irds/mmarco_v2_it

---
pretty_name: '`mmarco/v2/it`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---

# Dataset Card for `mmarco/v2/it`

The `mmarco/v2/it` 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/v2/it).

# Data

This dataset provides:
- `docs` (documents, i.e., the corpus); count=8,841,823

This dataset is used by: [`mmarco_v2_it_dev`](https://huggingface.co/datasets/irds/mmarco_v2_it_dev), [`mmarco_v2_it_train`](https://huggingface.co/datasets/irds/mmarco_v2_it_train)

## Usage

```python
from datasets import load_dataset

docs = load_dataset('irds/mmarco_v2_it', 'docs')
for record in docs:
record # {'doc_id': ..., 'text': ...}

```

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

数据集卡片 mmarco/v2/it

数据集概述

mmarco/v2/it 数据集由 ir-datasets 包提供。该数据集主要用于文本检索任务。

数据内容

• 文档（即语料库）：包含 8,841,823 个文档。

使用方法

以下是加载和使用该数据集的示例代码： python from datasets import load_dataset

docs = load_dataset(irds/mmarco_v2_it, docs) for record in docs: record # {doc_id: ..., text: ...}

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} }