parallel-sentences-wikititles

# Dataset Card for Parallel Sentences - WikiTitles

This dataset contains parallel sentences (i.e. English sentence + the same sentences in another language) for numerous other languages. Most of the sentences originate from the [OPUS website](https://opus.nlpl.eu/).
In particular, this dataset contains the [WikiTitles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences) dataset.

## Related Datasets

The following datasets are also a part of the Parallel Sentences collection:
* [parallel-sentences-europarl](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-europarl)
* [parallel-sentences-global-voices](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-global-voices)
* [parallel-sentences-muse](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-muse)
* [parallel-sentences-jw300](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-jw300)
* [parallel-sentences-news-commentary](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-news-commentary)
* [parallel-sentences-opensubtitles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-opensubtitles)
* [parallel-sentences-talks](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-talks)
* [parallel-sentences-tatoeba](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-tatoeba)
* [parallel-sentences-wikimatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikimatrix)
* [parallel-sentences-wikititles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikititles)
* [parallel-sentences-ccmatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-ccmatrix)

These datasets can be used to train multilingual sentence embedding models. For more information, see [sbert.net - Multilingual Models](https://www.sbert.net/examples/training/multilingual/README.html).

## Dataset Stats

* Columns: "english", "non_english"
* Column types: `str`, `str`
* Examples:
```python
{
"english": "Hossain Toufique Imam",
"non_english": "হোসেন তৌফিক ইমাম"
}
```
* Collection strategy: Processing the raw data from [parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences) and formatting it in Parquet.
* Deduplified: No

# 平行语句数据集卡片 —— WikiTitles
本数据集包含适用于多种其他语言的平行语句（Parallel Sentences，即英语语句与其语义完全一致的其他语言语句），其中绝大多数语料源自[OPUS网站](https://opus.nlpl.eu/)。
具体而言，本数据集收录了[WikiTitles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences)数据集。

## 相关数据集
以下数据集同样隶属于平行语句数据集集合：
* [parallel-sentences-europarl](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-europarl)
* [parallel-sentences-global-voices](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-global-voices)
* [parallel-sentences-muse](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-muse)
* [parallel-sentences-jw300](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-jw300)
* [parallel-sentences-news-commentary](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-news-commentary)
* [parallel-sentences-opensubtitles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-opensubtitles)
* [parallel-sentences-talks](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-talks)
* [parallel-sentences-tatoeba](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-tatoeba)
* [parallel-sentences-wikimatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikimatrix)
* [parallel-sentences-wikititles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikititles)
* [parallel-sentences-ccmatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-ccmatrix)

上述数据集可用于训练多语种语句嵌入模型。如需获取更多相关信息，请参阅[sbert.net - 多语种模型](https://www.sbert.net/examples/training/multilingual/README.html)。

## 数据集统计信息
* 字段：`english`、`non_english`
* 字段类型：均为字符串类型（`str`）
* 示例：
python
{
"english": "Hossain Toufique Imam",
"non_english": "হোসেন তৌফিক ইমাম"
}

* 采集策略：对[parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences)的原始数据进行处理，并以Parquet格式进行格式化存储。
* 去重处理：未执行去重操作。