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DataPerf: Benchmarks for Data-Centric AI Development
Mark Mazumder
, Colby Banbury
, Xiaozhe Yao
, Bojan Karlaš
, William Gaviria Rojas
, Sudnya Diamos
, Greg Diamos
, Lynn He
, Alicia Parrish
, Hannah Rose Kirk
, Jessica Quaye
, Charvi Rastogi
, Douwe Kiela
, David Jurado
, David Kanter
, Rafael Mosquera
, Juan Ciro
, Lora Aroyo
, Bilge Acun
, Lingjiao Chen
Mehul Smriti Raje, Max Bartolo, Sabri Eyuboglu, Amirata Ghorbani, Emmett Goodman, Oana Inel, Tariq Kane,
Christine R. Kirkpatrick
, Tzu Sheng Kuo, Jonas Mueller, Tristan Thrush, Joaquin Vanschoren, Margaret Warren, Adina Williams, Serena Yeung, Newsha Ardalani, Praveen Paritosh, Ce Zhang, James Zou, Carole Jean Wu, Cody Coleman, Andrew Ng, Peter Mattson, Vijay Janapa Reddi
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Keyphrases
Data-centric
100%
AI Development
100%
Data-centric AI
100%
Open Online
50%
Existing Data
50%
Real-world Application
50%
Learning Research
50%
Online Platform
50%
Machine Learning
50%
Debugging
50%
Long-term Benefit
50%
Benchmark Suite
50%
Dataset Benchmark
50%
Community-led
50%
Online Assessment
50%
Evaluation Platform
50%
Speech Acquisition
50%
Iterative Development
50%
Real-world Research
50%
Computer Science
Machine Learning
100%
Artificial Intelligence
100%
Open Source
25%
Fundamental Importance
25%
Reproducibility
25%
World Application
25%
Baseline Implementation
25%
Online Evaluation
25%
World Research
25%
Online Platform
25%
Iterative Development
25%
Learning System
25%