irds/antique_train_split200-valid

---
pretty_name: '`antique/train/split200-valid`'
viewer: false
source_datasets: ['irds/antique']
task_categories:
- text-retrieval
---

# Dataset Card for `antique/train/split200-valid`

The `antique/train/split200-valid` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/antique#antique/train/split200-valid).

# Data

This dataset provides:
- `queries` (i.e., topics); count=200
- `qrels`: (relevance assessments); count=2,193

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

## Usage

```python
from datasets import load_dataset

queries = load_dataset('irds/antique_train_split200-valid', 'queries')
for record in queries:
record # {'query_id': ..., 'text': ...}

qrels = load_dataset('irds/antique_train_split200-valid', 'qrels')
for record in qrels:
record # {'query_id': ..., 'doc_id': ..., 'relevance': ...}

```

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{Hashemi2020Antique,
title={ANTIQUE: A Non-Factoid Question Answering Benchmark},
author={Helia Hashemi and Mohammad Aliannejadi and Hamed Zamani and Bruce Croft},
booktitle={ECIR},
year={2020}
}
```

原始信息汇总

数据集概述

数据集名称

antique/train/split200-valid

数据来源

• 源数据集：irds/antique

任务类别

• 文本检索

数据内容

• queries（查询）：200条
• qrels（相关性评估）：2,193条
• docs（文档）：使用irds/antique数据集

使用示例

python from datasets import load_dataset

queries = load_dataset(irds/antique_train_split200-valid, queries) for record in queries: record # {query_id: ..., text: ...}

qrels = load_dataset(irds/antique_train_split200-valid, qrels) for record in qrels: record # {query_id: ..., doc_id: ..., relevance: ...}

引用信息

@inproceedings{Hashemi2020Antique, title={ANTIQUE: A Non-Factoid Question Answering Benchmark}, author={Helia Hashemi and Mohammad Aliannejadi and Hamed Zamani and Bruce Croft}, booktitle={ECIR}, year={2020} }