Common Crawl Foundation

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The Common Crawl Foundation is a California 501(c)(3) registered non-profit founded by Gil Elbaz with the goal of democratizing access to web information by producing and maintaining an open repository of web crawl data that is universally accessible and analyzable. Our vision is of a truly open web that allows open access to information and enables greater innovation in research, business and education. We level the playing field by making wholesale extraction, transformation and analysis of web data cheap and easy.

Company Details

Employees
19
Founded
-
Industry
Technology, Information And Internet
Website
commoncrawl.org
Keywords
London.
Competitors
XPRIZE, Foursquare, Topix, Bankroll Club, The AI Alliance, Constellation Network, Warecorp, Google DeepMind, Bright Data, TenOneTen Ventures.
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Common Crawl Foundation Questions

News

Mapping the Open-Source AI Debate: Cybersecurity Implications and Policy Priorities - R Street Institute

Mapping the Open-Source AI Debate: Cybersecurity Implications and Policy Priorities R Street Institute

Synthetic Browsing Histories for 50 Countries Worldwide: Datasets for Research, Development, and Education - Nature

Synthetic Browsing Histories for 50 Countries Worldwide: Datasets for Research, Development, and Education Nature

Cloudflare To Block AI Crawlers By Default & Pay Per Crawl Model - Search Engine Roundtable

Cloudflare To Block AI Crawlers By Default & Pay Per Crawl Model Search Engine Roundtable

12 new KPIs for the generative AI search era - Search Engine Land

12 new KPIs for the generative AI search era Search Engine Land

All Around The World: The Common Crawl Dataset - watchTowr Labs

All Around The World: The Common Crawl Dataset watchTowr Labs

Common Crawl Foundation and Constellation Network Announce Partnership to Bridge Blockchain and AI - PR Newswire

Common Crawl Foundation and Constellation Network Announce Partnership to Bridge Blockchain and AI PR Newswire

ChatBBNJ: a question–answering system for acquiring knowledge on biodiversity beyond national jurisdiction - Frontiers

ChatBBNJ: a question–answering system for acquiring knowledge on biodiversity beyond national jurisdiction Frontiers

Art Guard: Protecting Your Online Images From Generative AI - Towards Data Science

Art Guard: Protecting Your Online Images From Generative AI Towards Data Science

Methodology - Pew Research Center

Methodology Pew Research Center

Indexing Common Crawl Metadata on Amazon EMR Using Cascading and Elasticsearch - Amazon Web Services

Indexing Common Crawl Metadata on Amazon EMR Using Cascading and Elasticsearch Amazon Web Services

Evaluating the Efficacy of Large Language Models for Systematic Review and Meta-Analysis Screening - medRxiv

Evaluating the Efficacy of Large Language Models for Systematic Review and Meta-Analysis Screening medRxiv

On-device query intent prediction with lightweight LLMs to support ubiquitous conversations - Nature

On-device query intent prediction with lightweight LLMs to support ubiquitous conversations Nature

Evaluating large language models on a highly-specialized topic, radiation oncology physics - Frontiers

Evaluating large language models on a highly-specialized topic, radiation oncology physics Frontiers

When Online Content Disappears - Pew Research Center

When Online Content Disappears Pew Research Center

Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology - Frontiers

Global Syntactic Variation in Seven Languages: Toward a Computational Dialectology Frontiers

Posts on central websites need less originality to be noticed - Nature

Posts on central websites need less originality to be noticed Nature

Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives - Frontiers

Fairness of recommender systems in the recruitment domain: an analysis from technical and legal perspectives Frontiers

A multimodal deep learning architecture for smoking detection with a small data approach - Frontiers

A multimodal deep learning architecture for smoking detection with a small data approach Frontiers

Explainable online health information truthfulness in Consumer Health Search - Frontiers

Explainable online health information truthfulness in Consumer Health Search Frontiers

The news media and AI: A new front in copyright law - Columbia Journalism Review

The news media and AI: A new front in copyright law Columbia Journalism Review

The Times v. Microsoft/OpenAI: Unauthorized Reproduction of Times Works In GPT Model Training (10) - Hackernoon

The Times v. Microsoft/OpenAI: Unauthorized Reproduction of Times Works In GPT Model Training (10) Hackernoon

Exploring neural question generation for formal pragmatics: Data set and model evaluation - Frontiers

Exploring neural question generation for formal pragmatics: Data set and model evaluation Frontiers

Understanding the vaccine stance of Italian tweets and addressing language changes through the COVID-19 pandemic: Development and validation of a machine learning model - Frontiers

Understanding the vaccine stance of Italian tweets and addressing language changes through the COVID-19 pandemic: Development and validation of a machine learning model Frontiers

The org behind the dataset used to train Stable Diffusion claims it has removed CSAM - TechCrunch

The org behind the dataset used to train Stable Diffusion claims it has removed CSAM TechCrunch

The economy and ethics of AI training data - marketplace.org

The economy and ethics of AI training data marketplace.org

Inside the secret list of websites that make AI like ChatGPT sound smart - The Washington Post

Inside the secret list of websites that make AI like ChatGPT sound smart The Washington Post

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