parallel-sentences-muse
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https://modelscope.cn/datasets/sentence-transformers/parallel-sentences-muse
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# Dataset Card for Parallel Sentences - MUSE
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 [MUSE](https://github.com/facebookresearch/MUSE) 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": "consistency",
"non_english": "pastovumas"
}
```
* 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 —— MUSE
本数据集涵盖适用于多语种的平行语句（即英语语句与对应语言的译句），绝大多数语料源自[OPUS网站](https://opus.nlpl.eu/)。具体而言，本数据集包含[MUSE（MUSE）](https://github.com/facebookresearch/MUSE)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言语句嵌入模型。更多详细信息可参阅[sbert.net - 多语言模型](https://www.sbert.net/examples/training/multilingual/README.html)。
## 数据集统计信息
* 字段名称："english"、"non_english"
* 字段类型：字符串（str）、字符串（str）
* 数据示例：
python
{
"english": "consistency",
"non_english": "pastovumas"
}
* 数据采集与构建策略：对[parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences)的原始数据进行处理，并以Parquet格式进行存储。
* 去重情况：未执行去重
提供机构：
maas
创建时间：
2025-01-06
