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@@ -1202,3 +1202,40 @@ configs:
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  - split: train
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  path: en-zh/train-*
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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 - 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