parallel-sentences-tatoeba

# Dataset Card for Parallel Sentences - Tatoeba

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 [Tatoeba](https://tatoeba.org) 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": "I met a friend of Mary's.",
"non_english": "मी मेरीच्या एका मैत्रिणीला भेटलो."
}
```
* Collection strategy: Combining all other subsets from this dataset.
* Deduplified: No

### `en-...` subsets

* Columns: "english", "non_english"
* Column types: `str`, `str`
* Examples:
```python
{
"english": "The password is "Muiriel".",
"non_english": "Das Passwort lautet „Muiriel“."
}
```
* 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

# 平行语句数据集卡片 —— Tatoeba

本数据集包含多语种平行语句（即英语语句与对应其他语言的同语义语句），涵盖数十种其他语言。绝大多数语料源自[OPUS网站](https://opus.nlpl.eu/)。本数据集特别收录[Tatoeba](https://tatoeba.org)数据集。

## 相关数据集

以下数据集同样隶属于平行语句合集：
* [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种语句嵌入模型。更多信息请参阅[sbert.net — 多语种模型](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": "I met a friend of Mary's.",
"non_english": "मी मेरीच्या एका मैत्रिणीला भेटलो."
}

* 采集策略：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": "The password is "Muiriel".",
"non_english": "Das Passwort lautet „Muiriel“."
}

* 采集策略：处理来自[parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences)的原始数据，以Parquet格式进行格式化，随后执行去重操作。
* 去重情况：是