irds/wikiclir_ru

---
pretty_name: '`wikiclir/ru`'
viewer: false
source_datasets: []
task_categories:
- text-retrieval
---

# Dataset Card for `wikiclir/ru`

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

# Data

This dataset provides:
- `docs` (documents, i.e., the corpus); count=1,413,945
- `queries` (i.e., topics); count=664,924
- `qrels`: (relevance assessments); count=2,321,384

## Usage

```python
from datasets import load_dataset

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

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

qrels = load_dataset('irds/wikiclir_ru', '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{sasaki-etal-2018-cross,
title = "Cross-Lingual Learning-to-Rank with Shared Representations",
author = "Sasaki, Shota and
Sun, Shuo and
Schamoni, Shigehiko and
Duh, Kevin and
Inui, Kentaro",
booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)",
month = jun,
year = "2018",
address = "New Orleans, Louisiana",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/N18-2073",
doi = "10.18653/v1/N18-2073",
pages = "458--463"
}
```

原始信息汇总

数据集概述

数据集名称

wikiclir/ru

数据集来源

由 ir-datasets 包提供。

数据集内容

数据类型

• docs (文档，即语料库)：总数为1,413,945个。
• queries (查询，即主题)：总数为664,924个。
• qrels (相关性评估)：总数为2,321,384个。

数据结构

• docs 记录包含：doc_id, title, text。
• queries 记录包含：query_id, text。
• qrels 记录包含：query_id, doc_id, relevance, iteration。

使用方法

使用 datasets 库加载数据集： python from datasets import load_dataset

docs = load_dataset(irds/wikiclir_ru, docs) queries = load_dataset(irds/wikiclir_ru, queries) qrels = load_dataset(irds/wikiclir_ru, qrels)

引用信息

@inproceedings{sasaki-etal-2018-cross, title = "Cross-Lingual Learning-to-Rank with Shared Representations", author = "Sasaki, Shota and Sun, Shuo and Schamoni, Shigehiko and Duh, Kevin and Inui, Kentaro", booktitle = "Proceedings of the 2018 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Short Papers)", month = jun, year = "2018", address = "New Orleans, Louisiana", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/N18-2073", doi = "10.18653/v1/N18-2073", pages = "458--463" }