Datasets:
metadata
language:
- en
- multilingual
- ar
- bg
- ca
- cs
- da
- de
- el
- es
- fa
- fr
- he
- hi
- hu
- id
- it
- ko
- mk
- my
- nl
- pl
- pt
- ro
- ru
- sq
- sr
- sv
- tr
- ur
size_categories:
- 1M<n<10M
task_categories:
- feature-extraction
- sentence-similarity
pretty_name: Global Voices
tags:
- sentence-transformers
dataset_info:
- config_name: all
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 307081941
num_examples: 1099099
download_size: 190002622
dataset_size: 307081941
- config_name: en-ar
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 16885313
num_examples: 51974
download_size: 9827030
dataset_size: 16885313
- config_name: en-bg
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 1947824
num_examples: 5628
download_size: 1085517
dataset_size: 1947824
- config_name: en-ca
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 1742805
num_examples: 6876
download_size: 1131159
dataset_size: 1742805
- config_name: en-cs
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 4258819
num_examples: 16676
download_size: 2805864
dataset_size: 4258819
- config_name: en-da
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 1712995
num_examples: 6869
download_size: 1102575
dataset_size: 1712995
- config_name: en-de
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 16687620
num_examples: 65777
download_size: 10748257
dataset_size: 16687620
- config_name: en-el
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 30394478
num_examples: 88377
download_size: 17101550
dataset_size: 30394478
- config_name: en-es
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 61310052
num_examples: 248152
download_size: 39914934
dataset_size: 61310052
- config_name: en-fa
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 2613949
num_examples: 9010
download_size: 1472690
dataset_size: 2613949
- config_name: en-fr
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 22871440
num_examples: 88239
download_size: 14830719
dataset_size: 22871440
- config_name: en-he
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 286683
num_examples: 1027
download_size: 168390
dataset_size: 286683
- config_name: en-hi
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 868904
num_examples: 2292
download_size: 424604
dataset_size: 868904
- config_name: en-hu
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 3408005
num_examples: 13577
download_size: 2233314
dataset_size: 3408005
- config_name: en-id
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 3443192
num_examples: 14294
download_size: 2166182
dataset_size: 3443192
- config_name: en-it
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 25444708
num_examples: 96874
download_size: 16507266
dataset_size: 25444708
- config_name: en-ko
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 2082055
num_examples: 8152
download_size: 1320450
dataset_size: 2082055
- config_name: en-mk
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 16524128
num_examples: 49497
download_size: 9153031
dataset_size: 16524128
- config_name: en-my
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 1001821
num_examples: 2271
download_size: 435214
dataset_size: 1001821
- config_name: en-nl
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 8916931
num_examples: 37869
download_size: 5753473
dataset_size: 8916931
- config_name: en-pl
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 11246066
num_examples: 45378
download_size: 7531387
dataset_size: 11246066
- config_name: en-pt
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 18681074
num_examples: 70665
download_size: 12214275
dataset_size: 18681074
- config_name: en-ro
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 929136
num_examples: 3594
download_size: 597417
dataset_size: 929136
- config_name: en-ru
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 43385316
num_examples: 126775
download_size: 24743893
dataset_size: 43385316
- config_name: en-sq
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 1444346
num_examples: 5745
download_size: 925907
dataset_size: 1444346
- config_name: en-sr
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 4979414
num_examples: 19824
download_size: 3346021
dataset_size: 4979414
- config_name: en-sv
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 2032573
num_examples: 8382
download_size: 1317708
dataset_size: 2032573
- config_name: en-tr
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 1267474
num_examples: 5481
download_size: 815457
dataset_size: 1267474
- config_name: en-ur
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
num_bytes: 1041389
num_examples: 3571
download_size: 590291
dataset_size: 1041389
configs:
- config_name: all
data_files:
- split: train
path: all/train-*
- config_name: en-ar
data_files:
- split: train
path: en-ar/train-*
- config_name: en-bg
data_files:
- split: train
path: en-bg/train-*
- config_name: en-ca
data_files:
- split: train
path: en-ca/train-*
- config_name: en-cs
data_files:
- split: train
path: en-cs/train-*
- config_name: en-da
data_files:
- split: train
path: en-da/train-*
- config_name: en-de
data_files:
- split: train
path: en-de/train-*
- config_name: en-el
data_files:
- split: train
path: en-el/train-*
- config_name: en-es
data_files:
- split: train
path: en-es/train-*
- config_name: en-fa
data_files:
- split: train
path: en-fa/train-*
- config_name: en-fr
data_files:
- split: train
path: en-fr/train-*
- config_name: en-he
data_files:
- split: train
path: en-he/train-*
- config_name: en-hi
data_files:
- split: train
path: en-hi/train-*
- config_name: en-hu
data_files:
- split: train
path: en-hu/train-*
- config_name: en-id
data_files:
- split: train
path: en-id/train-*
- config_name: en-it
data_files:
- split: train
path: en-it/train-*
- config_name: en-ko
data_files:
- split: train
path: en-ko/train-*
- config_name: en-mk
data_files:
- split: train
path: en-mk/train-*
- config_name: en-my
data_files:
- split: train
path: en-my/train-*
- config_name: en-nl
data_files:
- split: train
path: en-nl/train-*
- config_name: en-pl
data_files:
- split: train
path: en-pl/train-*
- config_name: en-pt
data_files:
- split: train
path: en-pt/train-*
- config_name: en-ro
data_files:
- split: train
path: en-ro/train-*
- config_name: en-ru
data_files:
- split: train
path: en-ru/train-*
- config_name: en-sq
data_files:
- split: train
path: en-sq/train-*
- config_name: en-sr
data_files:
- split: train
path: en-sr/train-*
- config_name: en-sv
data_files:
- split: train
path: en-sv/train-*
- config_name: en-tr
data_files:
- split: train
path: en-tr/train-*
- config_name: en-ur
data_files:
- split: train
path: en-ur/train-*
Dataset Card for Parallel Sentences - Global Voices
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 Global Voices 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 Subsets
all
subset
- Columns: "english", "non_english"
- Column types:
str
,str
- Examples:
{ "english": "We're thrilled to be honored as the jury's choice for the Best Journalistic Blog in English.", "non_english": "تغمرنا السعادة بهذا التكريم باختيارنا أفضل مدونة صحفية بالإنجليزية." }
- Collection strategy: Combining all other subsets from this dataset.
- Deduplified: No
en-...
subsets
- Columns: "english", "non_english"
- Column types:
str
,str
- Examples:
{ "english": "Lisa Stone of Surfette was on the jury that chose our blog for the DW honor.", "non_english": "Lisa Stone, do Surfette, participou do júri que escolher o nosso blog para a honra." }
- Collection strategy: Processing the raw data from parallel-sentences and formatting it in Parquet, followed by deduplication.
- Deduplified: Yes