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Label Studio is a multi-type data labeling and annotation tool with standardized output format

Faker is a Python package that generates fake data for you.

Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.

Open source annotation tool for machine learning practitioners.

Models, data loaders and abstractions for language processing, powered by PyTorch

Extract data from a wide range of Internet sources into a pandas DataFrame.

FMA: A Dataset For Music Analysis

Colour Science for Python

A Data Streaming Library for Efficient Neural Network Training

Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥

World’s single largest Internet domains dataset

Open-source benchmark for browser AI agents on daily tasks.

⚽️ Extract, prepare and publish Transfermarkt datasets.

Digital Elevation model library in C#. 3D terrain models, line/point Elevations, intervisibility reports

source{d} datasets ("big code") for source code analysis and machine learning on source code

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

Collection Data for Cooper Hewitt, Smithsonian Design Museum

The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms

Crop/Weed Field Image Dataset

The first realistic and public dataset with rare undesirable real events in oil wells.

Proton Exchange Membrane (PEM) Fuel Cell Dataset

COVID-19 datasets are constructed entirely from primary (government and public agency) sources

[NeurIPS'25 D&B] Mind2Web-2 Benchmark: Evaluating Agentic Search with Agent-as-a-Judge

Lemons quality control dataset

Python API for accessing Lake high frequency tick trades & order book data

Cube++ is a novel dataset collected for illumination estimation problem. It has 4890 raw 18-megapixel images, each containing a SpyderCube color target in their scenes, manually labelled categories, and ground truth illumination chromaticities.

Here, the most popular Electric Load Forecasting datasets are collected centrally. Feel free to support this work. 🔥

Single DBFC Dataset

Training images for geostastical simulation

Static ETF database in various formats