Datasets:

deutsche-telekom
/

NLU-Evaluation-Data-en-de

Tasks:

Text Classification

Sub-tasks:

intent-classification

Languages:

Multilinguality:

Size Categories:

Source Datasets:

extended|nlu_evaluation_data

ArXiv:

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PhilipMay commited on Dec 2, 2022

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8697110

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1 Parent(s): 0c4ab20

explain labels

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@@ -14,6 +14,12 @@ repository. We have added an additional column (`answer_de`)
 by translating the texts in column `answer` into German.
 The translation was made with [DeepL](https://www.deepl.com/translator).
 ## Dataset Quirks
 The original dataset contains some `NaN` values in the `answer` column.
 This means that there are also `NaN` values in the translations (`answer_de` column).

 by translating the texts in column `answer` into German.
 The translation was made with [DeepL](https://www.deepl.com/translator).
+## Labels
+The columns `scenario` and `intent` can be used for classification tasks.
+However, we recommend to use even more fine-grained labels.
+For this purpose, a new label can be derived by concatenating `scenario` and `intent`.
+For example, this would turn "alarm" and "set" into "alarm_set".
 ## Dataset Quirks
 The original dataset contains some `NaN` values in the `answer` column.
 This means that there are also `NaN` values in the translations (`answer_de` column).