Datasets:
metadata
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. In particular, this dataset contains the MUSE dataset.
Related Datasets
The following datasets are also a part of the Parallel Sentences collection:
- parallel-sentences-europarl
- parallel-sentences-global-voices
- parallel-sentences-muse
- parallel-sentences-jw300
- parallel-sentences-news-commentary
- parallel-sentences-opensubtitles
- parallel-sentences-talks
- parallel-sentences-tatoeba
- parallel-sentences-wikimatrix
- parallel-sentences-wikititles
- parallel-sentences-ccmatrix
These datasets can be used to train multilingual sentence embedding models. For more information, see sbert.net - Multilingual Models.
Dataset Stats
- Columns: "english", "non_english"
- Column types:
str
,str
- Examples:
{ "english": "consistency", "non_english": "pastovumas" }
- Collection strategy: Processing the raw data from parallel-sentences and formatting it in Parquet.
- Deduplified: No