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Update README.md

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@@ -229,7 +229,10 @@ 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
@@ -240,7 +243,10 @@ 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": "Pure interests – expressed through lobbying power – were undoubtedly important to several key deregulation measures in the US, whose political system and campaign-finance rules are peculiarly conducive to the power of specific lobbies.",
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+ "non_english": "Заинтересованные группы, действующие посредством лоббирования власти, явились важными действующими лицами при принятии нескольких ключевых мер по отмене регулирующих норм в США, чья политическая система и правила финансирования кампаний особенно поддаются власти отдельных лобби."
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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": "Last December, many gold bugs were arguing that the price was inevitably headed for $2,000.",
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+ "non_english": "Lo scorso dicembre, molti fanatici dell’oro sostenevano che il suo prezzo era inevitabilmente destinato a raggiungere i 2000 dollari."
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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