Great research! Hilarious that the dataset link you provided just happens to have the exact same number of texts available for download as are available in this "commercial" dataset:
> Showing 1 to 20 of 829 papers
> Showing 1 to 20 of 829 papers
I don't understand - didn't the GP say it is the same database?
I did notice the rest of the details were identical, but honestly had already lost good-faith and stopped 'evaluating' once I saw the perfectly matching dataset names. I have very little faith in the tech / SaaS industry, and generally I am quick to assume people are grifters. Particularly for sites with no social proof established by reputation from a wide userbase and a convincing 'about us' with actual people's bios and real contact information.
I get irrationally angry about for-profit license violations of 'free-ish' intellectual property, because of how hard capitalists come down on people like Aaron Swartz, Kim Dotcom, and scores of teenagers using Napster or Bittorrent when I was young. So I plunge a bit deeper into them than is rational. I strongly identify with superficially irrational efforts like Naomi Wu's[2].
0: https://archive.is/QLqZT / https://llm-academic-speech-data.catalystresearch.io/
1: https://lsa.umich.edu/eli/language-resources/micase-micusp.h...