---
license: cc-by-4.0
language:
- en
- de
multilinguality:
- multilingual
source_datasets:
- extended|deutsche-telekom/NLU-Evaluation-Data-en-de
size_categories:
- n<1K
---

# NLU Few-shot Benchmark - English and German

## Processing Steps
- drop `NaN` values
- drop duplicates in `answer_de`
- add `char_count` column
- delete all rows with `char_count` > 70
- add column `label`: `df["label"] = df["scenario"] + "_" + df["intent"]`
- remove classes (`label`) with less than 25 samples:
  - `audio_volume_other`
  - `cooking_query`
  - `general_greet`
  - `music_dislikeness`
- random selection for train set - exactly 20 samples for each class (`label`)
- rest for test set

## 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/), [Deutsche Telekom AG](https://www.telekom.com/)

All data is released under the
[Creative Commons Attribution 4.0 International License (CC BY 4.0)](http://creativecommons.org/licenses/by/4.0/).