Published July 18, 2024
| Version v2
Dataset
Open
CSET Private-Sector AI Indicators
Creators
-
Center for Security and Emerging Technology
-
Melot, Jennifer
(Contact person)
-
Arnold, Zachary
(Data manager)
-
Gelles, Rebecca
(Data manager)
-
Luong, Ngor
(Data manager)
- Chen, Eileen (Data collector)
- Thai, Alina (Data collector)
- Lee, Kieran (Data collector)
- Jenkins, Lindsay (Data collector)
- Filler, Ari (Data collector)
- Snyder, Maya (Data collector)
- Wang, Julio (Data collector)
- Pednekar, Sonali (Data collector)
- Pardeshi, Nikita (Data collector)
- Xu, Tianyi (Data collector)
- Chen, Yudi (Data collector)
- Kannan, Vinayak (Data collector)
Description
The Private-Sector AI Indicators dataset includes a diverse range of indicators of AI-related activity for hundreds of companies worldwide, from startups to multinationals. The dataset uses original metadata, models, and methods developed by ETO and CSET to transform information from a wide variety of data sources into AI-related research, patenting, and hiring metrics for every company covered in PARAT. For more information, see our documentation.
Files
parat_data_20240717.zip
Files
(34.0 MB)
| Name | Size | Download all |
|---|---|---|
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md5:b5721e0775b35cf05ff87be6033b7523
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34.0 MB | Preview Download |
Additional details
Software
- Repository URL
- https://github.com/georgetown-cset/parat