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--- |
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language: |
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- en |
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- multilingual |
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size_categories: |
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- 1M<n<10M |
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task_categories: |
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- feature-extraction |
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- sentence-similarity |
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pretty_name: MUSE |
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tags: |
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- sentence-transformers |
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dataset_info: |
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features: |
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- name: english |
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dtype: string |
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- name: non_english |
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dtype: string |
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splits: |
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- name: train |
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num_bytes: 35407213 |
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num_examples: 1368274 |
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download_size: 31994079 |
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dataset_size: 35407213 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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--- |
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# Dataset Card for Parallel Sentences - MUSE |
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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/). |
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In particular, this dataset contains the [MUSE](https://github.com/facebookresearch/MUSE) dataset. |
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## Related Datasets |
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The following datasets are also a part of the Parallel Sentences collection: |
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* [parallel-sentences-europarl](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-europarl) |
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* [parallel-sentences-global-voices](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-global-voices) |
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* [parallel-sentences-muse](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-muse) |
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* [parallel-sentences-jw300](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-jw300) |
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* [parallel-sentences-news-commentary](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-news-commentary) |
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* [parallel-sentences-opensubtitles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-opensubtitles) |
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* [parallel-sentences-talks](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-talks) |
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* [parallel-sentences-tatoeba](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-tatoeba) |
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* [parallel-sentences-wikimatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikimatrix) |
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* [parallel-sentences-wikititles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikititles) |
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* [parallel-sentences-ccmatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-ccmatrix) |
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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). |
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## Dataset Stats |
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* Columns: "english", "non_english" |
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* Column types: `str`, `str` |
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* Examples: |
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```python |
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{ |
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"english": "consistency", |
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"non_english": "pastovumas" |
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} |
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``` |
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* Collection strategy: Processing the raw data from [parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences) and formatting it in Parquet. |
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* Deduplified: No |
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