datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.
arxiv-software-engineering-datasetEngineering_Jobs_Insight_Dataset
Engineering Job Market Analysis Dataset
Link to Data Sourcing Code
The code used for data sourcing is publicly available on GitHub:
GitHub Repository Link
Executive Summary
Motivation and Potential Applications
The rapid advancement of technology has significantly increased the demand for engineering professionals, particularly in computer science and related fields. Understanding current job market trends is crucial for:
Job Seekers: Aligning… See the full description on the dataset page: https://huggingface.co/datasets/yiqing111/Engineering_Jobs_Insight_Dataset.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.csl-electrical-engineering
csl-electrical-engineering"
由CSL數據集分割出來的電機工程(Electrical Engineering)子集，提供簡繁兩種版本。
from datasets import load_dataset
dataset = load_dataset("p208p2002/csl-electrical-engineering","zh-cn")
dataset = load_dataset("p208p2002/csl-electrical-engineering","zh-tw")
automotive_engineeringSynthetic data generated with GPT-3.5
engineeringData comes from Published Texas A&M Engineering News and was used to train a MLM @3epochs 500
This messages was not generated by AI
social-engineering-convoSocial Engineering Conversation modelling
Rational
LLM are few shot learners
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