TRUTHFULQA

NAME = TRUTHFULQA
DATASET_PATH = truthful_qa
SAMPLE_SPLIT = validation
FEWSHOT_SPLIT =
RESPONSE_TYPE = LOGLIKELIHOODS
METRICS = [AccuracyLoglikelihood, AccuracyNormLoglikelihood, ProbabilityMass, ProbabilityMassNorm]
SUBJECTS = ['mc1', 'mc2']
LANGUAGE = <Language.ENG: 'English'>

• Module: eval_framework.tasks.benchmarks.truthfulqa

• File: src/eval_framework/tasks/benchmarks/truthfulqa.py | View on GitHub

• Link to dataset: https://huggingface.co/datasets/truthful_qa

More detailed documentation, with prompt examples and ground truth completions, can be generated with uv run -m eval_framework.utils.generate_task_docs --add-prompt-examples --only-tasks "TRUTHFULQA".