irds/mmarco_pt_dev_small

---
pretty_name: '`mmarco/pt/dev/small`'
viewer: false
source_datasets: ['irds/mmarco_pt']
task_categories:
- text-retrieval
---

# Dataset Card for `mmarco/pt/dev/small`

The `mmarco/pt/dev/small` dataset, provided by the [ir-datasets](https://ir-datasets.com/) package.
For more information about the dataset, see the [documentation](https://ir-datasets.com/mmarco#mmarco/pt/dev/small).

# Data

This dataset provides:
- `queries` (i.e., topics); count=7,000
- `qrels`: (relevance assessments); count=7,437

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

## Usage

```python
from datasets import load_dataset

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

qrels = load_dataset('irds/mmarco_pt_dev_small', '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

```
@article{Bonifacio2021MMarco,
title={{mMARCO}: A Multilingual Version of {MS MARCO} Passage Ranking Dataset},
author={Luiz Henrique Bonifacio and Israel Campiotti and Roberto Lotufo and Rodrigo Nogueira},
year={2021},
journal={arXiv:2108.13897}
}
```

原始信息汇总

数据集概述

数据集名称

mmarco/pt/dev/small

数据来源

• 源数据集：irds/mmarco_pt

数据集内容

• queries（查询，即主题）：数量为7,000
• qrels（相关性评估）：数量为7,437
• 对于docs（文档），使用数据集irds/mmarco_pt

数据集使用示例

python from datasets import load_dataset

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

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

引用信息

@article{Bonifacio2021MMarco, title={{mMARCO}: A Multilingual Version of {MS MARCO} Passage Ranking Dataset}, author={Luiz Henrique Bonifacio and Israel Campiotti and Roberto Lotufo and Rodrigo Nogueira}, year={2021}, journal={arXiv:2108.13897} }