Datasets:
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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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* 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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* 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
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