Datasets:
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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
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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
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