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@@ -24,7 +24,12 @@ This leads to a total of 1280 different training samples.
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  The dataset is intended to benchmark the intent classifiers of chat bots in English and especially in German language.
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  We are building on our
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  [deutsche-telekom/NLU-Evaluation-Data-en-de](https://huggingface.co/datasets/deutsche-telekom/NLU-Evaluation-Data-en-de)
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- data set.
 
 
 
 
 
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  ## Processing Steps
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  - drop `NaN` values
 
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  The dataset is intended to benchmark the intent classifiers of chat bots in English and especially in German language.
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  We are building on our
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  [deutsche-telekom/NLU-Evaluation-Data-en-de](https://huggingface.co/datasets/deutsche-telekom/NLU-Evaluation-Data-en-de)
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+ data set
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+
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+ ## Creators
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+
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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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  ## Processing Steps
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  - drop `NaN` values