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 1025 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.United_States_State_Legislation_with_SummariesTest Push
datapoints_round1_dpsk_software_engineering_shard1_daytona_n100k1CineBoard3D-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.PLSemanticsBench
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.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
datapoints_round1_dpsk_software_engineering_shard2_daytona_n100k1reverse_engineering_code_dataset_O1_x86_O1engineering-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.rfq-engineering-drawingsawesome-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.LLM_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.civil-engineering-gemma-dataarxiv-software-engineering-datasetEngineering_1206nemotron-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.software-engineering-interview-practices-2005-2026
Replication Package: Yesterday's Interviews for Today's Engineers
This repository contains the de-identified analytical data and the Python
reproduction script for:
Vitalii Romaniuk. "Yesterday's Interviews for Today's Engineers:
Retrospective Perceptions and a Work-Aligned Hiring Framework (2005–2026)."
arXiv:2609.14046, 2026.
Paper: https://arxiv.org/abs/2609.14046
Contents
data/survey_responses_deidentified.csv contains the 911 retained survey
records used… See the full description on the dataset page: https://huggingface.co/datasets/Kidomakai/software-engineering-interview-practices-2005-2026.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.llm-engineering-journey-datamedium_5000-software_engineering_n100k1complete-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.engineering_drawingsengineering_design_factsDataset Copyright - L. Siddharth, Singapore University of Technology and Design, Singapore.
The dataset includes 375,084 example sentences (187200 positive, 187884 negative), each including a pair of entities and the engineering design relation between these.
The dataset was manually constructed using sentences in 4,205 patents granted by USPTO, stratified according to 130 classes.
The dataset is used to train token classification and Seq2Seq transformer models to populate explicit engineering… See the full description on the dataset page: https://huggingface.co/datasets/siddharthl1293/engineering_design_facts.ERI-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.data-engineering-sft-100k
Data Engineering SFT 100K
A synthetic supervised fine-tuning dataset of 100,000 high-quality conversations covering modern data engineering practices — Apache Spark, dbt, Airflow, Kafka, Delta Lake, BigQuery, and Snowflake. Designed to train AI assistants that can help data engineers build, optimize, and debug production data pipelines.
Dataset Description
This dataset covers the full spectrum of data engineering across 7 specialized categories. Each record… See the full description on the dataset page: https://huggingface.co/datasets/stindardlogic/data-engineering-sft-100k.medium_20000-software_engineering_n100k1APED-African-Protein-Engineering-Dataset
APED African Protein Engineering Dataset | Africa (Electric Sheep Africa metadata inventory)
Size category: n<1K - Formats: parquet - Sector: technology_digital - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Public… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/APED-African-Protein-Engineering-Dataset.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.indonesian-wikipedia-20250120-civil-engineering