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:

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:

DatasetDict({
  train: Dataset({
      features: ['text', 'coarse', 'fine'],
      num_rows: 5009
  })
  test: Dataset({
      features: ['text', 'coarse', 'fine'],
      num_rows: 3532
  })
})