This dataset includes the actual NER tags (B-PER, B-LOC, etc.) besides the labels (0, 1, 2, ...) and requires no code execution when loading. Structured as follow
DatasetDict({
train: Dataset({
features: ['id', 'source', 'source_date', 'tokens', 'ner_label', 'ner_tag', 'nested_ner_label', 'nested_ner_tag'],
num_rows: 24002
})
validation: Dataset({
features: ['id', 'source', 'source_date', 'tokens', 'ner_label', 'ner_tag'… See the full description on the dataset page:
https://huggingface.co/datasets/lschoen/germeval14_ner.
