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add dataset purpose

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@@ -21,7 +21,8 @@ It contains texts in German and English language with 64 different utterances (c
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  Each utterance (class) has exactly 20 samples in the training set.
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  This leads to a total of 1280 different training samples.
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- With this publication, 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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  Each utterance (class) has exactly 20 samples in the training set.
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  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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