Datasets:
add maintainer
Browse files
README.md
CHANGED
@@ -22,6 +22,12 @@ To do this, for example, [SentenceTransformers](https://www.sbert.net/)
|
|
22 |
and the [MultipleNegativesRankingLoss](https://www.sbert.net/docs/package_reference/losses.html#multiplenegativesrankingloss)
|
23 |
can be used.
|
24 |
|
|
|
|
|
|
|
|
|
|
|
|
|
25 |
## Our pre-processing
|
26 |
Apart from the back translation, we have added more columns (for details see below). We have carried out the following pre-processing and filtering:
|
27 |
- We dropped text pairs where one text was longer than 499 characters.
|
|
|
22 |
and the [MultipleNegativesRankingLoss](https://www.sbert.net/docs/package_reference/losses.html#multiplenegativesrankingloss)
|
23 |
can be used.
|
24 |
|
25 |
+
## Maintainers
|
26 |
+
[![One Conversation](https://huggingface.co/datasets/deutsche-telekom/ger-backtrans-paraphrase/resolve/main/1c-logo.png)](https://www.welove.ai/)\
|
27 |
+
This dataset is open sourced by [Philip May](https://may.la/)
|
28 |
+
and maintained by the [One Conversation](https://www.welove.ai/)
|
29 |
+
team of [Deutsche Telekom AG](https://www.telekom.com/).
|
30 |
+
|
31 |
## Our pre-processing
|
32 |
Apart from the back translation, we have added more columns (for details see below). We have carried out the following pre-processing and filtering:
|
33 |
- We dropped text pairs where one text was longer than 499 characters.
|