parallel-sentences-talks

# Dataset Card for Parallel Sentences - Talks

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 [Talks](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 Subsets

### `all` subset

* Columns: "english", "non_english"
* Column types: `str`, `str`
* Examples:
```python
{
'english': "See, the thing we're doing right now is we're forcing people to learn mathematics.",
'non_english': 'حسناً ان ما نقوم به اليوم .. هو ان نجبر الطلاب لتعلم الرياضيات',
}
```
* Collection strategy: Combining all other subsets from this dataset.
* Deduplified: No

### `en-...` subsets

* Columns: "english", "non_english"
* Column types: `str`, `str`
* Examples:
```python
{
'english': "So I think practicality is one case where it's worth teaching people by hand.",
'non_english': 'Ich denke, dass es sich aus diesem Grund lohnt, den Leuten das Rechnen von Hand beizubringen.',
}
```
* 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：Talks 子数据集
本数据集包含面向多语种的平行语句（parallel sentences），即英语语句与对应其他语言的同语义语句，绝大多数语料源自[OPUS网站](https://opus.nlpl.eu/)。本数据集尤其包含[Talks](https://huggingface.co/datasets/sentence-transformers/parallel-sentences)子数据集。

## 相关数据集
以下数据集同属平行语句合集：
* [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)

上述数据集可用于训练多语种语句嵌入模型（sentence embedding models）。更多详情请参阅[sbert.net - 多语种模型](https://www.sbert.net/examples/training/multilingual/README.html)。

## 数据集子集
### `all` 全量子集
* 字段：`english`、`non_english`
* 字段类型：均为字符串（`str`）
* 示例：
python
{
'english': "See, the thing we're doing right now is we're forcing people to learn mathematics.",
'non_english': 'حسناً ان ما نقوم به اليوم .. هو ان نجبر الطلاب لتعلم الرياضيات',
}

* 构建策略：合并本数据集其余所有子集
* 去重状态：未去重

### `en-*` 语种对子集
* 字段：`english`、`non_english`
* 字段类型：均为字符串（`str`）
* 示例：
python
{
'english': "So I think practicality is one case where it's worth teaching people by hand.",
'non_english': 'Ich denke, dass es sich aus diesem Grund lohnt, den Leuten das Rechnen von Hand beizubringen.',
}

* 构建策略：对[parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences)的原始数据进行处理并以Parquet格式存储，随后完成去重
* 去重状态：已去重