Datasets:
Tasks:
Text Classification
Sub-tasks:
intent-classification
Multilinguality:
multilingual
Size Categories:
1K<n<10K
Source Datasets:
extended|deutsche-telekom/NLU-Evaluation-Data-en-de
Tags:
License:
| license: cc-by-4.0 | |
| language: | |
| - en | |
| - de | |
| multilinguality: | |
| - multilingual | |
| source_datasets: | |
| - extended|deutsche-telekom/NLU-Evaluation-Data-en-de | |
| size_categories: | |
| - 1K<n<10K | |
| task_categories: | |
| - text-classification | |
| task_ids: | |
| - intent-classification | |
| # 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. | |
| The dataset is intended to benchmark the intent classifiers of chat bots in English and especially in German language. | |
| We are building on our | |
| [deutsche-telekom/NLU-Evaluation-Data-en-de](https://huggingface.co/datasets/deutsche-telekom/NLU-Evaluation-Data-en-de) | |
| data set | |
| ## Creator | |
| This data set was compiled and open sourced by [Philip May](https://may.la/) | |
| of [Deutsche Telekom](https://www.telekom.de/). | |
| ## 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 | |
| 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/). | |