metadata

language:
  - en
  - multilingual
  - ar
  - bg
  - ca
  - cs
  - da
  - de
  - el
  - es
  - et
  - fa
  - fi
  - fr
  - gl
  - he
  - hi
  - hr
  - id
  - it
  - ja
  - ka
  - ko
  - lt
  - mk
  - mr
  - nl
  - pl
  - pt
  - ro
  - ru
  - sk
  - sl
  - sq
  - sr
  - uk
  - vi
  - zh
size_categories:
  - 1M<n<10M
task_categories:
  - feature-extraction
  - sentence-similarity
pretty_name: WikiMatrix
tags:
  - sentence-transformers
dataset_info:
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      - name: non_english
        dtype: string
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configs:
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      - split: dev
        path: all/dev-*
      - split: train
        path: all/train-*
  - config_name: en-ar
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      - split: train
        path: en-ar/train-*
  - config_name: en-bg
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        path: en-bg/dev-*
      - split: train
        path: en-bg/train-*
  - config_name: en-ca
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        path: en-ca/dev-*
      - split: train
        path: en-ca/train-*
  - config_name: en-cs
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      - split: train
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      - split: train
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  - config_name: en-de
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      - split: train
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      - split: train
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  - config_name: en-es
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      - split: train
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      - split: train
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      - split: train
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      - split: train
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      - split: train
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      - split: train
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      - split: train
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      - split: train
        path: en-sk/train-*
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      - split: train
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      - split: train
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      - split: train
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  - config_name: en-tr
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      - split: train
        path: en-tr/train-*
  - config_name: en-uk
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      - split: train
        path: en-uk/train-*
  - config_name: en-vi
    data_files:
      - split: dev
        path: en-vi/dev-*
      - split: train
        path: en-vi/train-*
  - config_name: en-zh
    data_files:
      - split: dev
        path: en-zh/dev-*
      - split: train
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Dataset Card for Parallel Sentences - WikiMatrix

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 WikiMatrix 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": "I will go down with you into Egypt, and I will also surely bring you up again."",
  "non_english": "Аз ще бъда с тебе в Египет и Аз ще те изведа назад.""
}

Collection strategy: Combining all other subsets from this dataset.
Deduplified: No

`en-...` subsets

Columns: "english", "non_english"
Column types: str, str