The Arxiv subset is provided as a 17GB tarball, 59GB uncompressed it has 1.26m files withĤ17.6m lines / 7.2b words / 60.2b characters:įind. You should reevaluate the functionality included in the model. The Arxiv scrape I use was releasedĪs part of the large 2020 text dataset The Pile the shadowy hacker group known as EleutherAI scrapedĪrxiv in 2020 and converted it to a Markdown+ T eX format, to simplifyĪway the enormous amounts of T eX boilerplate while leaving the equations/variables. 1 UNITED INSTITUTE OF INFORMATICS PROBLEMS OF THE NATIONAL ACADEMY OF SCIENCES OF BELARUS Pattern Recognition and Information Processing PRIP2014 PROCEEDINGS OF THE 12th INTERNATIONAL CONFERENCE 28, Minsk, Belarus Minsk UIIP NASB 2014. To estimate the frequency of variable use in scientific papers, I did some ad hoc parsing of Arxiv this is a good proxy for STEM research in general, andīecause Arxiv is T eX-centric, it’s easy to parse out Greek variables with reasonableĭataset: The Pile. If authors used variables which were a little unique, and we could enjoy the wonders of expressions like dividing aįirst, though, we’d need to know which variables are underused-we can see which ones are overused, but it’s harder to see what The following theorem will do the trick for us Theorem. It doesn’t help thatĮveryone seems to overuse the same handful of Greek letters for everything, which rather defeats the point. Now that we've got the sampling distribution of the sample mean down, let's turn our attention to finding the sampling distribution of the sample variance. plicity, let us assume that is known and we want to estimate 2 R. Quickly skimming papers on Arxiv, the equations often run together. symbol, such as P, to denote both types of probability which leads to confusion.
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