrels(相关性评估):数量为31,984
数据使用
- 文档数据来自
irds/gov2
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} }



