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Janine - I know this is not what you are asking for, but I'm wondering if tools like Constellate (https://constellate.org/) could help your researchers? I think sometimes we think there must be "a lot" of publication of a topic of our interest, and therefore LLMs must be able to discover something new. But what is "a lot"? "400,000" seem like a number that was decided by algorithms but is it appropriate? And what can you really discover? I attended a Constellate demo and it is using JSTOR as its core corpus for text analysis. I don't think it would have a lot of science content, but might be a good tool to test ideas and hypotheses. Jen JEN-CHIEN YU DIRECTOR OF LIBRARY ASSESSMENT University of Illinois Urbana-Champaign Library Administration Library Administration 436 Library | M/C 522 Urbana, IL 61801 217-300-0400 | [log in to unmask] www.library.illinois.edu Under the Illinois Freedom of Information Act any written communication to or from university employees regarding university business is a public record and may be subject to public disclosure. -----Original Message----- From: Code for Libraries <[log in to unmask]> On Behalf Of Abner, Kayla Sent: Friday, April 26, 2024 10:03 AM To: [log in to unmask] Subject: Re: [CODE4LIB] web scraping to train LLM Pre-AI mania, vendors might share that data upon request for research. So you could ask WOS or Scopus, or check their text and data mining policy to see what their required steps are to get the data. However as others have mentioned, vendors have been very finicky about data mining since AI has become such a hot topic. ---- Kayla Abner (she/her) Digital Scholarship Librarian Digital Initiatives and Preservation Library, Museums and Press University of Delaware [log in to unmask]<mailto:[log in to unmask]> Book time to meet with me<https://urldefense.com/v3/__https://calendly.com/kabner-gx9j/consultation__;!!DZ3fjg!6DGxLwqjhyYgydZEyRfxJrwO4jl8t8jD8WyzQf1DvzGh1eBf18_sXbPwIqvURVxFVJbw5YK0qky9Vr0Z$ > **The University of Delaware, a land grant institution, is located on land that was and continues to be vital to the web of life of the Nanticoke and Lenni-Lenape people. We express gratitude and honor the people who have inhabited, cultivated, and nourished this land for thousands of years, even after their attempted forced removal during the colonial era and early federal period. The University of Delaware also financially benefitted from the expropriation of Indigenous territories in the region colonially known as Montana. View the full Living Land Acknowledgement<https://urldefense.com/v3/__https://sites.udel.edu/antiracism-initiative/committees/american-indian-and-indigenous-relations/living-land-acknowledgement/*Living_Land_Acknowledgement__;Iw!!DZ3fjg!6DGxLwqjhyYgydZEyRfxJrwO4jl8t8jD8WyzQf1DvzGh1eBf18_sXbPwIqvURVxFVJbw5YK0quEW97S2$ >.** [cid:12c2dc0f-7d43-4c66-82f6-e726436595d4] ________________________________ From: Code for Libraries <[log in to unmask]> on behalf of Pino, Janine <[log in to unmask]> Sent: Friday, April 26, 2024 10:57 AM To: [log in to unmask] <[log in to unmask]> Subject: Re: [CODE4LIB] web scraping to train LLM Yeah, I'm a little nervous about providing advice in this situation. I do not want to recommend Scopus or Web of Science; we've had vendor complaints about people going over the data limit. I am going to emphasize open data sources and crediting the data to be safe. They are using Beautiful Soup and APIs to get the data. -----Original Message----- From: Code for Libraries <[log in to unmask]> On Behalf Of Pikas, Christina K. Sent: Friday, April 26, 2024 10:03 AM To: [log in to unmask] Subject: [EXTERNAL] Re: [CODE4LIB] web scraping to train LLM There be dragons! In particular don't mention "scraping" anywhere within distance of A. C. S. Open collections are probably your best bet. Maybe something from NIST for reference data and then things like Semantic Scholar. Many/most publishers have hastily constructed "NO AI" rules ... which forbid everything, even things which are clearly fair use. -----Original Message----- From: Code for Libraries <[log in to unmask]> On Behalf Of Pino, Janine Sent: Friday, April 26, 2024 9:40 AM To: [log in to unmask] Subject: [EXT] [CODE4LIB] web scraping to train LLM APL external email warning: Verify sender [log in to unmask] before clicking links or attachments Hello, Does anyone have experience with web scraping publications to train LLM? One of our researchers is looking for a good source on condensed matter and materials science. They've tried arXiv but couldn't find enough publications specifically on materials science as a subcategory. They were hoping for about 400,000 publications. Thanks, Janine Pino (she/her) Data Librarian Research Library & Information Services Office of Institutional Planning Oak Ridge National Laboratory Email: [log in to unmask]<mailto:[log in to unmask]> Phone: 865.341.2465