AI EVALUATION, IN CONTEXT.BY EQUALITY MACHINE

LLM Stats

BoolQ

BoolQ is a reading comprehension dataset for yes/no questions containing 15,942 naturally occurring examples. Each example consists of a question, passage, and boolean answer, where questions are generated in unprompted and unconstrained settings. The dataset challenges models with complex, non-factoid information requiring entailment-like inference to solve.

Evaluation context and evidence

Source
LLM Stats
Publisher
Not recorded
Benchmark release
Not recorded
Collected
2026-08-17
Modality
text

These are source-reported observations, not independent reruns by this site. Check the task version, evaluation protocol, unit and reporting date before comparing models. Results from different setups are not a universal ranking.

Original sources

Reported results 10

Shown in source observation order, not ranked. Dates retain the precision provided by the source.

ModelValueUnitProtocolReported date and basisSource
Hermes 3 70B0.8804Not recordedNot recorded2024-08-15 · model_announcementLLM Stats
Gemma 2 27B0.848Not recordedNot recorded2024-06-27 · model_announcementLLM Stats
Phi-3.5-MoE-instruct0.846Not recordedNot recorded2024-08-23 · model_announcementLLM Stats
Gemma 2 9B0.842Not recordedNot recorded2024-06-27 · model_announcementLLM Stats
Gemma 3n E4B0.816Not recordedNot recorded2025-06-26 · model_announcementLLM Stats
Gemma 3n E4B Instructed LiteRT Preview0.816Not recordedNot recorded2025-05-20 · model_announcementLLM Stats
Phi 4 Mini0.812Not recordedNot recorded2025-02-01 · model_announcementLLM Stats
Phi-3.5-mini-instruct0.78Not recordedNot recorded2024-08-23 · model_announcementLLM Stats
Gemma 3n E2B0.764Not recordedNot recorded2025-06-26 · model_announcementLLM Stats
Gemma 3n E2B Instructed LiteRT (Preview)0.764Not recordedNot recorded2025-05-20 · model_announcementLLM Stats