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Use the following command to load this dataset in TFDS:

ds = tfds.load('huggingface:gnad10')
  • Description:
This dataset is intended to advance topic classification for German texts. A classifier that is efffective in
English may not be effective in German dataset because it has a higher inflection and longer compound words.
The 10kGNAD dataset contains 10273 German news articles from an Austrian online newspaper categorized into
9 categories. Article titles and text are concatenated together and authors are removed to avoid a keyword-like
classification on authors that write frequently about one category. This dataset can be used as a benchmark
for German topic classification.
  • License: No known license
  • Version: 1.1.0
  • Splits:
Split Examples
'test' 1028
'train' 9245
  • Features:
    "text": {
        "dtype": "string",
        "id": null,
        "_type": "Value"
    "label": {
        "num_classes": 9,
        "names": [
        "names_file": null,
        "id": null,
        "_type": "ClassLabel"