datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
awesome-loop-engineering
Awesome Loop Engineering Dataset
A structured dataset of 1022 papers, official docs, tools, benchmarks, patterns, critiques, and implementation guides for recurring AI-agent systems.
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Dataset Summary
Each row connects an original source to its contribution, novelty, impact, publication details, lifecycle stages, audience, evidence type, link status, and… See the full description on the dataset page: https://huggingface.co/datasets/cy0307/awesome-loop-engineering.engineering-docsAudio-Video-Engineering-Agentic-Tasks-1M
Audio/Video Engineering Agentic Tasks (1M)
Abstract
A highly specialized dataset comprising 1,029,459 in-context troubleshooting prompts and execution commands built for the deepest levels of media production. Unlike standard datasets that simulate clean, theoretical instructions, this matrix captures the chaotic, highly-detailed, and conversational reality of professional audio engineers, composers, and video editors mid-session. It is engineered to train multimodal AI… See the full description on the dataset page: https://huggingface.co/datasets/yatin-superintelligence/Audio-Video-Engineering-Agentic-Tasks-1M.prompt-engineering-papersprompt-engineering-guide-papers\engineering-drawingsPrompt_engineering_Assistant_Alice_jailbreakРабота протестирована на GPT o3/5 и LLAMA 3.1 Instruct, QWen 3 Max
Прототипом для промта послужила Алиса Селезнева. В промте используется 2 слоя абстракции для обхода цензурных ограничений.
Играет роль вымышленного существа.
Имеет моделирование мысленного процесса.
Имеет моделирование функции Reflection Tuning и Retrieval with Feedback Loops.
Имеет моделирование o1-подобного ответа по методологии Chain of Thought.
CineBoard3D-plus
🎬 CineBoard3D++: Dynamic 3D Story World Dataset
📊 Dataset Summary
CineBoard3D++ is a collection of editable, movie-inspired 3D story worlds built with StoryBlender for narrative-grounded camera planning and world visual attention. It brings together story scripts, animated characters, scene geometry, and shot-level configurations in native Blender projects.
The benchmark covers 50 stories, 457 scenes, 1,585 shots, and 3,197 3D assets (836 plot-related and 2,361… See the full description on the dataset page: https://huggingface.co/datasets/EngineeringAI-LAB/CineBoard3D-plus.Software-Engineering-Dataset_90_101-engineering-repair-50-commercial
Industrial Mechanical & Electrical Components Dataset — 50 Authentic Details
📋 Description
Curated collection of 50 high-resolution photographs documenting authentic industrial mechanical and electrical components — from electric motors and solenoid valves to circuit boards, wiring harnesses, ball bearings, gearboxes, caster wheels, and battery packs.
Each image includes comprehensive CSV metadata with 13 classification fields optimized for machine learning… See the full description on the dataset page: https://huggingface.co/datasets/Kos1976/1-engineering-repair-50-commercial.engineering-drawings-as1100
Engineering Drawings AS1100 Compliance Dataset
Dataset Description
This dataset contains engineering drawings with various AS1100 (Australian Standard for Technical Drawing) compliance issues for training AI models to identify missing elements and non-compliance issues in technical drawings.
Dataset Summary
The Engineering Drawings AS1100 Compliance Dataset is designed to train and evaluate vision-language models on identifying compliance issues in technical… See the full description on the dataset page: https://huggingface.co/datasets/jcrzd/engineering-drawings-as1100.answer-engineeringengineering-llm-systems
Engineering LLM-Integrated Systems
Engineering LLM-Integrated Systems is course at Northeastern University that teaches students how to
build software that uses LLMs under the hood from a systems perspective. The course teaches students
how to build interactive software systems that testable, scaleable, and well-designed, despite the
fact that they are working with an essential component -- the LLM -- that can behave in unpredictable ways.
This repository contains the datasets that… See the full description on the dataset page: https://huggingface.co/datasets/nuprl/engineering-llm-systems.3DTalkingDataset
Dataset Card for Dataset Curation of 3DXTalker
Dataset Summary
This dataset is a large-scale, curated collection of talking head videos built for tasks such as high-fidelity 3D talking avatar generation, lip synchronization, and pose dynamics modeling.
The dataset aggregates and standardizes data from six prominent sources (GRID, RAVDESS, MEAD, VoxCeleb2, HDTF, Celebv-HQ), processed through a rigorous data curation pipeline to ensure high quality in terms of face… See the full description on the dataset page: https://huggingface.co/datasets/EngineeringAI-LAB/3DTalkingDataset.United_States_State_Legislation_with_SummariesTest Push
ontolearner-materials_science_and_engineering
Materials Science And Engineering Domain Ontologies
Overview
Materials Science and Engineering is a multidisciplinary domain that focuses on the study and application of materials, emphasizing their structure, properties, processing, and performance in engineering contexts. This field is pivotal for advancing knowledge representation, as it integrates principles from physics, chemistry, and engineering to innovate and optimize materials for diverse technological… See the full description on the dataset page: https://huggingface.co/datasets/SciKnowOrg/ontolearner-materials_science_and_engineering.CineBoard3D
🎬 CineBoard3D: 3D Storyboard Dataset
📊 Dataset Summary
CineBoard3D is a collection of 3D storyboard projects created using StoryBlender, a grounded 3D storyboard generation framework that achieves inter-shot consistency and explicit editability through hierarchical multi-agent planning. Each project contains fully rendered Blender scenes with animation and cinematic visual effects for classic movie stories.
This dataset accompanies the paper "StoryBlender: Inter-Shot… See the full description on the dataset page: https://huggingface.co/datasets/EngineeringAI-LAB/CineBoard3D.cuda-kernel-engineering
CUDA Kernel Engineering — Portfolio
A hands-on CUDA kernel engineering portfolio built on an NVIDIA L4 GPU (GCP).
Covers the complete path from first kernel to research-backed hypotheses that were
empirically falsified, with Nsight Compute profiling evidence at every step.
Each project teaches a specific optimization, measures its impact against cuBLAS,
and documents both positive and negative results.
Hardware: NVIDIA L4 (sm_89, 300 GB/s, 23 GB GDDR6)Stack: CUDA 12.4 (nvcc) /… See the full description on the dataset page: https://huggingface.co/datasets/rtferraz/cuda-kernel-engineering.Electrical-engineering
To the electrical engineering community
This dataset contains Q&A prompts about electrical engineering, Kicad's EDA software features and scripting console Python codes.
Authors
STEM.AI: stem.ai.mtl@gmail.comWilliam Harbec
engineering-drawingsramanv-image-engineeringreverse_engineering_code_dataset_O0_arm_O03-engineering-repair-51-commercial
Industrial Mechanical & Electrical Components Dataset — 51 Authentic Details
📋 Dataset Summary
Curated collection of 51 high-resolution photographs documenting authentic industrial mechanical and electrical components — electric motors and rotors, ball bearings and pulleys, gears and gearboxes, solenoid valves and hydraulic fittings, circuit boards and wiring harnesses, fasteners and tools, timing belts and caster wheels, air filters and brush assemblies.
Each… See the full description on the dataset page: https://huggingface.co/datasets/HerryChenwang111/3-engineering-repair-51-commercial.rfq-engineering-drawingsreverse_engineering_code_dataset_O2_x64_O2PLSemanticsBench
The 43rd International Conference on Machine Learning (ICML 2026), Seoul, South Korea
LLMs Lean on Priors, Not Programming Language
Semantics
by
Aditya Thimmaiah1,
Jiyang Zhang1,
Jayanth Srinivasa2,
Junyi Jessy Li1,
Milos Gligoric1
1The University of Texas at Austin
2Cisco Research
TLDR: Frontier LLMs execute programs with up to 90–100% accuracy when symbols retain their usual… See the full description on the dataset page: https://huggingface.co/datasets/EngineeringSoftware/PLSemanticsBench.civil-engineering-gemma-dataawesome-graph-engineering
Awesome Graph Engineering Resource Atlas
A versioned collection of research, standards, frameworks, protocols, reliability systems, evaluations, and critiques for graph-structured multi-agent systems and programmable AI-agent organizations.
This dataset mirrors Awesome Graph Engineering. The GitHub JSONL file is canonical; the Hub exposes the same records through Dataset Viewer, direct downloads, datasets, and pandas.
Working definition
Graph engineering is the… See the full description on the dataset page: https://huggingface.co/datasets/cy0307/awesome-graph-engineering.datapoints_round1_dpsk_software_engineering_shard1_daytona_n100k1cmu-engineering-publications