Datasets:

deutsche-telekom
/

ger-backtrans-paraphrase

Tasks:

Sentence Similarity

Modalities:

Formats:

Languages:

Size:

ArXiv:

Tags:

sentence-transformers

Libraries:

License:

Dataset card Viewer Files Files and versions Community

PhilipMay commited on Nov 22, 2022

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c9e9e7f

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1 Parent(s): 22a868d

remove todo

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@@ -22,11 +22,6 @@ To do this, for example, [SentenceTransformers](https://www.sbert.net/)
 and the [MultipleNegativesRankingLoss](https://www.sbert.net/docs/package_reference/losses.html#multiplenegativesrankingloss)
 can be used.
-## To-do
-- upload dataset
-- suggest further postprocessing
-- explain dirty "texts" in OpenSubtitles
 ## Our pre-processing
 Apart from the back translation, we have added more columns (for details see below). We have carried out the following pre-processing and filtering:
 - We dropped text pairs where one text was longer than 499 characters.

 and the [MultipleNegativesRankingLoss](https://www.sbert.net/docs/package_reference/losses.html#multiplenegativesrankingloss)
 can be used.
 ## Our pre-processing
 Apart from the back translation, we have added more columns (for details see below). We have carried out the following pre-processing and filtering:
 - We dropped text pairs where one text was longer than 499 characters.