datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Stereotype-Elicitation-Prompt-LibraryGBEM-UA
Overview
This dataset was created for the paper “GBEM-UA: Gender Bias Evaluation and Mitigation for Ukrainian Large Language Models” to study gender bias in the "hiring problem" within the Ukrainian language, focusing on how grammatical gender (e.g., feminitive vs. non-feminitive forms) may influence model predictions.
Dataset Structure
Each row includes:
sentence: the candidate description
profession: base profession name
experience: "relevant" or "irrelevant"… See the full description on the dataset page: https://huggingface.co/datasets/Stereotypes-in-LLMs/GBEM-UA.