parallel-sentences-jw300

# Dataset Card for Parallel Sentences - JW300

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 [JW300](https://opus.nlpl.eu/JW300.php) 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 Subsets

### `all` subset

* Columns: "english", "non_english"
* Column types: `str`, `str`
* Examples:
```python
{
"english": "It will really help me. I am a compulsive TV watcher.",
"non_english": "سيكون هذا الفصل خير مساعد لي .‏"
}
```
* Collection strategy: Combining all other subsets from this dataset.
* Deduplified: No

### `en-...` subsets

* Columns: "english", "non_english"
* Column types: `str`, `str`
* Examples:
```python
{
"english": "But then you realize you do not have any money with you to pay for the refreshment.",
"non_english": "Namun, kemudian Anda sadar bahwa Anda tidak punya uang untuk membelinya."
}
```
* Collection strategy: Processing the raw data from [parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences) and formatting it in Parquet, followed by deduplication.
* Deduplified: Yes

# 平行语句（Parallel Sentences）数据集卡片 —— JW300

本数据集包含适用于众多其他语言的平行语句（即英文语句 + 对应另一语言的语义等价语句），绝大多数语句源自[OPUS网站](https://opus.nlpl.eu/)。具体而言，本数据集涵盖[JW300](https://opus.nlpl.eu/JW300.php)数据集。

## 相关数据集

以下数据集同样隶属于平行语句集合：
* [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)

这些数据集可用于训练多语言语句嵌入模型。更多信息请参阅[sbert.net —— 多语言模型](https://www.sbert.net/examples/training/multilingual/README.html)。

## 数据集子集

### `all` 子集
* 列名："english"、"non_english"
* 列类型：字符串（str）、字符串（str）
* 示例：
python
{
"english": "It will really help me. I am a compulsive TV watcher.",
"non_english": "سيكون هذا الفصل خير مساعد لي .‏"
}

* 收集策略：合并本数据集的所有其他子集
* 去重情况：否

### `en-*` 子集
* 列名："english"、"non_english"
* 列类型：字符串（str）、字符串（str）
* 示例：
python
{
"english": "But then you realize you do not have any money with you to pay for the refreshment.",
"non_english": "Namun, kemudian Anda sadar bahwa Anda tidak punya uang untuk membelinya."
}

* 收集策略：对[parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences)的原始数据进行处理并以Parquet格式格式化，随后执行去重操作
* 去重情况：是