🎯🗯 Dataset generation for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!
DescribeML is a Visual Studio Code language plug-in to describe machine-learning datasets in a structured format. Build better data describing the composition, provenance and social concerns of your dataset.
An easy to use imageboard scraper.
Proxy server that automatically stores messages exchanged between any OAI-compatible frontend and backend as a ShareGPT dataset to be used for training/finetuning.
The dataset builder script extracts the most relevant market data straight from Binance's API and builds a series of datasets that can be used in data science and machine learning projects.
A full-stack webapp for collecting and managing speech datasets.
Quickly and efficiently caption your image dataset for AI training
The dataset builder script extracts Bitcoin's Lightnining Network statistics through Mempool.space's public API. The data is stored in a .csv file, facilitating its use in data science and machine learning projects.
The dataset builder script extracts all the relevant block information from the Bitcoin Blockchain through Mempool.space's public API. The data is stored in a .csv file, facilitating its use in data science and machine learning projects.
Dynamically add columns to your (.csv) Dataset using the OpenAI API
A modern, visual editor for spintax (spinning syntax) with tree-based editing, live preview, and YAML export. Ideal light-weight AI training data generation alternative. Built with Next.js, TailwindCSS, and TypeScript.
Add a description, image, and links to the dataset-generation topic page so that developers can more easily learn about it.
To associate your repository with the dataset-generation topic, visit your repo's landing page and select "manage topics."