AI Training Data Explained: A Practical Guide for Builders
A plain-English guide to AI training data — what it is, where it comes from, how it is cleaned and labeled, and how makers and small teams can build better
Scroll Launch Blog16 min read
datasets
7 stories
The model that didn't exist, so you made it yourself
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face Blog9 min read
Open TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face Blog6 min read
Give Your Coding Agents a Memory You Own
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face Blog8 min read
The Open ASR Leaderboard Adds Its First Global South Language
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Hugging Face Blog13 min read
SCIN: A new resource for representative dermatology images
Health datasets play a crucial role in research and medical education, but it can be challenging to create a dataset that represents the real world. For example, dermatology conditions are diverse in their appearance and severity and manifest differently across skin tones.
Google Research (Legacy)6 min readCroissant: a metadata format for ML-ready datasets
Machine learning (ML) practitioners looking to reuse existing datasets to train an ML model often spend a lot of time understanding the data, making sense of its organization, or figuring out what subset to use as features.
Google Research (Legacy)6 min read
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