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Datasets:
sentence-transformers
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parallel-sentences-global-voices

Tasks:
Feature Extraction
Sentence Similarity
Modalities:
Text
Formats:
parquet
Languages:
English
multilingual
Arabic
Size:
1M - 10M
Tags:
sentence-transformers
Libraries:
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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:
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    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:

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

en-... subsets

  • Columns: "english", "non_english"
  • Column types: str, str
  • Examples:
  • Collection strategy: Processing the raw data from parallel-sentences and formatting it in Parquet, followed by deduplication.
  • Deduplified: Yes