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

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Models trained or fine-tuned on sentence-transformers/parallel-sentences-europarl

sentence-transformers/static-similarity-mrl-multilingual-v1

T3LS/static-similarity-mrl-multilingual-v1-32d-fp16

Collections including sentence-transformers/parallel-sentences-europarl

Embedding Model Datasets

Collection

A curated subset of the datasets that work out of the box with Sentence Transformers: https://huggingface.co/datasets?other=sentence-transformers • 70 items • Updated Dec 10, 2025 • 173

Parallel Sentences Datasets

Collection

These datasets all have "english" and "non_english" columns for numerous datasets. They can be used to make embedding models multilingual. • 14 items • Updated Dec 10, 2025 • 23

Dataset Card for Parallel Sentences - Europarl