franciellevargas/MFTCXplain
MFTCXplain is the first multilingual benchmark dataset designed to evaluate the moral reasoning of Large Language Models (LLM) through multi-hop hate speech explanations grounded in Moral Foundations Theory (MFT).
Stars
3
Forks
—
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 15, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/franciellevargas/MFTCXplain"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
eth-sri/matharena
Evaluation of LLMs on latest math competitions
tatsu-lab/alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality,...
HPAI-BSC/TuRTLe
TuRTLe: A Unified Evaluation of LLMs for RTL Generation 🐢 (MLCAD 2025)
nlp-uoregon/mlmm-evaluation
Multilingual Large Language Models Evaluation Benchmark
haesleinhuepf/human-eval-bia
Benchmarking Large Language Models for Bio-Image Analysis Code Generation