With open data sources, also emphasise checking for any throttling limits and if the site doesn't specify then go super slow: it may not be resourced for dealing with large number of queries and it's a bit rude to accidentally DoS attack an open site. 😉
There are discussions currently on the Dspace list about how to block AI/other scrapers from repositories because of the havoc they cause. Our own repository is having general performance issues so even the harvesters we actively *want* running on our site had to throttle back to 1 request per 10 seconds(!!)
Deborah
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Sent: Saturday, April 27, 2024 2:58 AM
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Subject: Re: [CODE4LIB] web scraping to train LLM
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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.
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From: Code for Libraries <[log in to unmask]> On Behalf Of Pikas, Christina K.
Sent: Friday, April 26, 2024 10:03 AM
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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
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Subject: [EXT] [CODE4LIB] web scraping to train LLM
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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
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