datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
OneLLM_InstructionTuning
Data
Data Format
All finetuning data are converted into multi-turn conversation format. The .json file contains a list of training samples, where each sample contains the following keys: id, image and conversations. For example,
{'id': '000000033471', 'image': 'InstructionTuning/image/coco/train2017/000000033471.jpg', 'conversations': [{'from': 'human', 'value': 'What are the colors of the bus in the image?'}, {'from': 'gpt', 'value': 'The bus in the image is white and… See the full description on the dataset page: https://huggingface.co/datasets/csuhan/OneLLM_InstructionTuning.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.instruction_tuning_datasets
🧠 Persian Cultural Alignment Dataset for LLMs
This repository contains a high-quality, instruction-following dataset for cultural alignment of large language models (LLMs) in the Persian language. The dataset is curated using hybrid strategies that incorporate culturally grounded generation, multi-turn dialogues, translation, and augmentation methods, making it suitable for SFT, DPO, RLHF, and alignment evaluation.
📚 Dataset Overview
Domain
Methods Used… See the full description on the dataset page: https://huggingface.co/datasets/MatinaAI/instruction_tuning_datasets.