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  dataset_info:
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  - config_name: all
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  features:
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  - split: train
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  path: en-zh/train-*
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  ---
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+ language:
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+ - en
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+ - multilingual
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+ - ar
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+ - bg
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+ - ca
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+ - cs
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+ - da
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+ - de
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+ - el
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+ - es
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+ - et
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+ - fa
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+ - fi
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+ - fr
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+ - gl
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+ - gu
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+ - he
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+ - hi
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+ - hu
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+ - hy
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+ - id
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+ - it
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+ - ja
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+ - ka
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+ - ko
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+ - ku
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+ - lt
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+ - lv
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+ - mk
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+ - mn
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+ - mr
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+ - ms
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+ - my
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+ - nb
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+ - nl
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+ - pl
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+ - pt
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+ - ro
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+ - ru
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+ - sk
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+ - sl
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+ - sq
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+ - sr
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+ - sv
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+ - th
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+ - tr
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+ - uk
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+ - ur
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+ - vi
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+ - zh
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+ size_categories:
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+ - 1M<n<10M
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+ task_categories:
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+ - feature-extraction
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+ - sentence-similarity
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+ pretty_name: Tatoeba
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+ tags:
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+ - sentence-transformers
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  dataset_info:
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  - config_name: all
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  features:
 
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  - split: train
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  path: en-zh/train-*
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  ---
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+
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+ # Dataset Card for Parallel Sentences - Tatoeba
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+
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+ 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](https://opus.nlpl.eu/).
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+ In particular, this dataset contains the [Tatoeba](https://tatoeba.org) dataset.
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+
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+ ## Related Datasets
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+
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+ The following datasets are also a part of the Parallel Sentences collection:
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+ * [parallel-sentences-europarl](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-europarl)
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+ * [parallel-sentences-global-voices](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-global-voices)
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+ * [parallel-sentences-muse](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-muse)
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+ * [parallel-sentences-jw300](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-jw300)
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+ * [parallel-sentences-news-commentary](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-news-commentary)
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+ * [parallel-sentences-opensubtitles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-opensubtitles)
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+ * [parallel-sentences-talks](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-talks)
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+ * [parallel-sentences-tatoeba](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-tatoeba)
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+ * [parallel-sentences-wikimatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikimatrix)
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+ * [parallel-sentences-wikititles](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-wikititles)
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+
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+ These datasets can be used to train multilingual sentence embedding models. For more information, see [sbert.net - Multilingual Models](https://www.sbert.net/examples/training/multilingual/README.html).
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+
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+ ## Dataset Subsets
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+
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+ ### `all` subset
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+
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+ * Columns: "english", "non_english"
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+ * Column types: `str`, `str`
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+ * Examples:
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+ ```python
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+
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+ ```
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+ * Collection strategy: Combining all other subsets from this dataset.
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+ * Deduplified: No
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+
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+ ### `en-...` subsets
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+
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+ * Columns: "english", "non_english"
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+ * Column types: `str`, `str`
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+ * Examples:
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+ ```python
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+
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+ ```
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+ * Collection strategy: Processing the raw data from [parallel-sentences](https://huggingface.co/datasets/sentence-transformers/parallel-sentences) and formatting it in Parquet, followed by deduplication.
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+ * Deduplified: Yes