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Update README.md

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@@ -773,7 +773,10 @@ 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
@@ -784,7 +787,10 @@ 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": "It will really help me. I am a compulsive TV watcher.",
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+ "non_english": "سيكون هذا الفصل خير مساعد لي .‏"
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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": "But then you realize you do not have any money with you to pay for the refreshment.",
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+ "non_english": "Namun, kemudian Anda sadar bahwa Anda tidak punya uang untuk membelinya."
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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