Datasets:
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README.md
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path: en-zh/train-*
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path: en-zh/train-*
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---
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# Dataset Card for Parallel Sentences - CCMatrix
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This dataset contains parallel sentences (i.e. English sentence + the same sentences in another language) for numerous other languages. The texts originate from the [CCMatrix](https://ai.meta.com/blog/ccmatrix-a-billion-scale-bitext-data-set-for-training-translation-models/) dataset.
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## Related Datasets
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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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* [parallel-sentences-ccmatrix](https://huggingface.co/datasets/sentence-transformers/parallel-sentences-ccmatrix)
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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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## Dataset Subsets
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### `en-...` subsets
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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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"english": "",
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"non_english": "",
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}
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```
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* Collection strategy: Processing the data from [yhavinga/ccmatrix](https://huggingface.co/datasets/yhavinga/ccmatrix) and reformatting it in Parquet and with "english" and "non_english" columns.
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* Deduplified: No
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