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TeachBench knowledge-structured benchmark

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Evidence · 1 claim (1 mixed) · 1 study (1 causal), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

A benchmark dataset developed by Zheng Li et al. that organizes Gaokao knowledge points into a curriculum tree and provides LLM-tagged, difficulty-graded questions across seven subjects for evaluating educational agents.

Components

Claims

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Key Sources

  • Zheng Li, Siyao Song, Jingyuan Ma, Rui Li, Ying Zeng, Minghao Li, Zhifang Sui. (2026). TeachBench: A Syllabus-Grounded Framework for Evaluating Teaching Ability in Large Language Models. https://arxiv.org/abs/2601.21375
Page metadata
Field Value
type product
id teachbench-knowledge-structured-benchmark
title TeachBench knowledge-structured benchmark
description A benchmark dataset developed by Zheng Li et al.
status review
product_kind dataset
generated by process:settle-candidates on 2026-10-11
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