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Datasets:
sentence-transformers
/
parallel-sentences-muse

Tasks:
Feature Extraction
Sentence Similarity
Modalities:
Text
Formats:
parquet
Languages:
English
multilingual
Size:
1M - 10M
Tags:
sentence-transformers
Libraries:
Datasets
pandas
Dataset card Data Studio Files
xet
Community
parallel-sentences-muse
File size: 2,830 Bytes
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---
language:
- en
- multilingual
size_categories:
- 1M<n<10M
task_categories:
- feature-extraction
- sentence-similarity
pretty_name: MUSE
tags:
- sentence-transformers
dataset_info:
  features:
  - name: english
    dtype: string
  - name: non_english
    dtype: string
  splits:
  - name: train
    num_bytes: 35407213
    num_examples: 1368274
  download_size: 31994079
  dataset_size: 35407213
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# 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