RAB-Cred is a text classification dataset, where the task is to identify the presence and sentiment of credibility assessments in Danish asylum decision texts. The three classes are:
No credibility assessment: ABSENT
Positive credibility assessment: POSITIVE
Negative credibility assessment: NEGATIVE
The RAB-Cred dataset features high-quality, gold-standard expert annotations and valuable metadata such as annotator confidence and asylum case outcome. Decisions texts were… See the full description on the dataset page:
https://huggingface.co/datasets/XAI-CRED/RAB-Cred.
