Datasets:

Languages:
German
Multilinguality:
monolingual
Size Categories:
10M<n<100M
ArXiv:
License:
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@@ -22,12 +22,10 @@ To do this, for example, [SentenceTransformers](https://www.sbert.net/)
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  and the [MultipleNegativesRankingLoss](https://www.sbert.net/docs/package_reference/losses.html#multiplenegativesrankingloss)
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  can be used.
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- ## Maintainers
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- [![One Conversation](https://huggingface.co/datasets/deutsche-telekom/ger-backtrans-paraphrase/resolve/main/1c-logo.png)](https://www.welove.ai/)
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- This dataset is open sourced by [Philip May](https://may.la/)
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- and maintained by the [One Conversation](https://www.welove.ai/)
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- team of [Deutsche Telekom AG](https://www.telekom.com/).
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  ## Our pre-processing
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  Apart from the back translation, we have added more columns (for details see below). We have carried out the following pre-processing and filtering:
 
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  and the [MultipleNegativesRankingLoss](https://www.sbert.net/docs/package_reference/losses.html#multiplenegativesrankingloss)
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  can be used.
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+ ## Creators
 
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+ This data set was compiled and open sourced by [Philip May](https://may.la/)
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+ of [Deutsche Telekom](https://www.telekom.de/).
 
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  ## Our pre-processing
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  Apart from the back translation, we have added more columns (for details see below). We have carried out the following pre-processing and filtering: