irds/clueweb12_b13_clef-ehealth_de

---
pretty_name: '`clueweb12/b13/clef-ehealth/de`'
viewer: false
source_datasets: ['irds/clueweb12_b13']
task_categories:
- text-retrieval
---

# Dataset Card for `clueweb12/b13/clef-ehealth/de`

The `clueweb12/b13/clef-ehealth/de` 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/clef-ehealth/de).

# Data

This dataset provides:
- `queries` (i.e., topics); count=300
- `qrels`: (relevance assessments); count=269,232

- 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_clef-ehealth_de', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/clueweb12_b13_clef-ehealth_de', 'qrels')
for record in qrels:
record # {'query_id': ..., 'doc_id': ..., 'relevance': ..., 'trustworthiness': ..., 'understandability': ..., '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{Zuccon2016ClefEhealth,
title={The IR Task at the CLEF eHealth Evaluation Lab 2016: User-centred Health Information Retrieval},
author={Guido Zuccon and Joao Palotti and Lorraine Goeuriot and Liadh Kelly and Mihai Lupu and Pavel Pecina and Henning M{\"u}ller and Julie Budaher and Anthony Deacon},
booktitle={CLEF},
year={2016}
}
@inproceedings{Palotti2017ClefEhealth,
title={CLEF 2017 Task Overview: The IR Task at the eHealth Evaluation Lab - Evaluating Retrieval Methods for Consumer Health Search},
author={Joao Palotti and Guido Zuccon and Jimmy and Pavel Pecina and Mihai Lupu and Lorraine Goeuriot and Liadh Kelly and Allan Hanbury},
booktitle={CLEF},
year={2017}
}
```

原始信息汇总

数据集概述

数据集名称

clueweb12/b13/clef-ehealth/de

数据来源

• 源数据集：irds/clueweb12_b13

数据内容

• queries（查询主题）：数量300
• qrels（相关性评估）：数量269,232
• docs：使用irds/clueweb12_b13数据集

数据使用示例

python from datasets import load_dataset

queries = load_dataset(irds/clueweb12_b13_clef-ehealth_de, queries) for record in queries: record # {query_id: ..., text: ...}

qrels = load_dataset(irds/clueweb12_b13_clef-ehealth_de, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ..., trustworthiness: ..., understandability: ..., iteration: ...}

引用信息

@inproceedings{Zuccon2016ClefEhealth, title={The IR Task at the CLEF eHealth Evaluation Lab 2016: User-centred Health Information Retrieval}, author={Guido Zuccon and Joao Palotti and Lorraine Goeuriot and Liadh Kelly and Mihai Lupu and Pavel Pecina and Henning M{"u}ller and Julie Budaher and Anthony Deacon}, booktitle={CLEF}, year={2016} } @inproceedings{Palotti2017ClefEhealth, title={CLEF 2017 Task Overview: The IR Task at the eHealth Evaluation Lab - Evaluating Retrieval Methods for Consumer Health Search}, author={Joao Palotti and Guido Zuccon and Jimmy and Pavel Pecina and Mihai Lupu and Lorraine Goeuriot and Liadh Kelly and Allan Hanbury}, booktitle={CLEF}, year={2017} }