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Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.

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01PolinAvA /openarm_statictabularn<1K0 likes718 downloads6mo agoHugging Face02msr-spare-1 /qwen3-30b-0718-gpt55-static-balanced-7872-spare-games-envs qwen3-30B-A3B-0718-gpt55-static-balanced-7872-400 — generated environments Environments generated by the SPARE proposer during training run h5wf1kei (qwen3-30B-A3B-0718-gpt55-static-balanced-7872-400), recovered from the spare-viz durable cache. The run's scratch directory no longer exists; this dataset is the surviving copy. Games 194 Steps covered 9 (step 0–115) With recovered skill 0 With hint 0 Actor / proposer model… See the full description on the dataset page: https://huggingface.co/datasets/msr-spare-1/qwen3-30b-0718-gpt55-static-balanced-7872-spare-games-envs.textn<1K0 likes260 downloads2mo agoHugging Face03Tristan /static-rlhf-interface-datatabularn<1K0 likes229 downloads3y agoHugging Face04henry1477 /pcbslm-static-v2-unsloth-vlm PCBSLM static-v2 Unsloth VLM Portable multimodal Unsloth dataset for PCB layout/document-grounded training. The JSONL splits use Unsloth/Gemma-style chat messages: { "messages": [ {"role": "user", "content": [ {"type": "image", "image": "assets/raw_docs/.../images/page.png"}, {"type": "text", "text": "instruction..."} ]}, {"role": "assistant", "content": [ {"type": "text", "text": "{...json answer...}"} ]} ] } Files… See the full description on the dataset page: https://huggingface.co/datasets/henry1477/pcbslm-static-v2-unsloth-vlm.documentimage-text-to-text1K<n<10K0 likes227 downloads6mo agoHugging Face05EverMind-AI /EverMemBench-Static EverMemBench-S: Evaluating Evidence Access under Dense Semantic Interference 💻 Code: EverMind-AI/EverMemBench-Static Overview EverMemBench-S (EMB-S) is an adversarial Needle-in-a-Haystack benchmark built on a 326M-token MemoryBank with 160,280 documents across 8 domains. It evaluates long-context models and retrieval systems under dense semantic interference — where near-miss documents create realistic confusion that standard NIAH benchmarks cannot capture. 1,225… See the full description on the dataset page: https://huggingface.co/datasets/EverMind-AI/EverMemBench-Static.textquestion-answering1K<n<10K0 likes218 downloads7mo agoHugging Face06Ai-robot-001 /aloha_static_bottle_pick_uptabularn<1K0 likes119 downloads2y agoHugging Face07MonsterMMORPG /Agricultural-Product-Static-Friction-Coefficients Agricultural Product Static Friction Coefficient Dataset This local Hugging Face dataset is from the in publishing process manuscript Modeling of Static Friction Coefficient of Agricultural Products on Different Surfaces by Can ERTEKIN; Zeki YETGIN; Furkan GÖZÜKARA, Uğur ERCAN. The dataset contains 2961 tabular records from 16 workbook sheets. Each record describes an agricultural product/sample, the contact surface material, moisture content, physical dimensions, and the measured… See the full description on the dataset page: https://huggingface.co/datasets/MonsterMMORPG/Agricultural-Product-Static-Friction-Coefficients.tabulartabular-regression1K<n<10K0 likes34 downloads5mo agoHugging Face08yahyaabd /corpus-statictabletextn<1K0 likes25 downloads2y agoHugging Face09mikemolt /staticsmechanics Engineering Statics and Mechanics Evaluation Dataset A benchmark dataset for evaluating LLM performance on Engineering Statics and Mechanics of Materials problems. Statics and Mechanics are core units for 1st year undergraduate Engineering students around the world, and are fundamental understanding for many branches of engineering (civil, structural, mechanical, materials, industrial, mechatronic, aeronautical, space, etc). Expert developer - I have taught these two units at… See the full description on the dataset page: https://huggingface.co/datasets/mikemolt/staticsmechanics.textquestion-answeringn<1K0 likes18 downloads8mo agoHugging Face10Shahradmz /education_qna_hinted_statictextn<1K0 likes13 downloads2y agoHugging Face11Dltha-Labs /Opal-v1.0-STATICPlease note that this dataset (which now contains 1.4K+ records) will be expanded in the future, hence v1.0. Opal v1.0 was generated using a self-instruct approach. Each chain of reasoning was verified for logical consistency before being included in the dataset. Seed Data Opal v1.0 started with a series of problems in 6 main categories and 1 category of hard tasks: CAT 1: Algorithms and Data Science CAT 2: Logic, Mathematics, and Probability CAT 3: Advanced Coding and Architecture… See the full description on the dataset page: https://huggingface.co/datasets/Dltha-Labs/Opal-v1.0-STATIC.text1K<n<10K2 likes13 downloads9mo agoHugging Face12formalanon /static-warning-verification Static Warning Verification 55 expert-verified static analysis warnings from ATP Checkers on autoformalized Lean 4 code. textn<1K0 likes9 downloads6mo agoHugging Face13build-small-hackathon /midnight-static-tracestextn<1K0 likes9 downloads4mo agoHugging Face14build-small-hackathon /midnight-static-scriptstextn<1K0 likes7 downloads4mo agoHugging Face15yahyaabd /queries-statictabletext1K<n<10K0 likes4 downloads2y agoHugging Face16alifend910 /gerobak_static.jsontextn<1K0 likes1 downloads10mo agoHugging Face

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