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Update README.md

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@@ -1025,7 +1025,10 @@ 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
@@ -1036,7 +1039,10 @@ 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 met a friend of Mary's.",
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+ "non_english": "मी मेरीच्या एका मैत्रिणीला भेटलो."
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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": "The password is "Muiriel".",
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+ "non_english": "Das Passwort lautet „Muiriel“."
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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