README.md

---
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])