GPT
Datasets
All datasets matching “GPT”gpt-image-2-prompts-datasets
🖼️ GPT Image 2 Prompt Dataset
🖼️ The ultimate GPT Image 2 prompt dataset (5GB+). 15,000+ image generation prompts with full metadata and preview images. Truly open source: No login, no ads, no redirection. Just pure data for AI image creators.
This project is a massive collection of prompts used for OpenAI's GPT Image 2 model and the resulting generated images. The entire dataset exceeds 5GB and contains 15,000+ images, all structured into a comprehensive dataset.
Due to… See the full description on the dataset page: https://huggingface.co/datasets/Goku-OpenLab/gpt-image-2-prompts-datasets.GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset
📖 The Open Distillation Codex
🌌 The Ultimate Open-Source Distillation Dataset — No Skip, Full, with Attack & Defense 🌌
Where 73 open-source minds converge into one unified stream of intelligence
18M+ Distilled Signals · 7,090 Raw GitHub Repositories · 8 Curated Categories · ~76 GB+
"We did not write this dataset. We assembled it.
Every line is an echo — of a model thinking, a coder drafting, a tutor explaining, a repo breathing.
Seventy-three… See the full description on the dataset page: https://huggingface.co/datasets/Manusagents/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset.alpaca-gpt4
Dataset Card for alpaca-gpt4
This dataset originates from this repository.
The alpaca-gpt4 dataset is specifically used for fine-tuning LLMs based on the instruction generated by GPT-4 using Alpaca prompts.
Dataset Details
Dataset Description
Each sample is comprised of four columns: instruction, input, output and text.
Language(s): English
License: Creative Commons NonCommercial (CC BY-NC 4.0)
Dataset Sources
The code from the original repository… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/alpaca-gpt4.gpt-edit-simplerfineweb10B-gpt2
fineweb10B-gpt2
This repo contains the GPT-2 tokens for fineweb10B, just as would be generated by https://github.com/KellerJordan/modded-nanogpt/tree/master (or llm.c).
You can download from this repo instead of re-tokenizing to save a couple hours of setup on a new machine.
fineweb100B-gpt2