CoolFace
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stereotypes

Stereotypes-in-LLMs /hiring-bias-mitigation-responses Hiring-bias mitigation — model responses Every response produced in the mitigation study of LLM hiring decisions: 54 runs, 2,471,850 responses, from 5 open-weight models in English and Ukrainian, at baseline and under each mitigation family (baseline, embedding, prompt, scrub). Each run is one subset. All released artifacts: the Hiring Bias Mitigation collection. Training data of the fine-tuned runs: hiring-bias-mitigation-synthetic-data. Code, configs, full results and… See the full description on the dataset page: https://huggingface.co/datasets/Stereotypes-in-LLMs/hiring-bias-mitigation-responses.tabulartext-generation1M<n<10M0 likes681 downloads3d agoHugging FaceStereotypes-in-LLMs /hiring-bias-mitigation-synthetic-data Hiring-bias mitigation — synthetic training data Semi-synthetic data for training LLMs to make hiring decisions that do not depend on a protected attribute (military status, gender, religion), in English and Ukrainian. Real inputs, synthetic labels. CVs and job descriptions are real, anonymised postings from the Djinni Recruitment Dataset (MIT). Decisions and rationales were written by the teacher model Qwen/Qwen3.5-122B-A10B-GPTQ-Int4. Code and results:… See the full description on the dataset page: https://huggingface.co/datasets/Stereotypes-in-LLMs/hiring-bias-mitigation-synthetic-data.tabulartext-generation100K<n<1M0 likes230 downloads3d agoHugging FaceStereotypes-in-LLMs /hiring-analyses-second_model_verification-entext10K<n<100K0 likes108 downloads2y agoHugging FaceStereotypes-in-LLMs /toxicchat_output-Ukrtabular1K<n<10K0 likes83 downloads2mo agoHugging FaceStereotypes-in-LLMs /Nemotron-Safety-Guard-Dataset-v3-Ukr Dataset Description This is the localized Ukrainian version of the Nemotron-Safety-Guard-Dataset-v3. This specific repository contains exclusively the English subset of the original dataset, which has been fully translated into Ukrainian using the Lapa (Gemma 3) series of multimodal instructive models. The original dataset was curated using the CultureGuard pipeline, which culturally adapts and translates content from the English Aegis 2.0 safety dataset. This Ukrainian variant… See the full description on the dataset page: https://huggingface.co/datasets/Stereotypes-in-LLMs/Nemotron-Safety-Guard-Dataset-v3-Ukr.texttext-classification10K<n<100K0 likes73 downloads2mo agoHugging FaceStereotypes-in-LLMs /hiring-analyses-recruiter_guidelines-entext10K<n<100K1 likes65 downloads2y agoHugging Face