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

A curated list of awesome JSON datasets that don't require authentication.

Open source audio annotation tool for humans

Visipedia Annotation Tools

The largest public catalogue for Arabic NLP and speech datasets. There are +500 datasets annotated with more than 25 attributes.

Resource Watch features hundreds of data sets all in one place on the state of the planet’s resources and citizens. Users can visualize challenges facing people and the planet, from climate change to poverty, water risk to state instability, air pollution to human migration, and more.

Interactive Visualization Interface for Multidimensional Datasets

Search across publicly available datasets to find instances where a drug or cell line of interest has been profiled.

🚓 Crime dataset for the City of Buenos Aires, Argentina

[Archive] Intern project - Big Data Exploration using MongoDB - This Repository is NOT a supported MongoDB product

Findable, Accessible, Interoperable and Reusable Data. A complete open-source solution for your open and private data needs. French only for the time being, internationalization coming soon.

NPM package for copying and converting Cloud Firestore data to BigQuery.

The primary repository for all of the CORGIS Datasets

League of Legends data solution for SLO, official leagues (LCS, LCK, etc.), scrims and Solo Q.

DataStoreHouse is an open-source project that aims to create a collaborative platform for gathering and sharing a wide variety of datasets. It provides a centralised repository where individuals and organisations can contribute, discover, and collaborate on diverse datasets for various domains.

The Carnegie Mellon Pronouncing Dictionary (CMUdict).

Scripts for working with small (1m) and medium sized (50m+) records datasets for MongoDB with Node.js.

Graph Visualization UI for Reddit.

Experimental tl;dr summaries for datasets on the Hugging Face Hub!

a chrome extension to annotate web images, annotated data is saved as a image file with a json file, which can be used for Object detection and localization training (deep learning)