datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.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
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.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.nemotron-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.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.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
prompt-engineering-fr
Prompt Engineering FR - Techniques, Evaluation et Gestion du Contexte
Dataset bilingue complet sur le Prompt Engineering, l'evaluation de LLM et la gestion de la fenetre de contexte.
Cree par AYI NEDJIMI Consultants - Expertise en Intelligence Artificielle et Transformation Digitale.
Description
Ce dataset couvre l'ensemble des techniques modernes de prompt engineering, les benchmarks et metriques d'evaluation de LLM, ainsi que les strategies de gestion de la fenetre de… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/prompt-engineering-fr.prompt-engineering-en
Prompt Engineering EN - Techniques, Evaluation & Context Management
Comprehensive bilingual dataset on Prompt Engineering, LLM evaluation, and context window management.
Created by AYI NEDJIMI Consultants - Expertise in Artificial Intelligence and Digital Transformation.
Description
This dataset covers all modern prompt engineering techniques, LLM evaluation benchmarks and metrics, and context window management strategies. It is based on three reference articles:
Prompt… See the full description on the dataset page: https://huggingface.co/datasets/AYI-NEDJIMI/prompt-engineering-en.Circuit-Analysis-Reasoning-Sample
⚡ EngineeringWays Data Lab: Circuit Analysis Reasoning Dataset (Free Sample)
This is a free 50-item sample of the EngineeringWays Circuit Analysis Reasoning Dataset. It is designed specifically for fine-tuning Large Language Models (LLMs) in advanced STEM problem-solving, featuring strict Chain-of-Thought (CoT) reasoning.
Want the complete, deduplicated 592-item master dataset? 👉 Get the LoRA-Ready Master File on Payhip
🚀 Dataset Overview
Most math and physics… See the full description on the dataset page: https://huggingface.co/datasets/EngineeringWays/Circuit-Analysis-Reasoning-Sample.synthgenai-space-engineering-instruct-1k
Description
Topic: Space Mission Engineering
Domains: Missions Operations, Human Spaceflight, Space Environment, Space Propulsion Systems, Qualification and Acceptance, Ground Segment, Planetary Science and Exploration, Structures, Entry, Descent and Landing, Mechanisms, Materials, System Dependability (RAMS), Orbital Mechanics, Launchers, and Launch Operations, Attitude Determination and Control, Payload S/S and Optics, Electrical Power Subsystem, Thermal Control, Onboard Data… See the full description on the dataset page: https://huggingface.co/datasets/patrickfleith/synthgenai-space-engineering-instruct-1k.qwen2.5-3b-civil-engineering-blind-spots
Blind Spots of Qwen2.5-3B on Civil Engineering Domain Knowledge
Model Tested
Qwen/Qwen2.5-3B — a 3-billion parameter base language model released by Alibaba Cloud in September 2024. This is the base (not instruction-tuned) variant, selected because it represents the raw pre-training knowledge without task-specific fine-tuning.
How the Model Was Loaded
The model was loaded in a Google Colab notebook using a free T4 GPU:
from transformers import… See the full description on the dataset page: https://huggingface.co/datasets/HammamAkrami/qwen2.5-3b-civil-engineering-blind-spots.social-engineering-qa-english
Social Engineering Q&A Dataset (English)
Overview
An English question–answer corpus for social engineering and cybersecurity, derived from curated knowledge articles extracted from authoritative reference books.
This release is part of a bilingual research dataset engineering pipeline designed for
supervised fine-tuning (SFT), retrieval-augmented generation (RAG) evaluation, and
domain-specific language model benchmarking in cybersecurity education.
Each record is… See the full description on the dataset page: https://huggingface.co/datasets/smd20/social-engineering-qa-english.social-engineering-qa-persian
Social Engineering Q&A Dataset (Persian / Farsi)
Overview
A Persian (Farsi) question–answer corpus for social engineering and cybersecurity, derived from curated knowledge articles extracted from authoritative reference books.
This release is part of a bilingual research dataset engineering pipeline designed for
supervised fine-tuning (SFT), retrieval-augmented generation (RAG) evaluation, and
domain-specific language model benchmarking in cybersecurity education.… See the full description on the dataset page: https://huggingface.co/datasets/nezamisafa/social-engineering-qa-persian.knowledgebase-electric_engineering_test_dataThis dataset are based on question answering iterations of this dataset:
"STEM-AI-mtl/Electrical-engineering"
Question answering using Deepseek R1 from TogetherAI API checkpoint
Usage:
Reasoning trace data to injecteed as CoT chain in SCIENCE related task.
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
social-engineering-qa-persian
Social Engineering Q&A Dataset (Persian / Farsi)
Overview
A Persian (Farsi) question–answer corpus for social engineering and cybersecurity, derived from curated knowledge articles extracted from authoritative reference books.
This release is part of a bilingual research dataset engineering pipeline designed for
supervised fine-tuning (SFT), retrieval-augmented generation (RAG) evaluation, and
domain-specific language model benchmarking in cybersecurity education.… See the full description on the dataset page: https://huggingface.co/datasets/smd20/social-engineering-qa-persian.social-engineering-qa-english
Social Engineering Q&A Dataset (English)
Overview
An English question–answer corpus for social engineering and cybersecurity, derived from curated knowledge articles extracted from authoritative reference books.
This release is part of a bilingual research dataset engineering pipeline designed for
supervised fine-tuning (SFT), retrieval-augmented generation (RAG) evaluation, and
domain-specific language model benchmarking in cybersecurity education.
Each record is… See the full description on the dataset page: https://huggingface.co/datasets/nezamisafa/social-engineering-qa-english.