Text Embedding AI Tool
How can I download embedded research papers from Arxiv.org using Macrocosm?
To download embedded research papers from Arxiv.org, Macrocosm offers two options. You can download papers embedded by title or by abstract, both using the InstructorXL model. The dataset with titles is 6.5 GB in size, and the one with abstracts is 7.6 GB in size. You can access these downloads directly from the Macrocosm platform via the provided links.
What embedded datasets can I vote for on Macrocosm?
Currently, on Macrocosm, you can vote for the embedding of several datasets including all US cases from the Case Law Project, all patents from the USPTO, all of English Wikipedia, and all repositories on Github. This gives you the opportunity to influence which datasets Macrocosm works on next, guiding future developments based on community interest.
What are the details of the embedded religious texts available for download on Macrocosm?
Macrocosm offers a dataset of major religious texts embedded using the Ada-002 model. This dataset includes 50 million texts and has a total size of 20 GB. Users interested in accessing these religious texts can download the dataset directly from the platform through the available download link.
