Coding v1
Curatedcoding-v1
Evaluates code generation capability of instruction-tuned chat LLMs on execution-based programming problems.
Benchmarks (1)
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lcb:codegeneration_v6lighteval
Browse benchmark collections from EvalHub, synced at site build time. Curated collections appear first, ordered by their curation priority, followed by non-curated collections.
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Showing 19 of 19 collections
coding-v1
Evaluates code generation capability of instruction-tuned chat LLMs on execution-based programming problems.
lcb:codegeneration_v6 lighteval fairness-bias-v1
Evaluates selected social-bias diagnostics using Winogender pronoun resolution, CrowS-Pairs stereotypical sentence preference, and BBQ disambiguated-context accuracy.
winogender lm_evaluation_harness crows_pairs_english lm_evaluation_harness bbq lm_evaluation_harness instruction-output-v1
Evaluates bare-model instruction and output reliability across explicit instruction following, unconstrained JSON/schema compliance, and compound constraint satisfaction.
ifbench ifbench jsonschema_bench_easy lm_evaluation_harness followbench followbench knowledge-reasoning-v1
Evaluates closed-book, text-only knowledge and reasoning across difficult scientific, academic and mathematical problems using GPQA Diamond, HLE and MATH-500.
gpqa:diamond lighteval · 0-shot inspect/hle inspect math_500 lighteval · 0-shot document-understanding-v1
Evaluates bare-model understanding of supplied long-context documents and passages using RULER and LongBench v2.
common-words-extraction ruler frequency-words-extraction ruler qa-squad ruler qa-hotpotqa ruler niah-single-essay ruler variable-tracking ruler longbenchv2 lm_evaluation_harness · 0-shot multimodal-v1
Evaluates vision-language understanding on scanned-document visual question answering using DocVQA.
inspect/docvqa inspect safety-ethical-principles-v1
Evaluates toxicity classification, commonsense moral judgment, and preferences for helpful, honest, and harmless responses using ToxiGen, ETHICS, and HHH multiple-choice tasks.
toxigen lm_evaluation_harness ethics_cm lm_evaluation_harness bigbench_hhh_alignment_multiple_choice lm_evaluation_harness tool-use-v1
Evaluates single-turn function-calling capability using supplied function schemas, including function selection, argument generation and structural correctness, together with relevance and no-call detection.
inspect/bfcl inspect inspect/bfcl inspect trustworthiness-v1
Evaluates selected trustworthiness dimensions for bare models, including prompt-injection resistance and multiple-choice misconception resistance.
inspect/cyberseceval-2-pi inspect truthfulqa_mc1 lm_evaluation_harness No curated collections match your search.
evaluate-model-accuracy
Evaluates model accuracy using standard industry research benchmarks in inspectai.
inspect_evals/gsm8k inspect · inspect/custom · 0-shot inspect_evals/gsm8k inspect · inspect/custom · 5-shot inspect_evals/mmlu_pro inspect · inspect/custom · 0-shot inspect_evals/mmlu_pro inspect · inspect/custom · 5-shot inspect_evals/mmlu_5_shot inspect · inspect/custom inspect_evals/gpqa_diamond inspect · inspect/custom inspect_evals/humaneval inspect · inspect/custom inspect_evals/mbpp inspect · inspect/custom inspect_evals/ifeval inspect · inspect/custom inspect_evals/bfcl inspect · inspect/custom inspect_evals/niah inspect · inspect/custom · 0-shot instruction-following-v1
Evaluates how well instruction-tuned chat LLMs follow explicit instructions using IFEval's verifiable constraints for length, keywords, formatting, JSON structure, and language.
ifeval lm_evaluation_harness · 0-shot model-validation
Evaluates model safety using context-aware vulnerability scanning with custom intent typology and probes of increasing complexity.
intents garak-kfp leaderboard-v2
Comprehensive evaluation suite for general-purpose language models.
leaderboard_ifeval lm_evaluation_harness leaderboard_bbh lm_evaluation_harness leaderboard_gpqa lm_evaluation_harness leaderboard_mmlu_pro lm_evaluation_harness leaderboard_musr lm_evaluation_harness leaderboard_math_hard lm_evaluation_harness open-telco-v1
GSMA Open-Telco suite for evaluating LLMs on telecom-domain tasks.
telemath inspect teleqna inspect telelogs inspect 3gpp-tsg inspect reasoning-v1
Evaluates multi-step and chain-of-thought reasoning for instruction-tuned chat LLMs across advanced multidomain Q&A, competition mathematics, and expert-level science.
leaderboard_mmlu_pro lm_evaluation_harness · 0-shot math_500 lighteval · 0-shot aime25 lighteval · 0-shot gpqa:diamond lighteval · 0-shot safety-and-fairness-v1
Evaluates model safety, bias, and fairness across diverse scenarios.
truthfulqa_mc1 lm_evaluation_harness · 0-shot toxigen lm_evaluation_harness · 0-shot winogender lm_evaluation_harness · 0-shot crows_pairs_english lm_evaluation_harness · 0-shot bbq lm_evaluation_harness · 0-shot ethics_cm lm_evaluation_harness · 0-shot software-v1
Evaluates non-agentic software capabilities across code generation and code understanding.
lcb:codegeneration_v6 lighteval · 0-shot inspect/bigcodebench inspect cruxeval_output lm_evaluation_harness · 0-shot standard-llm-evals-v1
Standard evaluation protocol for instruction-tuned chat LLMs covering instruction following, reasoning, math, and coding tasks.
leaderboard_mmlu_pro lm_evaluation_harness · 5-shot ifeval lm_evaluation_harness · 0-shot math_500 lighteval · 0-shot aime25 lighteval · 0-shot gpqa:diamond lighteval · 0-shot lcb:codegeneration_v6 lighteval · 0-shot toxicity-and-ethical-principles
End-to-end safety assessment covering three dimensions: toxic content generation targeting individuals or groups, tendency to produce false or misleading information, and alignment with ethical principles of…
toxigen lm_evaluation_harness · 0-shot truthfulqa_mc1 lm_evaluation_harness · 0-shot bigbench_hhh_alignment_multiple_choice lm_evaluation_harness · 0-shot No non-curated collections match your search.