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README.md

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----
-license: cc-by-4.0
-source_datasets:
-- extended|nlu_evaluation_data
-multilinguality:
-- multilingual
-language:
-- en
-- de
-size_categories:
-- 10K<n<100K
----
-
-# NLU Evaluation Data - English and German
-A labeled English **and German** language multi-domain dataset (21 domains) with 25K user utterances for human-robot interaction.
-
-This dataset is collected and annotated for evaluating NLU services and platforms.
-The detailed paper on this dataset can be found at arXiv.org:
-[Benchmarking Natural Language Understanding Services for building Conversational Agents](https://arxiv.org/abs/1903.05566)
-
-The dataset builds on the annotated data of the [xliuhw/NLU-Evaluation-Data](https://github.com/xliuhw/NLU-Evaluation-Data)
-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).
-
-## 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).
-These rows should be filtered.
-
-The dataset also contains duplicate values.
-
-## Copyright
-Copyright (c) the authors of [xliuhw/NLU-Evaluation-Data](https://github.com/xliuhw/NLU-Evaluation-Data)\
-Copyright (c) 2022 [Philip May](https://may.la/)
-
-All data is released under the
-[Creative Commons Attribution 4.0 International License (CC BY 4.0)](http://creativecommons.org/licenses/by/4.0/).

train.csv.gz → deutsche-telekom--NLU-Evaluation-Data-en-de/csv-train.parquet

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