Model Hub

🥞 The Stack v3 What is it? What is being released How to download and use it Dataset statistics Dataset structure Dataset creation Considerations for using the data Additional information What is it? The Stack v3 is the largest, most up-to-date open dataset of source code, crawled directly from GitHub and built to pre-train code LLMs with full-repository context. It is the successor to The Stack v2 and, like its predecessor, is released to make the training… See the full description on the dataset page: https://huggingface.co/datasets/HuggingFaceCode/stack-v3-train.

The GitHub Code clean dataset in a more filtered version of codeparrot/github-code dataset, it consists of 115M code files from GitHub in 32 programming languages with 60 extensions totaling in almost 1TB of text data.

Dataset Card for The Stack Metadata Changelog Release Description v1.1 This is the first release of the metadata. It is for The Stack v1.1 v1.2 Metadata dataset matching The Stack v1.2 Dataset Summary This is a set of additional information for repositories used for The Stack. It contains file paths, detected licenes as well as some other information for the repositories. Supported Tasks and Leaderboards The main task is to recreate… See the full description on the dataset page: https://huggingface.co/datasets/bigcode/the-stack-metadata.

The GitHub Code dataest consists of 115M code files from GitHub in 32 programming languages with 60 extensions totalling in 1TB of text data. The dataset was created from the GitHub dataset on BiqQuery.

Language-Grounded Sparse Encoder (LanSE) — Training Data This repository hosts the AI-generated images and human annotation datasets accompanying the paper: Human-like Content Analysis for Generative AI with Language-Grounded Sparse Encoders Yiming Tang, Arash Lagzian, Srinivas Anumasa, Qiran Zou, Yingtao Zhu, Ye Zhang, Trang Nguyen, Yih-Chung Tham, Ehsan Adeli, Ching-Yu Cheng, Yilun Du, Dianbo Liu National University of Singapore · Tsinghua University · Stanford University ·… See the full description on the dataset page: https://huggingface.co/datasets/DesmondYMTang2024/Language-Grounded_Sparse_Encoder_Training.

If you have questions about this dataset , feel free to ask them on the fusion-discord : https://discord.gg/8TVHPf6Edn This collection contains sets from the fusion-t2i-ai-generator on perchance. This datset is used in this notebook: https://huggingface.co/datasets/codeShare/text-to-image-prompts/tree/main/Google%20Colab%20Notebooks To see the full sets, please use the url "https://perchance.org/" + url , where the urls are listed below: _generator gen_e621 fusion-t2i-e621-tags-1… See the full description on the dataset page: https://huggingface.co/datasets/codeShare/text-to-image-prompts.