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@@ -920,7 +920,10 @@ These datasets can be used to train multilingual sentence embedding models. For
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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
@@ -931,7 +934,10 @@ These datasets can be used to train multilingual sentence embedding models. For
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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
 
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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": "I will go down with you into Egypt, and I will also surely bring you up again."",
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+ "non_english": "Аз ще бъда с тебе в Египет и Аз ще те изведа назад.""
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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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  * Column types: `str`, `str`
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  * Examples:
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  ```python
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+ {
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+ "english": "By Him Who is the Lord of mankind!",
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+ "non_english": "しかしながら人主の患はまた人を信ぜざるにもある。"
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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