datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
instruction-datasetThis is the blind eval dataset of high-quality, diverse, human-written instructions with demonstrations. We will be using this for step 3 evaluations in our RLHF pipeline.
Trendyol-Cybersecurity-Instruction-Tuning-Dataset
Trendyol Cybersecurity Defense Instruction-Tuning Dataset (v2.0)
🚀 TL;DR
53,202 meticulously curated system/user/assistant instruction-tuning examples covering 200+ specialized cybersecurity domains. Built by the Trendyol Security Team for training state-of-the-art defensive security AI assistants. Expanded from 21K to 53K rows with comprehensive coverage of modern security challenges including cloud-native threats, AI/ML security, quantum computing risks… See the full description on the dataset page: https://huggingface.co/datasets/Trendyol/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.camel_ai_chemistry_instruction_datasetcybersecurity-instruction-datasetDORI-instruction-tuning-dataset
DORI Spatial Reasoning Instruction Dataset
Dataset Description
This dataset contains instruction tuning data for spatial reasoning tasks across multiple question types and visual datasets.
Dataset Structure
Dataset Splits
train: 26,626 samples
test: 6,672 samples
Total: 33,298 samples
Question Types
q1
q2
q3
q4
q5
q6
q7
Source Datasets
3d_future
cityscapes
coco
coco_space_sea
get_3d
jta
kitti
nocs_real
objectron… See the full description on the dataset page: https://huggingface.co/datasets/appledora/DORI-instruction-tuning-dataset.merged_vietnamese_instruction_datasetindustrial-instruction-dataset
Industrial-Instruction Dataset
Industrial-Instruction provides benchmark and training-ready QA instances derived from industrial technical reports, designed to evaluate robustness under realistic retrieval conditions. Samples are grounded in retrieved evidence and include irrelevant retrieval, single-/multi-document support, and single-/multi-document answer settings.
Paper
Industrial-Instruction: An End-to-End Framework for Building Instruction-Tuning and… See the full description on the dataset page: https://huggingface.co/datasets/Parssky/industrial-instruction-dataset.csharp-instruction-Dataset
🧠 CodeGen C# Dataset
A curated dataset for training and evaluating code generation models in the C# programming language. It combines high-quality open-source code with enterprise-grade internal code examples, carefully selected and preprocessed to support research on structured prompting and high-fidelity code generation.
📦 Dataset Summary
This dataset is designed to support instruction-tuned and general-purpose code generation models, with a particular emphasis on… See the full description on the dataset page: https://huggingface.co/datasets/MehdiFe/csharp-instruction-Dataset.LLaVA-Instruction-665k-Images-Datasetcpt_instruction_datasets
Instruction datasets
Collection of synthetic instruction datasets used during the continued pretraining of Model-small-instr-1, Model-small-instr-2 and Model-small-instr-3. You can currently find these models under: Llama-3.1-Carballo-Instr1 and Llama-3.1-Carballo-Instr3.
Dataset creation
Datasets were created using two different techniques:
Adapting already existing datasets or corpora by modifying their format to make them suitable for including instructions during… See the full description on the dataset page: https://huggingface.co/datasets/proxectonos/cpt_instruction_datasets.Instruction-tuning_Datasetsgit-instruction-dataset
Git Command Dataset
This dataset contains 9008 examples of git commands paired with natural language instructions. Each example includes:
instruction: A natural language description of what git operation to perform
output: The corresponding git command(s) to execute
Usage
from datasets import load_dataset
dataset = load_dataset("{repo_id}")
print(dataset['train'][0])
Dataset Structure
{{
"instruction": "Create a new git repository in the… See the full description on the dataset page: https://huggingface.co/datasets/0xrushi/git-instruction-dataset.pao-instruction-qa-conversation-datasetPa'O Instruction, QA & Conversation Dataset
An open and community-driven dataset for the Pa'O ("blk") language, developed through the RYPAK Ecosystem, SuccessImprove (SI), and Pa'O Digital Hub.
The dataset is designed to support natural language processing (NLP), large language models (LLMs), conversational dialogue, instruction following, language technology research, and digital preservation of the Pa'O language.
The project focuses on building a free, open, reusable, and continuously… See the full description on the dataset page: https://huggingface.co/datasets/paodigitalhub/pao-instruction-qa-conversation-dataset.Trendyol-Cybersecurity-Instruction-Tuning-Dataset
Trendyol Cybersecurity Instruction Tuning Dataset (GPT Format)
A conversational dataset in GPT/OpenAI messages format, converted from Trendyol/Trendyol-Cybersecurity-Instruction-Tuning-Dataset. Designed for training language models in advanced cyber-defense and security principles.
Dataset Description
This dataset contains 53,201 high-quality instruction-tuning examples focused on cybersecurity, converted to the standard GPT conversation format (messages) for… See the full description on the dataset page: https://huggingface.co/datasets/tuandunghcmut/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.bangla-instruction-dataset
🧠 Bangla Instruction Dataset
This dataset repository consolidates high-quality instruction-tuning data from multiple popular sources, structured for easy use in training and evaluating instruction-following models.
📚 Dataset Splits
The dataset is organized into the following splits:
Split Name
Source Dataset
Description
OdiaGenAI
OdiaGenAI/all_combined_bengali_252k
A large-scale collection of diverse Bangla instructions and responses.
chrononeel… See the full description on the dataset page: https://huggingface.co/datasets/kamruzzaman-asif/bangla-instruction-dataset.pandagpt_visual_instruction_dataset[Dataset Details] This dataset is constructed by combining LLaVA Visual Instruct 150K and the dataset released by MiniGPT-4.
[License] Attribution-NonCommercial 4.0 International It should abide by the policy of OpenAI: https://openai.com/policies/terms-of-use
Intended use
Primary intended uses: The primary use of this dataset is research on large multimodal models and chatbots.
Primary intended users: The primary intended users of the model are researchers and hobbyists in… See the full description on the dataset page: https://huggingface.co/datasets/openllmplayground/pandagpt_visual_instruction_dataset.MiniCoder-Instruction-datasetinvestopedia-instruction-tuning-dataset
Dataset Card for investopedia-instruction-tuning dataset
We curate a dataset of substantial size pertaining to finance from Investopedia using a new technique that leverages unstructured scraping data
and LLM to generate structured data that is suitable for fine-tuning embedding models. The dataset generation uses a new method of self-verification that
ensures that the generated question-answer pairs and not hallucinated by the LLM with high probability.
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/FinLang/investopedia-instruction-tuning-dataset.origen_dataset_instruction
OriGen: Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection
Introduction
OriGen is a fine-tuned lora model designed for Verilog code generation. It is trained on top of DeepSeek Coder 7B using datasets generated from code-to-code augmentation and self-reflection. The datasets can be found in the origen_dataset_instruction.
OriGen_Fix is a fine-tuned lora model designed for fixing syntax errors in Verilog code. It is trained based on OriGen… See the full description on the dataset page: https://huggingface.co/datasets/henryen/origen_dataset_instruction.ko-instruction-dataset
고품질 한국어 데이터셋
한국어로 이루어진 고품질 한국어 데이터셋 입니다.
WizardLM-2-8x22B 모델을 사용하여 WizardLM: Empowering Large Language Models to Follow Complex Instructions에서 소개된 방법으로 생성되었습니다.
@article{koinstructiondatasetcard,
title={CarrotAI/ko-instruction-dataset Card},
author={CarrotAI (L, GEUN)},
year={2024},
url = {https://huggingface.co/datasets/CarrotAI/ko-instruction-dataset}
}
full-structured-instruction-sft-dataset
Full Structured + Instruction SFT Corpus
Unified SFT training corpus built from Glaive, Hermes, UltraChat, and synthetic structured-output data.
Dataset repo
mdonigian/full-structured-instruction-sft-datasetRelease date: 2026-03-11
Included files
train_full_sft.jsonl: full merged and shuffled SFT dataset
source_glaive.jsonl: processed Glaive subset
source_hermes.jsonl: processed Hermes subset
source_ultrachat.jsonl: processed UltraChat subset… See the full description on the dataset page: https://huggingface.co/datasets/mdonigian/full-structured-instruction-sft-dataset.KrynexAI-Dataset-Flash-Instruction
🧠 KrynexAI Dataset
English | Русский
📌 Overview
KrynexAI Dataset is a high-quality, synthetically expanded collection of 10,000+ instruction-response pairs designed for fine-tuning Large Language Models (LLMs).
The dataset covers a wide range of topics including:
💻 Programming (Python, algorithms, data structures)
🤖 AI & Machine Learning (neural networks, transformers, LLMs)
🔭 Science (physics, cosmology, biology, neuroscience)
🧠 Philosophy & Psychology… See the full description on the dataset page: https://huggingface.co/datasets/KrynexLabs/KrynexAI-Dataset-Flash-Instruction.Amharic_Instruction_dataset
SFT-Data for Walia-LLM: Enhancing Amharic-LLaMA by Integrating Task-Specific and Generative Datasets
Dataset Summary
The Walia dataset is designed to enhance large language models for the Amharic language by:
Converting existing task-specific datasets (e.g., sentiment analysis, QA, NER) into instruction format.
Creating new generative datasets (e.g., poem generation, religious lyrics, story generation).
Translating English instruction datasets (e.g., Alpaca, Dolly) into… See the full description on the dataset page: https://huggingface.co/datasets/EthioNLP/Amharic_Instruction_dataset.Hinglish_Dataset_instruction_and_rawRL-Instruction-Following-Dataset
RL-Instruction-Following-Dataset 🎯
A Verifiable, Rule-Based Dataset for Reinforcement Learning with Verifiable Rewards (RLVR)
📖 Dataset Card 🚀 Usage ⚖️ License
Overview
This dataset is designed to enhance the Instruction Following capabilities of Large Language Models (LLMs) through Reinforcement Learning (RL). Unlike subjective preference datasets (e.g., standard RLHF), this dataset focuses on Objective, Rule-Based Constraints.
Each entry provides a prompt with… See the full description on the dataset page: https://huggingface.co/datasets/renhuimin/RL-Instruction-Following-Dataset.reduced_vietnamese_instruction_datasetcamel_ai_physics_instruction_datasetTrendyol-Cybersecurity-Instruction-Tuning-Dataset-ConvertedEnglish-Nepali-Translation-Instruction-Dataset
Dataset Card: Instruction-Based English-Nepali Translation Dataset
Dataset Description
This dataset consists of English-Nepali parallel sentences converted into an instruction-based format. Each entry prompts the model to translate a given sentence from English to Nepali or vice versa.
Source Data
Original Dataset: English-Nepali Parallel SentencesPaper: NepBERTa: Nepali Language Model Trained in a Large CorpusAuthors: Milan Gautam, Sulav Timilsina, Binod… See the full description on the dataset page: https://huggingface.co/datasets/ashokpoudel/English-Nepali-Translation-Instruction-Dataset.devops-cloud-instruction-dataset
DevOps & Cloud Infrastructure Dataset
Professional instruction-response pairs for DevOps engineers covering Kubernetes, Docker, Terraform, CI/CD, and cloud services (AWS, Azure).
Dataset Details
Dataset Description
This is a high-quality instruction-tuning dataset focused on Devops Cloud topics. Each entry includes:
A clear instruction/question
Optional input context
A detailed response/solution
Chain-of-thought reasoning process
Curated by: CloudKernel.IO… See the full description on the dataset page: https://huggingface.co/datasets/bernabepuente/devops-cloud-instruction-dataset.