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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

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

wolverine876 3y ago
> 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 I don't understand - didn't the GP say it is the same database?
- ipython 3y ago
  In case it wasn't obvious, I meant no sarcasm when I said great research. The GP did a fabulous job digging up context and researching where this data may have been sourced from. Yes, they did say it looked like the same dataset (I assume the GP has not actually purchased the commercial data set to confirm, but like me, saw that the number of texts is coincidentally exactly the same between the two)
  - reaperman 3y ago
    I did very much appreciate your appreciation. Mostly though I was just a bit more thorough than others would be. If I was clever at all, it was only in identifying what exactly would be best to copy/paste. I keyed in on 'Michigan Corpus of Academic Spoken English' and 'Michigan Corpus of Upper-Level Student Papers' on this page[0] and the simplest copy/paste google searches led me directly to the UMich page for the datasets which share that exact name[1]. 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://archive.is/QLqZT / https://llm-academic-speech-data.catalystresearch.io/ https://llm-academic-speech-data.catalystresearch.io/ 1: https://lsa.umich.edu/eli/language-resources/micase-micusp.html https://lsa.umich.edu/eli/language-resources/micase-micusp.h... 2: https://www.youtube.com/watch?v=Vj04MKykmnQ&vl=en https://www.youtube.com/watch?v=Vj04MKykmnQ&vl=en

wolverine876 3y ago

> 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 I don't understand - didn't the GP say it is the same database?

ipython 3y ago
In case it wasn't obvious, I meant no sarcasm when I said great research. The GP did a fabulous job digging up context and researching where this data may have been sourced from. Yes, they did say it looked like the same dataset (I assume the GP has not actually purchased the commercial data set to confirm, but like me, saw that the number of texts is coincidentally exactly the same between the two)
- reaperman 3y ago
  I did very much appreciate your appreciation. Mostly though I was just a bit more thorough than others would be. If I was clever at all, it was only in identifying what exactly would be best to copy/paste. I keyed in on 'Michigan Corpus of Academic Spoken English' and 'Michigan Corpus of Upper-Level Student Papers' on this page[0] and the simplest copy/paste google searches led me directly to the UMich page for the datasets which share that exact name[1]. 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://archive.is/QLqZT / https://llm-academic-speech-data.catalystresearch.io/ https://llm-academic-speech-data.catalystresearch.io/ 1: https://lsa.umich.edu/eli/language-resources/micase-micusp.html https://lsa.umich.edu/eli/language-resources/micase-micusp.h... 2: https://www.youtube.com/watch?v=Vj04MKykmnQ&vl=en https://www.youtube.com/watch?v=Vj04MKykmnQ&vl=en