datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
solverport-solver-performance
SolverPort Solver Performance Dataset
Solver benchmark results across 8 solvers and 10 optimization problem families.
Metrics per Run
Runtime (seconds)
Optimality gap (%)
Feasibility status
Time to first feasible solution
Best bound and gap improvement rate
Search speed
PAR10 penalty score
Oracle regret vs best solver
Solvers Profiled
CP-SAT, HiGHS, CBC, SCIP, GLPK, Gurobi, MiniZinc, ALNS
Files
{instance_id}_performance.json — full… See the full description on the dataset page: https://huggingface.co/datasets/alirezaaminzadeh/solverport-solver-performance.frontierco-solver-performance
frontierco-solver-performance
Solver performance benchmark dataset produced by the FrontierCO Solver Arena.
Source
Built on profiles aligned with CO-Bench/FrontierCO.
Contents
Field
Description
instance_id
Unique instance identifier
problem_type
One of 8 CO problems
size
small / medium / large
difficulty
easy / hard
time_budget_sec
10 / 30 / 60 / 300
solver_id
One of 13 solvers
optimality_gap_pct
Gap to known optimum… See the full description on the dataset page: https://huggingface.co/datasets/alirezaaminzadeh/frontierco-solver-performance.korean-embedding-performance-v1-performance-1m
Korean Embedding Performance v1 — 1M
Qwen3-Embedding-8B의 한국어 retrieval data-scale 실험을 위한 정확히
1,000,000-row 연구·비상업 contrastive dataset이다. release_eligible: false, 통합
라이선스 other이며 upstream source 조건을 재허가하지 않는다.
구성
계열
Rows
비율
역할
nlpai-lab/ko-triplet-v1.0
600,254
60.03%
넓은 한국어 QA/retrieval core
F2 Korean QA/instruction
287,000
28.70%
webfaq, mqa, koalpaca, realQA, komagpie
F2 retrieval task train-family
4,146
0.41%
MIRACL, MrTidy, MLDR
F2 PAWS-X… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/korean-embedding-performance-v1-performance-1m.korean-embedding-performance-v1-ablation-200k
Korean Embedding Performance v1 — Ablation 200K
Qwen3-Embedding-8B의 한국어 retrieval continued fine-tuning에서 LoRA/DoRA/부분 및
full fine-tuning, loss, hard-negative 전략을 비교하기 위한 200,000-row 연구·비상업
성능 데이터다. release_eligible: false이며 통합 라이선스는 other다. upstream
source별 조건을 재허가하지 않는다.
구성
계열
Rows
역할
nlpai-lab/ko-triplet-v1.0@1f5d72d
100,254
넓은 한국어 QA/retrieval core
F2 Korean QA/instruction
68,000
webfaq, mqa, koalpaca, realQA, komagpie
F2 retrieval task… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/korean-embedding-performance-v1-ablation-200k.korean-embedding-performance-v1-pilot-50k
Korean Embedding Performance v1 — Pilot 50K
주의: 이 revision은 공개 benchmark 성능 후보 학습에 사용하면 안 된다.
사후 15-task exact text-hash 감사에서 평가 query 고유 hash 4개가 확인됐다.
파이프라인·최적화 진단과 contamination ablation에만 남기며, 교체본은
ablation-200k이다.
Qwen3-Embedding 계열의 한국어 retrieval 성능 실험을 위한 50,000-row 연구용
contrastive dataset이다. 각 row는 instruction-aware query, positive passage 1개,
hard/easy negative passage 1–7개를 ms-swift embedding message schema로 저장한다.
사용 조건과 공개 범위
이 저장소의 통합 라이선스는 other다.… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/korean-embedding-performance-v1-pilot-50k.korean-embedding-performance-v1-sionic-retrieval-train-family-4146
Korean Sionic Retrieval Train-Family 4,146
F2LLM-v2가 공개한 Korean MIRACL, MrTidy, MLDR train-family row만 1M
decontaminated curriculum에서 lossless 추출한 target-adaptation dataset이다. 공개
evaluation query는 포함하지 않으며 current-student HN7 mining 전의 source artifact다.
구성과 목적
source
rows
역할
f2_miracl_ko_train
700
MIRACL Korean retrieval train-family
f2_mrtidy_korean_train
1,200
MrTidy Korean train
f2_mldr_ko_train
2,246
MLDR Korean long-document train-family
합계
4… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/korean-embedding-performance-v1-sionic-retrieval-train-family-4146.korean-embedding-performance-v1-sionic-autorag-100k
Korean Embedding — Sionic AutoRAG domain 100K
AutoRAG의 금융·상거래·법률 domain retrieval을 보강하기 위한 100,000-row
performance dataset이다. F2LLM-v2 collection의 영어 FIQA/Amazon/Banking77과 중국어
e-commerce/legal QA를 query/positive/negative contrastive schema로 묶었다.
사용 조건과 평가 노출
release_eligible: false인 performance/non-commercial 연구용 composite다. 통합
라이선스는 other이며 F2 collection의 Apache-2.0 표기가 개별 upstream 권리를
재허가하지 않는다.
AutoRAG evaluation repository, query, qrel, corpus는 loader 입력으로… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/korean-embedding-performance-v1-sionic-autorag-100k.korean-embedding-performance-v1-sionic-squad-train-60k
Korean Embedding — Sionic SQuAD train-family 60K
KorQuAD v1.0의 원본 train split만 질문→정답 문맥 retrieval 형식으로 변환한
60,000-row target-adaptation 데이터다. Sionic retrieval 9종 중
SQuADKorV1의 train-family 신호를 명시적으로 보강한다.
사용 조건과 점수 공개 방식
release_eligible: false인 performance/non-commercial 실험용 composite다. 이
저장소의 통합 라이선스는 other이며 upstream 권리를 재허가하지 않는다. Hub metadata는
KorQuAD source를 CC-BY-ND-4.0으로 표시하고, upstream dataset card 본문은
CC BY-ND 2.0 KR도 명시한다. 사용자는 원 source 조건을 직접 확인해야 한다.
이… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/korean-embedding-performance-v1-sionic-squad-train-60k.korean-embedding-performance-v1-sionic-health-100k
Korean Embedding — Sionic health multilingual 100K
Qwen3-Embedding 계열의 한국어 PublicHealthQA와 multilingual medical retrieval을
보강하기 위한 100,000-row performance dataset이다. F2LLM-v2 collection의 영어 중심
medical QA/instruction/flashcard와 소량 중국어 WebMedQA를 query/positive/negative
contrastive schema로 묶었다.
사용 조건
release_eligible: false인 performance/non-commercial 연구용 composite다. 통합
라이선스 표기는 other이며 collection card의 Apache-2.0 표기가 각 upstream source의
권리·개인정보·의료 데이터 조건을 재허가하지 않는다.… See the full description on the dataset page: https://huggingface.co/datasets/LLM-OS-Models/korean-embedding-performance-v1-sionic-health-100k.performance-tiers
Performance Tiers
Models grouped by speed:
Ultra Fast (30+ t/s): 1 models
Fast (15-30 t/s): 9 models
Moderate (5-15 t/s): 16 models
Slow (<5 t/s): 5 models
🚀 dispatchAI
metasolver-fjssp-solver-performance
MetaSolver-FJSP Solver Performance
Benchmark results for the 6-solver FJSSP portfolio under 30-second makespan minimization budget.
Metrics
Runtime, makespan @5s, makespan @30s, optimality gap, PAR10, oracle regret, selector accuracy.
External Benchmark
CO-Bench/FrontierCO
License
Apache 2.0
transformersjs-performance-leaderboard-results-devleetcode-performance
Dataset card for Leetcode Performance Dataset
humanoid-performance-optimization-dataset
Humanoid Performance Optimization Dataset
Dataset for improving humanoid efficiency
based on task execution metrics.
Description
Includes execution time, energy usage,
and task success rates for optimization analysis.
File
performance_optimization_dataset.json
License
MIT
han-humanoid-motion-performance-logs-v1
Humanoid Motion Performance Logs (HMPL)
Description
This dataset contains structured logs of humanoid
motion execution cycles in industrial settings.
Each row represents one motion task instance.
Features
motion_id (string)
payload_kg (float)
movement_distance_m (float)
movement_speed_m_s (float)
joint_load_index (float 0-1)
han-humanoid-navigation-performance-v1
Humanoid Navigation Performance Dataset (HNPD)
Description
Navigation performance metrics collected
during humanoid movement operations.
Features
navigation_id
obstacle_density_index
average_speed_m_s
path_length_m
localization_error_m
navigation_efficiency_score (0-1)
Target
navigation_efficiency_score
Use Cases
Navigation optimization
Path planning calibration
Movement efficiency modeling
Evaluation Metrics
MAE
RMSE
R²… See the full description on the dataset page: https://huggingface.co/datasets/ariefansclub/han-humanoid-navigation-performance-v1.han-humanoid-task-execution-performance-v1
Humanoid Task Execution Performance Dataset
Overview
Dataset ini merekam performa humanoid saat menjalankan
berbagai tugas manipulasi dan navigasi ringan.
Cocok untuk:
Task efficiency modeling
Failure prediction
Performance optimization research
Features
task_id (string)
task_complexity_level (1-5)
execution_time_sec (float)
energy_consumption_joule (float)
joint_error_margin_deg (float)
sensor_noise_index (float)
retry_count (int)
Targets… See the full description on the dataset page: https://huggingface.co/datasets/ariefansclub/han-humanoid-task-execution-performance-v1.han-humanoid-task-performance-metrics-v1
Humanoid Task Performance Metrics
Overview
This dataset contains structured performance
records of humanoid robots completing domestic tasks.
It focuses on measurable evaluation parameters
to support benchmarking and optimization research.
Data Fields
task_name
execution_time_seconds
success_rate
error_count
energy_usage_level
Intended Use
Robotics benchmarking
Performance optimization research
Task efficiency evaluation
Humanoid system… See the full description on the dataset page: https://huggingface.co/datasets/ariefansclub/han-humanoid-task-performance-metrics-v1.han-humanoid-workcycle-performance-v1
Humanoid Workcycle Performance Dataset (HWPD)
Description
This dataset contains structured logs from humanoid
robot workcycles in controlled industrial environments.
Each row represents a single completed task cycle.
Features
cycle_id (string)
task_type (categorical)
payload_kg (float)
distance_m (float)
cycle_time_s (float)
average_joint_load (float)
ambient_temp_c (float)
Target
performance_score (float 0-1)
Use Cases
Performance… See the full description on the dataset page: https://huggingface.co/datasets/ariefansclub/han-humanoid-workcycle-performance-v1.kerala-festival-performanceperformance_records_goldproject_performancesuper-shannon-consciousness-performance-v1RaceCrewAI-performance_engineer-AutoDatasetperformance