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---
language:
- de
license:
- cc-by-nc-sa-3.0
multilinguality:
- monolingual
task_categories:
- text-classification
task_ids:
- multi-class-classification
- sentiment-classification
pretty_name: FinancialPhrasebankGerman
tags:
- finance
dataset_info:
features:
- name: sentence
dtype: string
- name: label
dtype:
class_label:
names:
'0': negative
'1': neutral
'2': positive
splits:
- name: train
num_bytes: 422345
num_examples: 2763
- name: validation
num_bytes: 51710
num_examples: 344
- name: test
num_bytes: 55109
num_examples: 346
download_size: 318382
dataset_size: 529164
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
- split: test
path: data/test-*
---
# Dataset Card for German financial_phrasebank
## Dataset Description
### Dataset Summary
This datset is a German translation of the financial phrasebank of [Malo et al. (2013)](https://arxiv.org/abs/1307.5336) with a minimum agreement rate between annotators of 75% (3453 observations in total). The translation was mechanically accomplished with [Deepl](https://www.deepl.com/translator).
### Supported Tasks and Leaderboards
Sentiment Classification
### Languages
German
## Dataset Structure
### Data Instances
```
{ "sentence": "Die finnische nationale Fluggesellschaft gab an, dass der Nettoverlust in den Monaten April bis Juni 26 Millionen Euro betrug, verglichen mit einem Nettogewinn von 13 Millionen Euro im Vorjahr..",
"label": "negative"
}
```
### Data Fields
- sentence: a tokenized line from the dataset
- label: a label corresponding to the class as a string: 'positive', 'negative' or 'neutral'
### Data Splits
The data is splitted in a train, test and validation set using stratified sampling:
- train (2763 observations)
- validation (344 observations)
- test (346 observations)
## Further Information
For further information regarding the source data or the annotation process, please look at the original [paper](https://arxiv.org/abs/1307.5336) or the original [dataset](https://huggingface.co/datasets/financial_phrasebank).
## Licensing Information
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/.
In particular, this license permits the free use of the data for non-commercial purposes.
If you are interested in commercial use of the data, please contact the authors of the original datset for an appropriate license:
- [Pekka Malo](mailto:[email protected])
- [Ankur Sinha](mailto:[email protected])
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