The Data Provenance Initiative: A large scale audit of dataset licensing & attribution in AI

2023 article longpre2023 ⚠ Needs review - 1 field differ

Fields with differences: venue. Compare local vs external BibTeX below.

Authors

Shayne Longpre, Robert Mahari, Anthony Chen, Naana Obeng-Marnu, Damien Sileo, William Brannon, Niklas Muennighoff, Nathan Khazam, Jad Kabbara, Kartik Perisetla

Venue

arXiv preprint arXiv:2310.16787

BibTeX

Local Entry

@article{longpre2023,
  title = {The Data Provenance Initiative: A large scale audit of dataset licensing & attribution in AI},
  author = {Shayne Longpre and Robert Mahari and Anthony Chen and Naana Obeng-Marnu and Damien Sileo and William Brannon and Niklas Muennighoff and Nathan Khazam and Jad Kabbara and Kartik Perisetla},
  year = {2023},
  journal = {arXiv preprint arXiv:2310.16787}
}

From AUTO:OPENALEX

@article{longpre2023,
  title = {The Data Provenance Initiative: A Large Scale Audit of Dataset Licensing &amp; Attribution in AI},
  author = {Shayne Longpre and Robert Mahari and Anthony Chen and Naana Obeng-Marnu and Damien Sileo and William Brannon and Niklas Muennighoff and Nathan Khazam and Jad Kabbara and Kartik Perisetla and Xinyi and Wu and Enrico Shippole and Kurt Bollacker and Tongshuang Wu and L. F. Villa and Sandy Pentland and Deb Roy and Sara Hooker},
  year = {2023},
  journal = {arXiv (Cornell University)},
  doi = {10.48550/arxiv.2310.16787}
}