text:  This is explained explicitly in the appeals court’s decision:*Authors Guild v. HathiTrust,*755 F.3d 87 (2d 
  35 
  Cir. 2014). 
  
   HathiTrust has also made available some data derived from books, such as the Extracted Features 
  
  36 
  set: “HTRC releases research datasets to facilitate text analysis using the HathiTrust Digital Library. 
  While copyright-protected texts are not available for download from HathiTrust, fruitful research can still 
  be performed on the basis of non-consumptive analysis of transformative datasets, such as in HTRC's 
  ﬂagship Extracted Features Dataset, which includes features extracted from full-text volumes. These 
  features include volume-level metadata, page-level metadata, part-of-speech-tagged tokens, and token 
  counts:” https://analytics.hathitrust.org/datasets#top. 
  
   See Testimony of Chris Callison-Burch, July 2023, https://docs.house.gov/meetings/JU/ 
  
  37 
  JU03/20230517/115951/HHRG-118-JU03-Wstate-Callison-BurchC-20230517.pdf (“As the amount of 
  training data increases, AI systems’ capabilities for language understanding and their other skills 
  improve.”); Brown, Tom, et al.*Language Models Are Few-Shot Learners*. 22 July 2020, at https://arxiv.org/ 
  pdf/2005.14165.pdf (“we ﬁnd that performance scales very smoothly with model size”). 