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.Audio-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.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_10engineering-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.engineering-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.United_States_State_Legislation_with_SummariesTest Push
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
reverse_engineering_code_dataset_O0_arm_O0rfq-engineering-drawingsreverse_engineering_code_dataset_O2_x64_O2civil-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-publicationsreverse_engineering_code_dataset_O0_mips_O0LLM_Electrical_Engineering_Educational_Synthetic_DialogDataset Card for LLM_Electrical_Engineering_Educational_Synthetic_Dialog
The full CJ Jones' synthetic dataset catalog is available at: https://datadeveloper1.gumroad.com
Want more? 🚀 Get the AI Startup Bundle from Gumroad.
Dataset Description
The LLM_Electrical_Engineering_Educational_Synthetic_Dialog dataset contains AI-generated conversational interactions designed for training large language models in electrical engineering education. This synthetic dialogue corpus simulates tutor-student… See the full description on the dataset page: https://huggingface.co/datasets/CJJones/LLM_Electrical_Engineering_Educational_Synthetic_Dialog.task695_mmmlu_answer_generation_electrical_engineering
Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task695_mmmlu_answer_generation_electrical_engineering
Additional Information
Citation Information
The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:
@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
title={Super-NaturalInstructions: Generalization via Declarative Instructions on… See the full description on the dataset page: https://huggingface.co/datasets/Lots-of-LoRAs/task695_mmmlu_answer_generation_electrical_engineering.complete-2026-ai-engineering-master-suite
👑 Complete 2026 AI Engineering & Research Master Suite (10-in-1 Mega-Bundle)
The definitive all-access research intelligence repository featuring 13,246 domain-verified research papers and 2,500+ official code repositories spanning all 10 core AI domains: Code Generation (SWE-bench), Real-Time Voice Agents (<200ms), Robotics & Embodied AI, Multi-Agent Swarms, Enterprise RAG, Medical AI, Multimodal Vision-Language, AI Security & Red-Teaming, Crypto AI Agents, and LLM… See the full description on the dataset page: https://huggingface.co/datasets/beatsprom/complete-2026-ai-engineering-master-suite.Mechanical-engineering
Dataset Overview
This dataset contains prompt–response pairs generated using OpenAI’s GPT-4o-mini model via the Azure OpenAI API.
The dataset was created for fine-tuning and research on mechanical engineering Q&A.
Model: GPT-4o-mini
License: CC-BY-4.0
Date: November 2025
Notes: All responses are synthetic; no private or proprietary data included.
Software-Engineering-Dataset_70_30_ENrecreated_reverse_engineering_code_dataset_O3_x86_O3reverse_engineering_code_dataset_O1_x64_O1nemotron-terminal-software_engineering
nemotron-terminal-software_engineering
Per-source partition of nvidia/Nemotron-Terminal-Corpus,
filtered to source == "software_engineering". The difficulty column preserves the original
easy / medium / mixed split (na for the dataset_adapters/* files, which
did not carry a difficulty label).
Partitioning scheme:
adapters_{code,math,swe} — rows from dataset_adapters/{code,math,swe}.parquet
{skill} (e.g. debugging, security, …) — rows from
synthetic_tasks/skill_based/{easy,medium… See the full description on the dataset page: https://huggingface.co/datasets/laion/nemotron-terminal-software_engineering.reverse_engineering_code_dataset_O0_x64_O0reverse_engineering_code_dataset_O0_x86_O0ERI-Engineering-Reasoning-and-Instruction
ERI — Engineering Reasoning and Instruction
53,429 instruction–response pairs spanning nine engineering disciplines, seven
question types and three difficulty levels, for instruction-tuning and evaluating
language models on engineering reasoning.
from datasets import load_dataset
eri = load_dataset("mznaser/ERI-Engineering-Reasoning-and-Instruction")
civil = eri.filter(lambda r: r["field"] == "civil_engineering")
Schema
Every record has six fields:
Field… See the full description on the dataset page: https://huggingface.co/datasets/mznaser/ERI-Engineering-Reasoning-and-Instruction.datapoints_round1_dpsk_software_engineering_shard2_daytona_n100k1recreated_reverse_engineering_code_dataset_O0_x86_O0Software_Engineering_interview_datasets