datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
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.VLA_Instruction_TuningThis repository contains the VLA-IT dataset, a curated 650K-sample Vision-Language-Action Instruction Tuning dataset, and the SimplerEnv-Instruct benchmark. These are presented in the paper InstructVLA: Vision-Language-Action Instruction Tuning from Understanding to Manipulation. The dataset is designed to enable robots to integrate multimodal reasoning with precise action generation, preserving the flexible reasoning of large vision-language models while delivering leading manipulation… See the full description on the dataset page: https://huggingface.co/datasets/ShuaiYang03/VLA_Instruction_Tuning.DST_Multiwoz21_instruction_Tuning
Dataset Card for "DST_Multiwoz21_instruction_tuning"
More Information needed
Instruction_TuningFiles Contents Details :
Post-Process Code Info :
data_process.py
iamai_seed_tasks_v1.csv :
IAMAI's seed tasks - Version 1 (879)
Total Dataset Size : 879
===============================================================================================
iamai_v1.csv :
Instruction Tuning Dataset collected using seeds from iamai_seed_tasks_v1.csv and ChatGPT API for both prompts and outputs (~248k)
Total Dataset Size : ~248k
iamai_summarization_v1.csv :
Article Summarization dataset (both… See the full description on the dataset page: https://huggingface.co/datasets/iamplus/Instruction_Tuning.DORI-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.dynamics-of-instruction-tuning
💻 [Github Repo] • 📃 [Paper] • 👀 [Preview]
Update
12/01/23: Corrected ambiguous choices in the validation and test sets of the role-play chat data.
Overview
We introduce DoIT, a collection of over 40k human-curated instruction-output pairs in Chinese. This dataset is organized into ten representative ability categories: (1) STEM subject - Biology, (2) Humanity subject - History, (3) Code Generation, (4) Creative Writing, (5) Language proficiency - Chinese, (6)… See the full description on the dataset page: https://huggingface.co/datasets/ChiyuSONG/dynamics-of-instruction-tuning.TCM-Instruction-Tuning-ShizhenGPT
📚 Introduction
This dataset is a fine-tuning dataset for ShizhenGPT, a multimodal LLM for Traditional Chinese Medicine (TCM). We open-source 245K multimodal Chinese medicine instruction data, including text instructions, visual instructions, and signal instructions for TCM.
For details, see our paper and GitHub repository.
📊 Dataset Overview
The open-sourced fine-tuning dataset consists of three parts:
Modality
Data Quantity
TCM Text Instructions
📝 Text… See the full description on the dataset page: https://huggingface.co/datasets/FreedomIntelligence/TCM-Instruction-Tuning-ShizhenGPT.brain-instruction-tuningInstruction-tuning_DatasetsTrendyol-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.sib200_instructioninvestopedia-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.flores_101_instructioncartoonization
Instruction-prompted cartoonization dataset
This dataset was created from 5000 images randomly sampled from the Imagenette dataset. For more
details on how the dataset was created, check out this directory.
Following figure depicts the data preparation workflow:
Known limitations and biases
The dataset was derived from Imagenette, which, in turn, was derived from ImageNet. So, naturally, this
dataset inherits the limitations and biases of ImageNet.… See the full description on the dataset page: https://huggingface.co/datasets/instruction-tuning-sd/cartoonization.Agricultural_pests_and_diseases_instruction_tuning_datahse-instruction-tuning
SmartQHSE HSE Instruction-Tuning Corpus
Alpaca-style instruction-tuning variant of the SmartQHSE HSE Q&A Corpus.
Each row has the canonical fine-tuning schema:
{
"instruction": "What is OSHA Process Safety Management 1910.119?",
"input": "",
"output": "<authoritative long-form answer with citations>",
"category": "us-osha",
"source_url": "https://www.smartqhse.com/answers/<slug>"
}
Suitable for LoRA / SFT training of HSE-domain LLMs and RAG systems.
Citation (preferred… See the full description on the dataset page: https://huggingface.co/datasets/SmartQHSE/hse-instruction-tuning.low-level-image-proc
Instruction-prompted low-level image processing dataset
To construct this dataset, we took different number of samples from the following datasets for each task and constructed
a single dataset with prompts added like so:
Task
Prompt
Dataset
Number of samples
Deblurring
“deblur the blurry image”
REDS (train_blur and train_sharp)
1200
Deraining
“derain the image”
Rain13k
686
Denoising
“denoise the noisy image”
SIDD
8
Low-light image enhancement
"enhance the… See the full description on the dataset page: https://huggingface.co/datasets/instruction-tuning-sd/low-level-image-proc.symbolic-instruction-tuning
Symbolic Instruction Tuning
This is the offical repo to host the datasets used in the paper From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning. The training code can be found in here.
multilingual_instruction_tuning2026-08-04-table2-instruction-tuning-9284-filtered-8192
Table 2 instruction-tuning mixture — spec-filtered, 8192-safe (9,284 examples)
The paper's Table 2 instruction-tuning mixture, spec-filtered, with the single row that
cannot fit an 8,192-token window removed. No difficult-advice data — this is the
general instruction-tuning half on its own.
field
value
experiment
Table 2 instruction-tuning mixture for the Teaching Claude Why replication, filtered for spec misalignment and trimmed to fit max_seq_len 8192… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-08-04-table2-instruction-tuning-9284-filtered-8192.SciLM-Instruction_Tuning
SciReasoner: Laying the Scientific Reasoning Ground Across Disciplines
This repo contains the instruction-tuning data of SciReasoner.
ChEMBL_Drug_Instruction_Tuning
Dataset Card for ChEMBL Drug Instruction Tuning
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]… See the full description on the dataset page: https://huggingface.co/datasets/alxfgh/ChEMBL_Drug_Instruction_Tuning.v1.1_context_instruction_tuning
Dataset Card for "v1.1_context_instruction_tuning"
More Information needed
multilingual_instruction_tuning_lima_bactrianTCM-Instruction-Tuning-ShizhenGPT
📚 Introduction
This dataset is a fine-tuning dataset for ShizhenGPT, a multimodal LLM for Traditional Chinese Medicine (TCM). We open-source 245K multimodal Chinese medicine instruction data, including text instructions, visual instructions, and signal instructions for TCM.
For details, see our paper and GitHub repository.
📊 Dataset Overview
The open-sourced fine-tuning dataset consists of three parts:
Modality
Data Quantity
TCM Text Instructions
📝 Text… See the full description on the dataset page: https://huggingface.co/datasets/CarsonnnNN/TCM-Instruction-Tuning-ShizhenGPT.Trendyol-Cybersecurity-Instruction-Tuning-Dataset-Converted2026-08-04-table2-instruction-tuning-mixture-spec-filtered
Table 2 instruction-tuning mixture, spec-filtered
A reproduction of the paper's Table 2 instruction-tuning mixture at its exact per-source
sample counts, plus an LLM spec-alignment filter and the per-sample judge verdicts, so
the filter can be re-cut at any threshold without paying to re-judge.
field
value
experiment
Table 2 instruction-tuning mixture for the Teaching Claude Why replication, filtered for spec misalignment
date_generated
2026-08-04
constitution… See the full description on the dataset page: https://huggingface.co/datasets/dougalldeepmind/2026-08-04-table2-instruction-tuning-mixture-spec-filtered.PubChem_Drug_Instruction_Tuninguplimit-instruction-tuning-dataset
Dataset Card for uplimit-instruction-tuning-dataset
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml which can be used to reproduce the pipeline that generated it in distilabel using the distilabel CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/landedmover/uplimit-instruction-tuning-dataset/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config… See the full description on the dataset page: https://huggingface.co/datasets/landedmover/uplimit-instruction-tuning-dataset.PubMedVision_InstructionTuning_VQA_splitted