size_categories:n<1K language:de language:en license:apache-2.0 Languages Gramma region:us
---
license: apache-2.0
language:
- de
- en
tags:
- Languages
- Gramma
size_categories:
- n<1K
---
# Dataset Card
This gramma correction dataset is still work in progress! Do not use it for any serious LLM task - see Issues bellow.

## Dataset summary
This dataset is used to finetune LLMs for German gramma correction for English speakers.  

### Input
An input is German sentence, which has potentially grammatical errors.
### Output
Output is corrected sentence with minimal adjustments and list all gramma corrections and explanations.

### Dataset creation
The incorrect input sentences was created manually, the correction was prehenetaded by GPT and then finally manually corrected. The focus was on explainable gramma rules, and high quality of data.

### Issues 
The main issue is the small amounth of data points, all trained LLMs do not generalize well. The aim is to make various categories of grammatical errors and then add more examples with data augmentation.

#### Proposed gramma error categories (TODO)

- Interpuncion - ex. missing comma, comma on wrong position
- Wrong word order
- Missing clause words (missing subject,  object, verb,..)
- Additional clause words which should not be used
- Misspelling & Typos
- Conjugation of verbs - wrong person, wrong tense
- Declination of nouns+articles - Wrong article, wrong case
- Wrong prepositions/adjectives in given clause meaning 

Each category should have at least 15-20 datapoints for training, and 5 for evaluation.