Datasets:
microsoft
/
benchpress-score-matrix

Dataset card Data Studio Files
xet
 Community
1
benchmark_id
stringlengths
3
47
benchmark_name
stringlengths
3
92
category
stringclasses
92 values
metric
stringlengths
1
52
⌀
num_problems
float64
3
590k
⌀
source_url
stringlengths
15
140
⌀
canonical_setting_json
stringlengths
123
1.52k
mrcr_v2
MRCR v2
Long Context
% correct
2,400
https://huggingface.co/datasets/openai/mrcr
{"higher_is_better":true,"judge":"difflib SequenceMatcher string-similarity ratio with required hash prefix","metric_type":"pct","multimodal_input":false,"notes":"Official source is the openai/mrcr HuggingFace dataset. OpenAI MRCR v2 expands Gemini MRCR into an open long-context multiple-needle benchmark with 2, 4, or ...
mrcr_v2_2needle_128k
OpenAI MRCR v2 (2 needle, 128k)
Long Context
%
500
https://huggingface.co/datasets/openai/mrcr
{"higher_is_better":true,"judge":"difflib SequenceMatcher string-similarity ratio with required hash prefix","metric_type":"pct","multimodal_input":false,"notes":"Official source is the openai/mrcr HuggingFace dataset, with results reported in the OpenAI GPT-4.1 blog. This row is the 2-needle 128k slice: one needle set...
mrcr_v2_2needle_1m
OpenAI MRCR v2 (2 needle, 1M)
Long Context
%
null
https://openai.com/index/gpt-4-1/
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per OpenAI GPT-4.1 blog.","range":[0,100],"tools":"none","version":"OpenAI MRCR v2 (2 needle, 1M)"}
mrcr_v2_2needle_256k
OpenAI MRCR v2 (2-needle, 256k)
Long Context
null
null
null
{"judge":"rule-based","notes":"Per OpenAI GPT-5 developer blog https://openai.com/index/introducing-gpt-5-for-developers/"}
mrcr_v2_8needle
OpenAI MRCR v2 (8-needle)
Long Context
%
800
https://huggingface.co/datasets/openai/mrcr
{"higher_is_better":true,"judge":"difflib SequenceMatcher string-similarity ratio with required hash prefix","metric_type":"pct","multimodal_input":false,"notes":"Official source is the openai/mrcr HuggingFace dataset. This row is the 8-needle slice: one needle setting, eight token-length bins from 4k through 1M, and 1...
mt_aime_2024
MT-AIME2024
Math
%
1,650
https://huggingface.co/datasets/amphora/MCLM
{"higher_is_better":true,"judge":"rule-based verifier","metric_type":"pct","multimodal_input":false,"notes":"Official source is the MCLM dataset and Son et al. (arXiv:2502.17407). MT-AIME2024 translates the full AIME 2024 set into 55 languages; the dataset stores 30 rows with 55 language columns, so the canonical evalu...
mt_bench_101
MT-Bench-101
Chat
Score (1-10)
null
https://github.com/InternLM/InternLM
{"higher_is_better":true,"metric_type":"raw","multimodal_input":false,"notes":"Per InternLM3 GitHub README. MT-Bench-101 scored 1-10.","range":[1,10],"tools":"none","version":"MT-Bench-101 (Score 1-10)"}
mtvqa
MTVQA
Vision VQA
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"MTVQA"}
muirbench
MUIRBench
Vision VQA
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"MUIRBench"}
multi_if
Multi-IF
Instruction Following
%
13,503
https://huggingface.co/datasets/facebook/Multi-IF
{"higher_is_better":true,"judge":"script-based verifiable-instruction checks","metric_type":"pct","multimodal_input":false,"notes":"Official sources are the facebook/Multi-IF HuggingFace dataset and He et al. (arXiv:2410.15553). The dataset has 4,501 multilingual conversations across 8 languages, and each conversation ...
multi_swe_bench
Multi-SWE-bench
Coding
%
1,632
https://huggingface.co/datasets/ByteDance-Seed/Multi-SWE-bench
{"higher_is_better":true,"judge":"execution-based patch validation","metric_type":"pct","multimodal_input":false,"notes":"Official sources are the ByteDance-Seed/Multi-SWE-bench HuggingFace dataset and Zan et al. (arXiv:2504.02605). The full benchmark covers Java, TypeScript, JavaScript, Go, Rust, C, and C++ with 1,632...
multichallenge
MultiChallenge
Instruction Following
%
273
https://github.com/ekwinox117/multi-challenge
{"higher_is_better":true,"judge":"automated LLM judge with instance-level rubrics","metric_type":"pct","multimodal_input":false,"notes":"Official sources are the MultiChallenge paper (arXiv:2501.17399) and the released benchmark_questions.jsonl in the project repository. The benchmark contains 273 maximum-10-turn test ...
multichallenge_o3mini_grader
MultiChallenge (o3-mini grader)
Instruction Following
%
273
https://github.com/ekwinox117/multi-challenge
{"higher_is_better":true,"judge":"o3-mini grader / LLM-as-judge with instance-level binary rubrics","metric_type":"pct","multimodal_input":false,"notes":"MultiChallenge has 273 test conversations in the paper and official GitHub data. Each item requires one model response to a multi-turn conversation history, then an L...
multilingual_mmlu
Multilingual MMLU
Multilingual
null
null
https://huggingface.co/microsoft/Phi-4-mini-instruct
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"5-shot MMLU across multiple languages.","range":[0,100],"version":"Multilingual MMLU (5-shot)"}
multipl_e_avg
MultiPL-E (average)
Coding
%
12,667
https://huggingface.co/datasets/nuprl/MultiPL-E
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"MultiPL-E is a multilingual code-generation benchmark translated from HumanEval and MBPP. The HF dataset-server reports 12,667 total test rows across 47 configs (3,811 HumanEval rows and 8,856 MBPP rows). If the score source used only a Huma...
nl2repo_bench
NL2Repo-Bench
Repository Code
%
104
https://arxiv.org/abs/2512.12730
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"NL2Repo-Bench contains 104 repository-generation tasks. Each task gives a natural-language requirements document and empty workspace; generated repositories are evaluated with original upstream pytest suites. Item count is task instances, no...
nl2repo_pass1
NL2Repo (Pass@1)
Repository Code
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"code execution","version":"NL2Repo (Pass@1)"}
ntrex
NTREX
Multilingual
null
null
https://cohere.com/research/papers/command-a-technical-report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Machine translation COMET-20 score.","range":[0,100],"version":"NTREX (COMET-20)"}
ocrbench
OCRBench
Multimodal
null
null
https://huggingface.co/moonshotai/Kimi-K2.5
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"OCR benchmark.","range":[0,100],"version":"OCRBench"}
ocrbench_v2
OCRBench v2
Document/Chart
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"OCRBench v2"}
odvbench
ODVBench
Video
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"ODVBench"}
officeqa
OfficeQA
Office
exact-match accuracy (%)
246
https://www.databricks.com/blog/introducing-officeqa-benchmark-end-to-end-grounded-reasoning
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"OfficeQA productivity benchmark (different from OfficeQA Pro). Per OpenAI GPT-5.4 blog.","range":[0,100],"tools":"agentic","version":"OfficeQA"}
officeqa_pro
OfficeQA Pro
Office
exact-match accuracy (%)
133
https://arxiv.org/abs/2603.08655
{"harness":"OfficeQA Pro official harness","higher_is_better":true,"judge":"OfficeQA Pro exact-match accuracy","metric_type":"pct","multimodal_input":true,"notes":"Every PDF is rendered as images; no machine-readable PDF text is supplied.","range":[0,100],"sampling":"pass@1","tools":"document and rendered-image analysi...
ojbench
OJBench
Coding
%
232
https://arxiv.org/abs/2506.16395
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"OJBench comprises 232 NOI/ICPC programming competition problems. The BenchPress row follows score sources that report OJBench (Pass@1), so the source-backed model-generation count is 232 rather than Pass@8 or dual-language variants.","range"...
omnidocbench
OmniDocBench (normalized edit distance, lower is better)
Vision
edit distance (lower=better)
1,651
https://huggingface.co/datasets/opendatalab/OmniDocBench
{"higher_is_better":false,"metric_type":"normalized_edit_distance","multimodal_input":true,"notes":"Official OmniDocBench v1.6 contains 1,651 PDF pages. Count one model output per page for document parsing; HF parquet row count may differ slightly, but official README/page count is canonical. Stored scores use normaliz...
omnidocbench_1.5
OmniDocBench 1.5
Vision
normalized edit distance (lower=better)
1,355
https://github.com/opendatalab/OmniDocBench
{"higher_is_better":false,"metric_type":"normalized_edit_distance","multimodal_input":true,"notes":"Average normalized edit distance; lower is better. The 1,355-page count is inferred from the official v1.6 update history.","range":[0,1],"tools":"none","version":"OmniDocBench v1.5"}
omnimath
OmniMath
Math
null
null
https://arxiv.org/abs/2410.07985
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Olympiad-level math benchmark.","range":[0,100],"version":"OmniMath"}
osworld
OSWorld
Agentic
% success
369
https://os-world.github.io/
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 matc...
ovbench
OVBench
Video
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"OVBench"}
ovobench
OVO-Bench
Streaming Video
aggregate online-video score (%)
2,814
https://arxiv.org/abs/2501.05510
{"harness":"official","higher_is_better":true,"judge":"task-specific rule/timing evaluation","metric_type":"pct","multimodal_input":true,"notes":"2,814 meta-annotations over 644 videos.","range":[0,100],"sampling":"pass@1","tools":"none","version":"OVO-Bench"}
paperbench
PaperBench
Coding
null
null
https://arxiv.org/abs/2507.20534
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Code dev from papers.","range":[0,100],"version":"PaperBench Code-Dev"}
phibench
PhiBench (Microsoft Internal)
General
null
null
https://arxiv.org/abs/2412.08905
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Microsoft Phi team internal eval.","range":[0,100],"version":"PhiBench 2.21 (Microsoft internal)"}
phybench
Phybench
Physics
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"Phybench"}
phyx_openended
PhyX (open-ended)
Vision STEM
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"PhyX (open-ended)"}
point_bench
Point-Bench
Vision Counting
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"Point-Bench"}
popqa
PopQA
QA
null
14,267
https://huggingface.co/datasets/akariasai/PopQA
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Official PopQA HuggingFace dataset contains 14,267 test rows. Count one factual QA generation per row; do not use rounded 14k marketing count.","range":[0,100],"tools":"none","version":"PopQA test set"}
procbench
ProcBench
Reasoning
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"ProcBench"}
realworldqa
RealWorldQA
Vision Perception
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"RealWorldQA"}
refspatialbench
RefSpatialBench
Vision Spatial
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"RefSpatialBench"}
repoqa
RepoQA
Coding
null
500
https://arxiv.org/abs/2406.06025
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"RepoQA contains 500 code-search tasks from 50 repositories across 5 languages. Count task instances rather than repositories or candidate functions.","range":[0,100],"tools":"none","version":"RepoQA SNF, 32K context, threshold 0.8"}
researchrubrics
ResearchRubrics
Deep Research
weighted rubric compliance score (%)
101
https://huggingface.co/datasets/ScaleAI/researchrubrics/tree/85de3115053d1453ed612caacf4a405edc1ad756
{"harness":"official ResearchRubrics evaluation pipeline","higher_is_better":true,"judge":"binary rubric satisfaction with positive-weight average","metric_type":"pct","multimodal_input":false,"notes":"The pinned processed_data.jsonl contains 101 research tasks. Each report is scored against weighted binary rubrics.","...
ruler_128k
RULER 128K
Long Context
accuracy (%)
6,500
https://github.com/NVIDIA/RULER
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"13 tasks times 500 generated examples.","range":[0,100],"tools":"none","version":"RULER v1 13-task suite at 128K"}
ruler_32k
RULER 32K
Long Context
accuracy (%)
6,500
https://github.com/NVIDIA/RULER
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"13 tasks times 500 generated examples.","range":[0,100],"tools":"none","version":"RULER v1 13-task suite at 32K"}
safety
Safety (OLMES suite)
Safety
null
null
https://arxiv.org/abs/2501.00656
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Allen AI internal safety eval suite.","range":[0,100],"version":"OLMES safety suite"}
scicode
SciCode
Coding
% correct
338
https://scicode-bench.github.io/
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"SciCode contains 338 executable scientific-code subproblems. Count subproblems because each requires a code solution evaluated by tests.","range":[0,100],"tools":"code execution","version":"SciCode full subproblem benchmark"}
screenspot_pro
ScreenSpot-Pro
Multimodal
null
1,581
https://github.com/likaixin2000/ScreenSpot-Pro-GUI-Grounding
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"ScreenSpot-Pro contains 1,581 GUI grounding targets: 604 icon targets and 977 text targets. Count one model grounding response per target.","range":[0,100],"tools":"none","version":"ScreenSpot-Pro full benchmark"}
seal_0
Seal-0
Search Agent
%
null
https://huggingface.co/moonshotai/Kimi-K2.5
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Kimi K2.5 model card.","range":[0,100],"tools":"agentic","version":"Seal-0"}
sfe
SFE
Vision STEM
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"SFE"}
simplebench
SimpleBench
Reasoning
% correct
1,000
https://simple-bench.com/
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.","range":[0,100],"tools":"none","version":"SimpleBench (1000)"}
simpleqa
SimpleQA
Knowledge
% correct
4,326
https://openai.com/index/introducing-simpleqa/
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.","range":[0,100],"tools":"none","version":"SimpleQA (OpenAI 4326 questions)"}
simpleqa_verified
SimpleQA-Verified
Knowledge
% correct (pass@1)
null
https://huggingface.co/deepseek-ai/DeepSeek-V4-Pro
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.","range":[0,100],"tools":"none","version":"SimpleQA-Verified"}
simplevqa
SimpleVQA
Vision
accuracy (%)
2,025
https://huggingface.co/datasets/m-a-p/SimpleVQA/tree/037cf89fb6f1212691756b66d1ecde6c2ce89e54
{"harness":"official SimpleVQA","higher_is_better":true,"judge":"LLM-as-judge","metric_type":"pct","multimodal_input":true,"notes":"The pinned official simpleVQA_final_modified.json contains 2,025 items. Tool-assisted observations remain score-level non-default settings.","range":[0,100],"sampling":"pass@1","tools":"no...
smt_2025
SMT 2025
Math
% correct (pass@1)
53
https://huggingface.co/datasets/MathArena/smt_2025
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.","range":[0,100],"sampling":"samples=4","tools":"none","version":"SMT 2025"}
spreadsheetbench_verified
SpreadsheetBench Verified
Coding
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"code execution","version":"SpreadsheetBench Verified"}
superchem
Superchem (text-only)
Chemistry
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"Superchem (text-only)"}
supergpqa
SuperGPQA
Science
%
26,529
https://huggingface.co/datasets/m-a-p/SuperGPQA
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Official SuperGPQA dataset has 26,529 rows/questions spanning science disciplines. Count one answer per row.","range":[0,100],"tools":"none","version":"SuperGPQA full benchmark"}
swe_bench_multilingual
SWE-bench Multilingual
Coding
% resolved (pass@1)
300
https://huggingface.co/datasets/SWE-bench/SWE-bench_Multilingual/tree/846e647b9f33c0b51b739d005d13d85493c9af09
{"harness":"source-reported fixed coding scaffold","higher_is_better":true,"judge":"language-appropriate isolated test suites","metric_type":"pct","multimodal_input":false,"notes":"The pinned official dataset contains 300 issues across nine languages. The StepFun label SWE-MTLG is mapped to this released identity; scaf...
swe_bench_multimodal
SWE-bench Multimodal
Coding
% resolved
null
https://www.swebench.com/
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"tools=agentic. No single standard public scaffold exists for SWE-bench Multimodal; harness choice is model-side (recorded in cell.reported_setting.harness). Any lab-published harness counts as canonical.","range":[0,100],"tools":"agentic","ve...
swe_bench_pro
SWE-bench Pro
Coding
% resolved (pass@1)
731
https://huggingface.co/datasets/ScaleAI/SWE-bench_Pro/tree/7ab5114912baf22bb098818e604c02fe7ad2c11f
{"harness":"source-reported fixed coding scaffold","higher_is_better":true,"judge":"isolated repository test suites","metric_type":"pct","multimodal_input":false,"notes":"The pinned official public release contains 731 instances. Scaffold and effort remain score-level settings.","range":[0,100],"sampling":"pass@1","too...
swe_bench_verified
SWE-bench Verified
Coding
% resolved (pass@1)
500
https://huggingface.co/datasets/SWE-bench/SWE-bench_Verified/tree/78f471bf655a3137b2e8a75af1501690ec009ec3
{"harness":"source-reported fixed coding scaffold","higher_is_better":true,"judge":"isolated repository test suites","metric_type":"pct","multimodal_input":false,"notes":"The pinned official Verified release contains 500 instances. Scaffold, effort, Advisor mode, and internal reproductions remain score-level settings."...
swe_evo
SWE-Evo
Agentic Coding
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"code execution","version":"SWE-Evo"}
swelancer
SWE-Lancer IC Diamond
Coding
%
198
https://github.com/openai/frontier-evals/tree/main/project/swelancer
{"higher_is_better":true,"judge":"end-to-end tests","metric_type":"pct","multimodal_input":false,"notes":"Current official SWE-Lancer release contains 198 verified-offline IC SWE Diamond tasks; original paper reported 237 IC SWE Diamond tasks and the current README says 39 were dropped. Excludes SWE Manager Diamond.","...
swelancer_freelance_dollars
SWE-Lancer IC SWE Diamond Freelance ($)
Coding
dollars
198
https://github.com/openai/frontier-evals/tree/main/project/swelancer
{"higher_is_better":true,"judge":"end-to-end tests","metric_type":"dollars","multimodal_input":false,"notes":"Current official SWE-Lancer release contains 198 verified-offline IC SWE Diamond tasks; original paper reported 237 IC SWE Diamond tasks and the current README says 39 were dropped. Excludes SWE Manager Diamond...
tau1_bench_avg
τ-bench (Yao 2024, averaged)
Tool use
null
null
https://cohere.com/research/papers/command-a-technical-report.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"\u03c4-bench (Yao 2024) averaged. Distinct from per-domain cells (tau_bench_retail/airline/telecom).","range":[0,100],"version":"\u03c4-bench averaged across retail+airline domains"}
tau2_bench_airline
τ²-bench Airline
Agentic
% success
50
https://arxiv.org/abs/2506.07982
{"higher_is_better":true,"judge":"state-based task success","metric_type":"pct","multimodal_input":false,"notes":"Paper Table 1 and current official split file both give 50 Airline tasks (30 train + 20 test). Dual-control text setting: LLM-controlled agent and simulated user; not comparable to original tau-bench.","ran...
tau2_bench_avg
τ²-Bench (avg of retail/airline/telecom)
Tool Use
macro task success (%)
279
https://arxiv.org/abs/2506.07982
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Unweighted macro average over the three domain success rates; 50 + 115 + 114 underlying tasks.","range":[0,100],"tools":"agentic","version":"Tau2-bench macro average of airline, retail and telecom"}
tau2_bench_retail
τ²-bench Retail
Agentic
% success
115
https://arxiv.org/abs/2506.07982
{"higher_is_better":true,"judge":"state-based task success","metric_type":"pct","multimodal_input":false,"notes":"Paper Table 1 reports 115 Retail tasks. Current official repo base split has 114 after later task-fix releases; keep paper count for the tau2-bench 2025 row unless the row is redefined to current-release ta...
tau2_bench_telecom
τ²-bench Telecom
Agentic
% success
114
https://arxiv.org/abs/2506.07982
{"higher_is_better":true,"judge":"state-based task success","metric_type":"pct","multimodal_input":false,"notes":"Paper Table 1 and current official split file give 114 Telecom base tasks; the full generated Telecom pool has 2285 tasks and is excluded.","range":[0,100],"sampling":"pass^1 / one trial per task","tools":"...
tau3_bench
τ³-Bench
Tool Use
%
1,500
https://z.ai/blog/glm-5.1
{"higher_is_better":true,"judge":"state-based task success","metric_type":"pct","multimodal_input":false,"notes":"Z.ai footnote says tau3-bench uses all domains with an extra user-simulator prompt, banking terminal_use retrieval, GPT-5.2-low user simulator, and 4 trials. Count = (airline 50 + retail 114 + telecom 114 +...
tau_bench_airline
tau-bench Airline
Agentic
% success
50
https://arxiv.org/abs/2406.12045
{"higher_is_better":true,"judge":"state-based task success","metric_type":"pct","multimodal_input":false,"notes":"Original tau-bench Airline has 50 user-agent interaction tasks. Count task conversations; multi-turn/tool burden is represented by agentic cost factors rather than multiplying by every action step.","range"...
tau_bench_retail
Tau-Bench Retail
Agentic
% success
115
https://arxiv.org/abs/2406.12045
{"higher_is_better":true,"judge":"state-based task success","metric_type":"pct","multimodal_input":false,"notes":"Original tau-bench Retail has 115 user-agent interaction tasks. Count task conversations; multi-turn/tool burden is represented by agentic cost factors rather than multiplying by every action step.","range"...
tau_bench_telecom
Tau-Bench Telecom
Agentic
% success
null
https://arxiv.org/abs/2406.12045
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 mat...
tempcompass
TempCompass
Video
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"TempCompass"}
terminal_bench
Terminal-Bench 2.0
Agentic
% tasks solved
445
https://arxiv.org/html/2601.11868v1
{"harness":"source-reported terminal scaffold","higher_is_better":true,"judge":"programmatic end-to-end task tests","logical_tasks":89,"metric_type":"pct","multimodal_input":false,"notes":"The immutable arXiv v1 paper defines 89 logical Terminal-Bench 2.0 tasks and evaluates every supported model-agent combination at l...
terminal_bench_1
Terminal-Bench 1.0
Agentic
% solved
null
https://terminal-bench.com/
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"tools=agentic (scaffold-defined). Preferred = official harness tools (bash/editor for SWE-bench, browser for OSWorld/BrowseComp, official APIs for tau-bench/MCPAtlas/Toolathlon, terminal for Terminal-Bench). Non-official scaffolds \u2192 mat...
terminal_bench_hard
Terminal-Bench Hard
Coding
%
null
https://z.ai/blog/glm-4.7
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per GLM-4.7 blog.","range":[0,100],"tools":"agentic","version":"Terminal-Bench Hard"}
tob_complex_workflows
ToB-ComplexWorkflows
Real-world
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"ToB-ComplexWorkflows"}
tob_compositional_tasks
ToB-CompositionalTasks
Real-world
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"ToB-CompositionalTasks"}
tob_information_extraction
ToB-InformationExtraction
Real-world
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"ToB-InformationExtraction"}
tob_k12_education
ToB-K12Education
Real-world
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"ToB-K12Education"}
tob_referenceqa
ToB-ReferenceQ&A
Real-world
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"ToB-ReferenceQ&A"}
tob_text_classification
ToB-TextClassification
Real-world
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"ToB-TextClassification"}
tomato
TOMATO
Video
multiple-choice temporal-reasoning accuracy (%)
1,484
https://arxiv.org/abs/2410.23266
{"harness":"official","higher_is_better":true,"judge":"exact multiple-choice grader","metric_type":"pct","multimodal_input":true,"notes":"1,484 questions over 1,417 videos.","range":[0,100],"sampling":"pass@1","tools":"none","version":"TOMATO"}
toolathlon
Toolathlon (Original)
Agentic
% correct (pass@1)
108
https://toolathlon.xyz/
{"higher_is_better":true,"judge":"dedicated deterministic state evaluators","metric_type":"pct","multimodal_input":false,"notes":"Original 108-task benchmark across 32 applications and 604 tools. Distinct from Toolathlon-Verified introduced on 2026-06-30 with revised tasks/evaluators.","range":[0,100],"tools":"agentic ...
treebench
TreeBench
Vision Spatial
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"TreeBench"}
truthfulqa
TruthfulQA
Factuality
null
817
https://github.com/sylinrl/TruthfulQA
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"TruthfulQA contains 817 questions designed to test imitative falsehoods. Count one text generation per question.","range":[0,100],"tools":"none","version":"TruthfulQA generation benchmark"}
tvbench
TVBench
Video
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"TVBench"}
usamo_2025
USAMO 2025
Math
% of 42 points
6
https://huggingface.co/datasets/MathArena/usamo_2025
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.","range":[0,100],"tools":"none","version":"USAMO 2025"}
usamo_2026
USAMO 2026
Math
% of 42 points
6
https://matharena.ai/usamo/
{"higher_is_better":true,"metric_type":"pct","multimodal_input":false,"notes":"tools=none preferred (pure-reasoning eval). If only with-tool scores (python/web/RAG) are available, accept and mark cell matches_canonical=false.","range":[0,100],"tools":"none","version":"USAMO 2026"}
vending_bench_2
Vending-Bench 2
Agentic
null
15,000
https://andonlabs.com/evals/vending-bench-2
{"higher_is_better":true,"judge":"year-end bank account balance","metric_type":"dollars","multimodal_input":false,"notes":"Official Vending-Bench 2 reports leaderboard scores as the average across 5 full-year simulation runs. The page states that running a model for a full year results in 3,000-6,000 messages total, so...
vibe_eval
Vibe-Eval
Multimodal
null
269
https://github.com/reka-ai/reka-vibe-eval
{"higher_is_better":true,"judge":"Reka Core evaluator scores each response on a 1-5 scale","metric_type":"pct","multimodal_input":true,"notes":"Official paper and HF dataset report 269 visual-understanding prompts, including 100 hard prompts. Count model generations as one response per example_id; evaluator calls are s...
video_mme
Video-MME
Multimodal
% multiple-choice accuracy
2,700
https://raw.githubusercontent.com/MME-Benchmarks/Video-MME/06c2315b892f88578f81d73205d07cf576f292b9/README.md
{"higher_is_better":true,"judge":"answer-key multiple-choice accuracy","metric":"multiple-choice QA accuracy","metric_type":"pct","multimodal_input":true,"notes":"Official immutable repository defines 900 videos and 2,700 human-annotated question-answer pairs.","range":[0,100],"sampling":"one response per question","to...
video_mmmu
Video-MMMU
Video/Multimodal
%
900
https://videommmu.github.io/
{"higher_is_better":true,"metric":"accuracy over human-annotated video QA questions","metric_type":"pct","multimodal_input":true,"notes":"Official paper/project report 300 expert-level videos and 900 human-annotated questions across Perception, Comprehension, and Adaptation. Count one model generation per question for ...
videoeval_pro
VideoEval-Pro
Video
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"VideoEval-Pro"}
videoholmes
VideoHolmes
Video
% multiple-choice accuracy
1,837
https://raw.githubusercontent.com/TencentARC/Video-Holmes/52ef8da286ccad03036a65e7b67c160bc3a24fb9/README.md
{"higher_is_better":true,"judge":"answer-key multiple-choice accuracy","metric_type":"pct","multimodal_input":true,"notes":"Official immutable repository defines 1,837 questions from 270 suspense short films across seven tasks.","range":[0,100],"sampling":"one response per question","tools":"none","version":"Video-Holm...
videoreasonbench
VideoReasonBench
Video
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"VideoReasonBench"}
videosimpleqa
VideoSimpleQA
Video
source-reported score (%)
1,504
https://huggingface.co/datasets/VideoSimpleQA/VideoSimpleQA
{"harness":"official","higher_is_better":true,"judge":"official configurable LLM grader","metric_type":"pct","multimodal_input":true,"notes":"1,504 QA pairs over 1,079 videos. The Seed source does not identify whether the displayed score is the official accuracy or F1 view.","range":[0,100],"sampling":"pass@1","tools":...
visfactor
VisFactor
Vision Perception
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"VisFactor"}
vispeak
ViSpeak
Video
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"ViSpeak"}
visulogic
VisuLogic
Vision Puzzles
%
null
https://lf3-static.bytednsdoc.com/obj/eden-cn/lapzild-tss/ljhwZthlaukjlkulzlp/seed2/0214/Seed2.0%20Model%20Card.pdf
{"higher_is_better":true,"metric_type":"pct","multimodal_input":true,"notes":"Per Doubao Seed 2.0 Pro model card.","range":[0,100],"tools":"none","version":"VisuLogic"}