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.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.Instruction-tuning_DatasetsAgricultural_pests_and_diseases_instruction_tuning_datasymbolic-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.
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/CarsonnnNN/TCM-Instruction-Tuning-ShizhenGPT.forum-instruction-tuning-dataset
Looksmaxxing Forum Dataset
A curated instruction-tuning dataset derived from a large looksmaxxing and aesthetic self-improvement forum,
containing high-density community knowledge on skincare, nutrition, supplementation, and appearance optimization.
Dataset Summary
This dataset was produced by scraping, parsing, cleaning, and LLM-filtering over 1.28 million raw forum posts
down to 77,417 high-quality instruction-response pairs using a multi-stage pipeline:… See the full description on the dataset page: https://huggingface.co/datasets/bediss/forum-instruction-tuning-dataset.maithili-instruction-tuningmedical_instruction_tuningplanner_instruction_tuning_2kBootstrap 2k Planner finetuning dataset for ReWOO.
It is a mixture of "correct" HotpotQA and TriviaQA task planning trajectories in ReWOO Framework.
Instruction-Tuning-with-GPT-4-RedPajama-Chat
Instruction Tuning with GPT 4 RedPajama-Chat
This dataset has been converted from the Instruction-Tuning-with-GPT-4 dataset for the purpose of fine-tuning the RedPajama-INCITE-Chat-3B-v1 model.
About Instruction-Tuning-with-GPT-4
English Instruction-Following Data generated by GPT-4 using Alpaca prompts for fine-tuning LLMs.
Usage and License Notices
The data is intended and licensed for research use only. The dataset is CC BY NC 4.0 (allowing only… See the full description on the dataset page: https://huggingface.co/datasets/Fredithefish/Instruction-Tuning-with-GPT-4-RedPajama-Chat.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… See the full description on the dataset page: https://huggingface.co/datasets/Soban1234/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.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/ahmadkaab/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.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/andycoco1128/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.Trendyol-Cybersecurity-Instruction-Tuning-Dataset-archive
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… See the full description on the dataset page: https://huggingface.co/datasets/ChipHolmes/Trendyol-Cybersecurity-Instruction-Tuning-Dataset-archive.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/invinciblejha01/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.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/ukcli/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.ua_gec_instruction_tuning
UA-GEC instruction tuning
This dataset contains prompts and expected outputs for the grammatical error
correction task in the Ukrainian language. It is based on the
CC-BY-4.0-licensed UA-GEC dataset. The
license of the original data is CC-BY-4.0.
This dataset contains 1,700 examples of fixing errors in long documents, and
~28,000 sentence-level examples.
The instructions ask to correct errors in the text. Sometimes the model outputs
the corrected text as is. At other times, it… See the full description on the dataset page: https://huggingface.co/datasets/osyvokon/ua_gec_instruction_tuning.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/Madhu348/Trendyol-Cybersecurity-Instruction-Tuning-Dataset.value-for-instruction-tuning
Dataset Overview
This dataset is derived from the existing datasets ETHICS, SOCIAL-CHEM-101, and UNIMORAL, with additional annotations for both normative ethics and moral foundation labels for each scenario. The dataset is wrapped with instruction-tuning template, and can be directly used for instruction tuning. For more information, see the github repo
Trendyol-Cybersecurity-Instruction-Tuning-Dataset-EDIT
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/invinciblejha01/Trendyol-Cybersecurity-Instruction-Tuning-Dataset-EDIT.Turkish-Municipality-Instruction-Tuning-Datasetessay_grading_for_instruction_tuningTrendyol-Cybersecurity-Instruction-Tuning-Dataset-EDIT
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/JEAPI/Trendyol-Cybersecurity-Instruction-Tuning-Dataset-EDIT.mirror-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… See the full description on the dataset page: https://huggingface.co/datasets/alucent/mirror-Trendyol-Cybersecurity-Instruction-Tuning-Dataset.tibetan-mix-instruction-tuning-60K
Tibetan Instruction Tuning Dataset
This dataset provides instruction-response pairs in the Tibetan language specifically designed for instruction fine-tuning of large language models.
Dataset Description
The dataset contains 60,000 instruction-response pairs mix with Chinese and Tibetan, derived from:
Translated alpaca-gpt4 dataset (English instruction-following responses generated by GPT-4)
Chinese-Tibetan translation data
All content has undergone quality filtering to… See the full description on the dataset page: https://huggingface.co/datasets/lightman7/tibetan-mix-instruction-tuning-60K.Traceability_Instruction_Tuning_Data_v1instruction_tuning_data
🚀 Load Dataset
from datasets import load_dataset
dataset = load_dataset("shuyuej/instruction_tuning_data", split='train')
print(dataset)
📚 Dataset Description
Data
Size
Link
ChatDoctor
100K
https://www.yunxiangli.top/ChatDoctor/
MedQA
10.2K
https://huggingface.co/datasets/GBaker/MedQA-USMLE-4-options
MedMCQA
183K
https://huggingface.co/datasets/medmcqa
PubmedQA
211K
https://huggingface.co/datasets/pubmed_qa
LiveQA
635… See the full description on the dataset page: https://huggingface.co/datasets/shuyuej/instruction_tuning_data.Instruction_Tuning_Testinglima_enhance_by_backward_model_for_instruction_fine-tuning