metadata

license: cc-by-4.0
source_datasets:
  - extended|nlu_evaluation_data
multilinguality:
  - multilingual
language:
  - en
  - de
size_categories:
  - 10K<n<100K
task_categories:
  - text-classification
task_ids:
  - intent-classification

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

The dataset builds on the annotated data of the 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.

Creator

This data set was compiled and open sourced by Philip May of Deutsche Telekom.

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

All data is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).