Datasets:
metadata
language:
- en
- multilingual
- bg
- cs
- da
- de
- el
- es
- et
- fi
- fr
- hu
- it
- lt
- lv
- nl
- pl
- pt
- ro
- sk
- sl
- sv
size_categories:
- 10M<n<100M
task_categories:
- feature-extraction
- sentence-similarity
pretty_name: Europarl
tags:
- sentence-transformers
dataset_info:
- config_name: all
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
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- config_name: en-bg
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
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- config_name: en-cs
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
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- config_name: en-da
features:
- name: english
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- name: non_english
dtype: string
splits:
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- config_name: en-de
features:
- name: english
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- name: non_english
dtype: string
splits:
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- config_name: en-el
features:
- name: english
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- name: non_english
dtype: string
splits:
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- config_name: en-es
features:
- name: english
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- name: non_english
dtype: string
splits:
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- config_name: en-et
features:
- name: english
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- name: non_english
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splits:
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- config_name: en-fi
features:
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splits:
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- config_name: en-fr
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
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- config_name: en-hu
features:
- name: english
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- name: non_english
dtype: string
splits:
- name: train
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- config_name: en-it
features:
- name: english
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splits:
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- config_name: en-lt
features:
- name: english
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dtype: string
splits:
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- config_name: en-lv
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
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- config_name: en-nl
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
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- config_name: en-pl
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
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- config_name: en-pt
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- config_name: en-ro
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- name: english
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- config_name: en-sk
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
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- config_name: en-sl
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
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download_size: 104085859
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- config_name: en-sv
features:
- name: english
dtype: string
- name: non_english
dtype: string
splits:
- name: train
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download_size: 328406795
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configs:
- config_name: all
data_files:
- split: train
path: all/train-*
- config_name: en-bg
data_files:
- split: train
path: en-bg/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-et
data_files:
- split: train
path: en-et/train-*
- config_name: en-fi
data_files:
- split: train
path: en-fi/train-*
- config_name: en-fr
data_files:
- split: train
path: en-fr/train-*
- config_name: en-hu
data_files:
- split: train
path: en-hu/train-*
- config_name: en-it
data_files:
- split: train
path: en-it/train-*
- config_name: en-lt
data_files:
- split: train
path: en-lt/train-*
- config_name: en-lv
data_files:
- split: train
path: en-lv/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-sk
data_files:
- split: train
path: en-sk/train-*
- config_name: en-sl
data_files:
- split: train
path: en-sl/train-*
- config_name: en-sv
data_files:
- split: train
path: en-sv/train-*
Dataset Card for Parallel Sentences - Europarl
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 Europarl 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": "Membership of Parliament: see Minutes", "non_english": "Състав на Парламента: вж. протоколи" }
- Collection strategy: Combining all other subsets from this dataset.
- Deduplified: No
en-...
subsets
- Columns: "english", "non_english"
- Column types:
str
,str
- Examples:
{ "english": "Resumption of the session", "non_english": "Reanudación del período de sesiones" }
- Collection strategy: Processing the raw data from parallel-sentences and formatting it in Parquet, followed by deduplication.
- Deduplified: Yes