Research resources

We make tools and datasets available to the broader research community with the goal of building a more collaborative ecosystem.

Some of our datasets

Attributed QA

Attributed Question Answering (QA) as a key first step in the development of attributed LLMs. This release consists of human-rated system outputs for Attributed Question Answering.

VRDU: Visually Rich Document Understanding

VRDU contains two datasets that represent several challenges: rich schema including diverse data types, complex templates, and diversity of layouts within a single document type.

MD3: Multi-dialect dataset of dialogues

MD3 features audio and transcripts of thousands of conversational dialogues in English from India, Nigeria, and the US. In each dialogue, speakers are prompted with an information-sharing intent (image or phrase).

AIS: Attributable to Identified Sources

The output of generative large language models, annotated to indicate whether it only conveys information that is verifiable in provided source documents.

DiffQG: Generating Questions on Paired Sentences

DiffQG is a dataset about summarizing the difference between two passages using a question and answer pair.

Voice Assistant Failures Dataset

A dataset with 199 failures that 107 users have encountered when interacting with commercial voice assistants.

MusicCaps

The MusiCaps dataset contains 5.5k high-quality music captions written by musicians. Each describes a 10s clip of music from YouTube.

C4RepSet

C4RepSet, representative subset of C4 (Colossal Clean Crawled Corpus), offers efficient training of large language models despite being significantly smaller than C4.

Explore our datasets

Some of our projects

WeatherBench 2

WeatherBench 2 is a benchmark for evaluating the next generation of data-driven, global weather forecasting models.

Project Contrails

Leveraging computer vision to build a cost-effective and scalable method for helping to mitigate aviation’s climate impact.

Flood Forecasting

The Flood Forecasting Initiative uses AI to make flood forecasting information universally accessible.

Med-PaLM

Med-PaLM is a Large Language Model fine-tuned and designed to provide high quality answers to medical questions.

Universal Speech Model (USM)

USM, a family of state-of-the-art speech models with 2B parameters trained on 12M hours (28 billion sentences) of speech, performs automatic speech recognition for 300+ languages.

Project Relate

An Android beta app that uses machine learning to help people with non-standard speech make their voices heard.

Societal context understanding tools and solutions

SCOUTS is a Research initiative with the mission to provide people and ML systems with the scalable, trustworthy societal context knowledge required to realize responsible and robust AI.

Explore our projects

Tools and services

Prepare data

Use TensorFlow tools to process and load your data

Build ML models

Use pre-trained models or create custom ones.

TPU Research Cloud

The TPU Research Cloud (TRC) program enables researchers to apply for access to a cluster of more than 1,000 Cloud TPUs at no charge to help them accelerate the next wave of research breakthroughs.

Dataset Search

Dataset Search enables users to find datasets stored in thousands of repositories across the web, making these datasets universally accessible and useful for everyone.

Cloud TPU machine learning accelerators

Train and run machine learning models faster than ever before.

Cloud AI

Google Cloud's AI provides modern machine learning services, with pre-trained models and a service to generate your own tailored models.

Cloud AutoML

Train high quality custom machine learning models with minimum effort and machine learning expertise.

CoLaboratory

Colaboratory is a Google research project created to help disseminate machine learning education and research. It's a Jupyter notebook environment that requires no setup to use and runs entirely in the cloud.

Open source

The Data Cards Playbook

A toolkit of activities, frameworks, and guidance for transparency in research dataset documentation. Customizable, participatory methods to create Data Cards templates.

Explore TensorFlow

Our open-source machine learning platform for everyone.

Google Open Source

Google believes that open source is good for everyone.

Google Research GitHub

Explore all the open source releases from Google Research.

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