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Harvard to Release Dataset of 1 Million Public-Domain Books for AI Training
Training data for AI can be quite costly, often accessible primarily to wealthy tech companies. To counter this, Harvard University intends to publish a dataset of around 1 million public-domain books.
These books, written by authors like Dickens, Dante, and Shakespeare, are out of copyright due to their age and cover various genres and languages. The dataset isn't available yet, and details on its release remain unclear. The books come from Google's long-standing book-scanning project, Google Books, and Google will assist in making this "treasure trove" widely accessible. Harvard announced the Institutional Data Initiative (IDI) in March, which aims to provide a "trusted conduit for legal data for AI. " Until today, details were scarce, but now it's confirmed that IDI is supported financially by Microsoft and OpenAI.
Brief news summary
Harvard University is planning to release a dataset featuring around 1 million public-domain books. These works, spanning various genres and languages, include authors like Dickens, Dante, and Shakespeare, and are no longer under copyright due to their age. The release date and method for this dataset are still unconfirmed. The books are sourced from Google's extensive book-scanning project, Google Books, and Google will aid in the distribution of this valuable collection. Harvard introduced the Institutional Data Initiative (IDI) in March, aiming to establish a reliable source of legal data for AI purposes. Today marks the formal launch of the IDI, revealing financial support from Microsoft and OpenAI. This initiative underscores the high costs associated with AI training data, often affordable only to large tech companies. The project seeks to make essential data more accessible, harnessing Google's collaboration to maximize the reach of this impressive dataset.
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