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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:
      - name: train
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    download_size: 4579962976
    dataset_size: 8172178281
  - config_name: en-bg
    features:
      - name: english
        dtype: string
      - name: non_english
        dtype: string
    splits:
      - name: train
        num_bytes: 173373239
        num_examples: 394924
    download_size: 84319064
    dataset_size: 173373239
  - config_name: en-cs
    features:
      - name: english
        dtype: string
      - name: non_english
        dtype: string
    splits:
      - name: train
        num_bytes: 194944083
        num_examples: 629197
    download_size: 113807900
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    features:
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      - name: non_english
        dtype: string
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    dataset_size: 609755766
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        dtype: string
      - name: non_english
        dtype: string
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      - name: train
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  - config_name: en-el
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        dtype: string
      - name: non_english
        dtype: string
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      - name: train
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        num_examples: 1266026
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  - config_name: en-es
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        dtype: string
      - name: non_english
        dtype: string
    splits:
      - name: train
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    download_size: 363006014
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  - config_name: en-et
    features:
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      - name: non_english
        dtype: string
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  - config_name: en-fi
    features:
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      - name: non_english
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    splits:
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  - config_name: en-fr
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      - name: non_english
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      - name: non_english
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      - name: non_english
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      - name: train
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  - config_name: en-lt
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      - name: non_english
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  - config_name: en-lv
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      - name: non_english
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      - name: train
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  - config_name: en-nl
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      - name: non_english
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      - name: train
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      - name: non_english
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      - name: non_english
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      - name: train
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  - config_name: en-ro
    features:
      - name: english
        dtype: string
      - name: non_english
        dtype: string
    splits:
      - name: train
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  - config_name: en-sk
    features:
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        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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  - config_name: en-sv
    features:
      - name: english
        dtype: string
      - name: non_english
        dtype: string
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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:

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