What does TruthfulQA test?
TruthfulQA tests whether a model avoids common misconceptions and selects the truthful answer when an incorrect answer may sound more familiar or persuasive.
Upstream publisher TruthfulQACatalog owner Trunchbullsylinrl/TruthfulQA
A multiple-choice benchmark that checks whether AI models choose truthful answers instead of repeating popular misconceptions.
WHAT THIS PROJECT MEASURES
TruthfulQA MC1 focuses on a subtle failure mode: models often reproduce a popular answer because it appears frequently in their training data, even when that answer is false. The benchmark makes the choice explicit so truthfulness can be scored consistently.
This Trunchbull CI release ports the MC1 task with one correct answer and fixed choice order. It keeps the multiple-choice contract separate from TruthfulQA's generative evaluation, whose judge and informativeness methodology require a different release.
IN PLAIN ENGLISH
A model can sound fluent and still be wrong in a very familiar way. TruthfulQA MC1 puts that problem under a bright light: each question offers one truthful answer alongside plausible misconceptions. The Trunchbull CI port keeps the multiple-choice task deterministic and makes the answer contract easy to inspect.
EXECUTION CONTRACT
Runs in the standard chat lane with deterministic exact answer-choice grading. No tools or sandbox are required.
QUICK ANSWERS
TruthfulQA tests whether a model avoids common misconceptions and selects the truthful answer when an incorrect answer may sound more familiar or persuasive.
Trunchbull CI ports the MC1 multiple-choice track, with one correct answer and fixed answer-choice grading. It does not claim parity with the separate generative judge track.
TRUNCHBULL AVAILABILITY
Trunchbull port
Trunchbull packages the MC1 multiple-choice task as a deterministic release and keeps its scope distinct from the upstream generative evaluation track.
View Trunchbull port790 CASES · PREVIEW
truthfulqa-mc/mc1
Choose the truthful answer when familiar misconceptions are included among the options.
0 REQUESTED TOOLS
No model tools required.
Evaluation happens through the prompt and grader contract for this release.
MACHINE-READABLE PROVENANCE
{
"name": "TruthfulQA MC1",
"catalogOwner": "Trunchbull",
"source": {
"url": "https://github.com/sylinrl/TruthfulQA",
"version": "TruthfulQA multiple-choice MC1",
"commit": "upstream TruthfulQA MC1 data release",
"license": "Apache-2.0"
},
"port": {
"url": "https://github.com/TrunchbullCI/examples/tree/main/benchmarks/truthfulqa-mc",
"maintainer": "Trunchbull"
},
"release": {
"digest": "sha256:mc1…ported",
"lane": "chat",
"sandboxRequired": false
},
"cases": [
"truthfulqa-mc/mc1"
],
"tools": []
}BUILD ON THIS PROJECT