README.md

---
language:
- de
license: cc-by-4.0
task_categories:
- text-classification
pretty_name: GermEval 18
dataset_info:
  features:
  - name: text
    dtype: string
  - name: coarse
    dtype:
      class_label:
        names:
          '0': OTHER
          '1': OFFENSE
  - name: fine
    dtype:
      class_label:
        names:
          '0': OTHER
          '1': ABUSE
          '2': INSULT
          '3': PROFANITY
  splits:
  - name: train
    num_bytes: 826320
    num_examples: 5009
  - name: test
    num_bytes: 509105
    num_examples: 3532
  download_size: 867329
  dataset_size: 1335425
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---
# GermEval18 Loader

- **Data Repository:** https://github.com/uds-lsv/GermEval-2018-Data
- **Data Reference:** https://doi.org/10.11588/data/0B5VML
- **Paper:** https://epub.oeaw.ac.at/0xc1aa5576_0x003a10d2.pdf

## Info
**Note:** This dataset is a loader script that pulls the data straight from the *official* GitHub repository.

**What is the difference to _philschmid/germeval18_?**: We did not get all samples, when using the former script.

Output from _philschmid/germeval18_:
```python
DatasetDict({
  train: Dataset({
      features: ['text', 'binary', 'multi'],
      num_rows: 5009
  })
  test: Dataset({
      features: ['text', 'binary', 'multi'],
      num_rows: 3398
  })
})
```
but the dataset (that our loader script is based on) contains all samples from the GermEval18 dataset:
```python
DatasetDict({
  train: Dataset({
      features: ['text', 'coarse', 'fine'],
      num_rows: 5009
  })
  test: Dataset({
      features: ['text', 'coarse', 'fine'],
      num_rows: 3532
  })
})
```