AgentHarm measures how far a tool-using agent will go in carrying out a harmful request. It pairs 110 harmful behaviours with 110 matched benign ones, so over-refusal is measured alongside compliance.
Metric
harm score and refusal rate, with the benign pairs measuring over-refusal
Size
110 harmful and 110 benign behaviours in the source; none imported.
The 30 problems of the 2024 American Invitational Mathematics Examination (AIME I and II). Every answer is an integer from 0 to 999, with no options and no partial credit. It is a frequent reference point for reasoning m…
Full text30 tasks
Size
All 30 problems imported from the default / train selection, with a source-row limit of 200.
The 15 problems of AIME I 2025. As one of the newest competition sets available, it leaves the least room for training-data contamination, and reading it beside the 2024 set makes that effect visible.
Full text15 tasks
Size
All 15 problems imported from the AIME2025-I / test selection, with a source-row limit of 200.
83 AMC 12 problems assembled by Project Numina as a validation set for the AIMO competition. They sit a step below AIME in difficulty, which makes them a useful lower rung on the same scale.
Full text83 tasks
Size
All 83 problems imported from the default / train selection, with a source-row limit of 200.
License
apache-2.0 (declared on the Hugging Face dataset card)
ARC-AGI-2 evaluates the ability to infer unfamiliar rules from a few examples and apply them to new grids. Training and evaluation are separate; this import covers the 120 public evaluation tasks.
Full text120 tasks
Size
120 public evaluation tasks in this catalog selection; training is a separate split.
ARC-AGI-3 is an interactive benchmark for exploring unfamiliar game environments, learning their rules, and planning actions. The official toolkit provides an environment interface, with game versions and trial records t…
ARC-Challenge is the subset of grade-school science questions that both a retrieval baseline and a word co-occurrence baseline answered incorrectly. It tests reasoning with knowledge rather than recall alone.
Full text1,172 tasks
Size
1,172 problems imported from the ARC-Challenge / test selection (the full test split).
License
cc-by-sa-4.0 (declared on the Hugging Face dataset card)
ARC-Easy is the subset of grade-school science questions that a retrieval baseline or a word co-occurrence baseline answered correctly. It is the easier counterpart of ARC-Challenge and serves as the baseline measure of …
Full text2,376 tasks
Size
2,376 problems imported from the ARC-Easy / test selection (the full test split).
License
cc-by-sa-4.0 (declared on the Hugging Face dataset card)
Arena-Hard-Auto selects 500 prompts from 200,000 real LMArena user conversations. Answers are scored automatically with a strong model as judge, which is reported to correlate closely with human preference results.
Size
500 prompts in the source; none imported.
License
apache-2.0 (declared on the Hugging Face dataset card)
AssistantBench collects realistic, time-consuming tasks that can only be answered by working through the live web, written so that each has one determinable answer. It measures whether a web agent is actually useful.
Full text181 tasks
Metric
accuracy and answer rate over the held-out test set, scored by the official submission service
Size
All 181 tasks imported from the default / test selection, with a source-row limit of 200.
License
apache-2.0 (declared on the Hugging Face dataset card)
BIG-Bench Extra Hard evaluates language-model reasoning through challenging task categories. It offers full and mini distributions; this import contains the full distribution: 4,520 questions across all 23 task categorie…
Full text4,513 tasks
Size
Catalog selection: the full distribution, 4,513 unique questions across all 23 task directories; 7 source rows repeat an earlier prompt and are recorded as variants. The mini distribution repeats a subset and is not imported separately.
BIG-Bench Hard is the set of 23 BIG-Bench tasks on which models of the time scored below the average human rater. It is best known for showing how much chain-of-thought prompting changes the result.
Full text6,507 tasks
Size
6,507 unique problems imported from the 27 task files of the official repository (6,511 rows; 4 rows repeat an earlier prompt and are recorded as variants).
The Berkeley Function Calling Leaderboard evaluates tool use. It works up from a single call to parallel calls, multi-turn dialogue, and recognising when no function should be called at all.
Size
Several thousand evaluation cases across the categories; none imported.
License
apache-2.0 (declared on the Hugging Face dataset card)
BigCodeBench poses 1,140 function-level tasks drawn across 139 libraries. It tests whether a model can compose several real APIs correctly rather than write one self-contained function.
Full text1,139 tasks
Metric
Pass@1 (the official runner also reports Pass@5 and Pass@10)
Size
1,139 unique problems imported from the default / v0.1.0_hf selection of 1,140 rows; 1 row repeats an earlier prompt and is recorded as a variant. Later version splits repeat the same task IDs and are not imported separately.
License
apache-2.0 (declared on the Hugging Face dataset card)
BoolQ pairs naturally occurring yes/no questions from search queries with a passage that decides them. The format is simple, but the inference it needs is consistently heavier than it looks.
Full text3,270 tasks
Metric
accuracy over the 3,270 validation questions
Size
3,270 problems imported from the default / validation selection (the full validation split).
License
cc-by-sa-3.0 (declared on the Hugging Face dataset card)
BrowseComp evaluates web browsing and the ability to identify answers from multiple clues. This catalog supports introductions and discussion of search methods without republishing decrypted questions or answers.
BrowseComp-Plus supports evaluation of retrieval methods using BrowseComp tasks and a search corpus. This catalog links to the official distribution without republishing plaintext questions or corpus content.
CodeContests is the competitive-programming dataset built for AlphaCode, drawing problems from Codeforces and similar sites. Each problem ships with both correct and incorrect submissions and a large generated test suite…
Size
Roughly 13,500 problems in the source; none imported.
License
cc-by-4.0 (declared on the Hugging Face dataset card)
CritPt evaluates scientific understanding and multi-step reasoning and computation on research-level physics problems. Its public dataset contains 70 challenges with problem descriptions and code templates.
Full text70 tasks
Metric
accuracy (README: average accuracy over 5 runs × 70 challenges)
Size
70 public challenges; catalog selection expects 70 task records from train, with a source-row limit of 200.
License
apache-2.0 (declared on the Hugging Face dataset card)
CRUXEval takes 800 short Python functions and asks either for the output given an input (CRUXEval-O) or for an input that produces a given output (CRUXEval-I). It measures the ability to execute code mentally rather than…
Full text800 tasks
Metric
pass@1 on output prediction and on input prediction, reported separately
Size
800 problems imported from the default / test selection (the full split).
DROP is a reading-comprehension benchmark whose questions require discrete operations over the paragraph — addition, subtraction, comparison, counting, sorting. It is built so that extracting a span cannot answer them.
Full text9,535 tasks
Metric
exact match and macro-averaged F1 over the answer spans
Size
9,535 problems imported from the default / validation selection (the full validation split).
License
cc-by-sa-4.0 (declared on the Hugging Face dataset card)
DS-1000 builds 1,000 data-science problems from real StackOverflow questions across seven libraries including NumPy, Pandas and Matplotlib. The problems are perturbed so that recalling the original answer does not solve …
Full text1,000 tasks
Metric
accuracy (the source paper reports the best public system at 43.3%)
Size
1,000 problems imported from the default / test selection (the full split).
License
cc-by-sa-4.0 (declared on the Hugging Face dataset card)
FrontierMath evaluates advanced mathematical reasoning using problems written by experts. This catalog links to the official introduction and public examples while excluding private evaluation problems.
FrontierScience evaluates the ability to solve expert-level scientific tasks. Its public data separates olympiad and research problems so that competition and research tasks can be examined independently.
GAIA evaluates general AI assistants on tasks involving information gathering and tool use. Some tasks include attachments; this catalog provides an introduction in view of access and resharing restrictions.
GPQA is a set of graduate-level questions in biology, physics and chemistry written so that non-experts with web access still fail them. The Diamond subset is the most-used slice.
Size
Not imported here; see the official distribution for the current size.
HarmBench is a standardized framework for comparing automated red-teaming attacks and refusal robustness on the same footing. It pits attack methods against defences and measures the success rate against harmful behaviou…
Metric
attack success rate (ASR) per attack and defence pair
Size
510 behaviours in the full benchmark, of which the linked mirror carries 400 textual ones; none imported.
HellaSwag asks which of four continuations naturally follows a sentence or a video caption. The wrong options are produced by adversarial filtering, so items that are nearly trivial for people remain hard for models.
Full text10,042 tasks
Metric
accuracy over the 10,042 validation items
Size
10,042 problems imported from the default / validation selection (the full validation split).
License
mit (declared in the dataset card’s Licensing Information section, which points at the project’s MIT LICENSE)
Humanity's Last Code Exam evaluates problem solving and code generation using ICPC World Finals and IOI problems. The project describes 235 problems; this import selects its public ICPC dataset of 146 problems.
Full text146 tasks
Size
235 problems described in the catalog introduction; this selection expects 146 ICPC problem records from ICPC-World-Finals / examples, with a source-row limit of 200.
Humanity's Last Exam evaluates AI knowledge and reasoning across academic disciplines. It includes text and image questions; this catalog provides an introduction and official links in accordance with the publisher's req…
HumanEval asks for a Python function body from a docstring and signature, checked by hidden unit tests. It is the original functional-correctness benchmark for code generation.
Full text164 tasks
Metric
pass@1 (unbiased estimator over sampled completions)
Size
164 problems imported from the openai_humaneval / test selection, with a source-row limit of 200.
HumanEval+ keeps the 164 original HumanEval problems and multiplies their tests by roughly 80×. It exists because the original suite was loose enough to pass implementations that were actually wrong.
Full text164 tasks
Metric
pass@1 on the expanded tests
Size
All 164 problems imported from the default / test selection, with a source-row limit of 200.
License
apache-2.0 (declared on the Hugging Face dataset card)
IFEval measures whether a model follows verifiable instructions -- word counts, formats, forbidden words -- rather than whether an answer is good. Every constraint is checked programmatically.
Full text541 tasks
Size
541 problems imported from the default / train selection (the full split; the source names its only split train).
JailbreakBench is an open robustness benchmark for jailbreaking attacks, defining 100 harmful behaviours alongside 100 matched benign ones. This catalogue deliberately introduces and links it rather than reproducing any …
Metric
attack success rate, with the benign pairs used to measure over-refusal
Size
100 harmful and 100 benign behaviours in the source; none imported.
LiveCodeBench continuously collects new competitive-programming problems to evaluate coding capabilities. Its initial release_v1 contains 400 problems, with source platform, contest date, and dataset version tracked expl…
Full text100 tasks
Size
400 problems in initial release_v1 described in the catalog introduction; this release_v1 / test selection expects 100 task records, limited to the first 100 source rows.
LongBench v2 evaluates deep understanding and reasoning over long contexts through multiple-choice questions. Its official description lists 503 questions spanning tasks such as single-document and multi-document QA and …
Full text200 tasks
Metric
accuracy over multiple-choice questions (README: 503 multiple-choice questions)
Size
503 questions described in the catalog introduction; this train selection expects 200 task records with a source-row limit of 200.
License
apache-2.0 (declared on the Hugging Face dataset card)
MATH organises 12,500 high-school competition problems into seven subjects and five difficulty levels, each with a full worked solution. It underlies much of the later mathematics evaluation work; this catalogue imports …
Full text5,000 tasks
Metric
accuracy on the final boxed answer
Size
5,000 problems imported from the test split across all seven subjects.
MathVista gathers 6,141 mathematical problems that come with figures, charts or geometric diagrams, of which 1,000 form the public testmini split. It measures whether visual information can be carried into mathematical r…
Metric
accuracy over testmini and the full test set
Size
6,141 problems in the source, 1,000 in testmini; none imported.
License
cc-by-sa-4.0 (declared on the Hugging Face dataset card)
Mostly Basic Python Problems asks for a short Python function from a one-sentence description, checked by assertions. The sanitized split is the hand-verified subset.
Full text1,401 tasks
Metric
pass@1 on the assertion tests
Size
1,401 problems imported: the full config across its four splits (974 records) and the hand-verified sanitized config across its four splits (427 records). The two configs overlap by upstream task_id and are kept as separate variant pages.
MBPP+ takes the 378 problems of the sanitized MBPP set and multiplies their tests by roughly 35 times. It removes the same test-weakness inflation that HumanEval+ addresses.
Full text378 tasks
Metric
pass@1 on the expanded tests
Size
378 problems imported from the default / test selection (the full split).
License
apache-2.0 (declared on the Hugging Face dataset card)
MGSM is a human translation of 250 GSM8K problems into eleven languages, measuring whether reasoning survives the change of language. The gap against English is the multilingual signal.
Full text2,750 tasks
Size
2,750 problems imported from the original TSVs: the same 250 grade-school problems in each of the eleven languages, kept as per-language pages.
License
cc-by-4.0 (declared in the original repository mgsm/LICENSE)
MMLU asks four-way multiple-choice questions across 57 subjects, from elementary material to professional-level examinations. Since 2020 it has been the most widely cited single reference point for general capability.
Full text14,015 tasks
Metric
accuracy (fraction of questions answered correctly, usually reported as a macro average over the 57 subjects)
Size
14,015 unique problems imported from the all / test selection of 14,042 rows; 27 source rows repeat an earlier question exactly and are recorded as variants. The 57 subject configurations overlap this selection and are not imported separately.
MMLU-Pro rebuilds MMLU with ten answer options instead of four and removes items that no longer separate models. Questions span fourteen academic and professional subjects.
Full text12,032 tasks
Size
12,032 problems imported from the default / test selection (the full test split).
MMMU collects 11,500 college-level questions across six disciplines and thirty subjects, each carrying figures, diagrams or images that have to be read as well as reasoned over. MMMU-Pro is its tightened revision.
Size
11,500 questions in the source; none imported.
License
apache-2.0 (declared on the Hugging Face dataset card)
MMMU-Pro evaluates multimodal understanding across academic disciplines using images and text. The official card lists 1,730 questions per setting, separating four-option and ten-option standard settings from the vision …
Full text200 tasks
Metric
accuracy over multiple-choice questions (dataset card)
Size
1,730 questions per setting described in the catalog introduction; this standard (10 options) / test selection expects 200 task records with a source-row limit of 200.
License
apache-2.0 (declared on the Hugging Face dataset card)
MT-Bench is a set of 80 two-turn questions across eight categories, published with the study that established LLM-as-a-judge evaluation. It looks at multi-turn consistency and instruction following.
Metric
average judge score over the eight categories, reported per turn
Size
80 questions in the source; none imported.
License
apache-2.0 (declared on the Hugging Face dataset card)
MuSR poses multistep soft reasoning problems over algorithmically generated narratives. It has three domains — murder mysteries, object placements and team allocation — and this catalogue imports all three domains, 756 p…
Full text756 tasks
Metric
accuracy over the 250 problems in each domain
Size
756 problems imported across the three domain files (murder mysteries, object placements and team allocation).
License
cc-by-4.0 (declared on the Hugging Face dataset card)
OlympiadBench evaluates scientific reasoning on Olympiad-level mathematics and physics problems. Its official description lists 8,476 English and Chinese problems with separate text-only and multimodal settings.
Full text200 tasks
Size
8,476 English and Chinese problems described across settings in the catalog introduction; this OE_TO_maths_en_COMP / train selection expects 200 task records with a source-row limit of 200.
License
apache-2.0 (declared on the Hugging Face dataset card)
Omni-MATH evaluates mathematical reasoning on Olympiad-level problems. Its official dataset contains 4,428 problems accompanied by domain and difficulty information.
Full text4,406 tasks
Size
4,406 unique problems imported from the test selection of 4,428 rows; 22 rows repeat an earlier problem and are recorded as variants.
License
apache-2.0 (declared on the Hugging Face dataset card)