metadata

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

This is a few shot training dataset from the domain of human-robot interaction. It contains texts in German and English language with 64 different utterances (classes). Each utterance (class) has exactly 20 samples in the training set. This leads to a total of 1280 different training samples.

With this publication, we are building on our deutsche-telekom/NLU-Evaluation-Data-en-de data set.

Processing Steps

drop NaN values
drop duplicates in answer_de and answer
delete all rows where answer_de has more than 70 characters
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

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