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Croissant: A Metadata Format for ML-Ready Datasets., , , , , , , , , and 9 other author(s). CoRR, (2024)MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI., , , , , , , , , and 17 other author(s). MLSys, mlsys.org, (2022)Multilingual Spoken Words Corpus., , , , , , , , , and 4 other author(s). NeurIPS Datasets and Benchmarks, (2021)ML Benchmark Design Challenges.. Hot Chips Symposium, page 1-36. IEEE, (2019)MLPerf™ HPC: A Holistic Benchmark Suite for Scientific Machine Learning on HPC Systems., , , , , , , , , and 33 other author(s). MLHPC@SC, page 33-45. IEEE, (2021)MLPerf Inference Benchmark., , , , , , , , , and 37 other author(s). ISCA, page 446-459. IEEE, (2020)Dynatask: A Framework for Creating Dynamic AI Benchmark Tasks., , , , , , , , , and . ACL (demo), page 174-181. Association for Computational Linguistics, (2022)Croissant: A Metadata Format for ML-Ready Datasets., , , , , , , , , and 11 other author(s). DEEM@SIGMOD, page 1-6. ACM, (2024)DMLR: Data-centric Machine Learning Research - Past, Present and Future., , , , , , , , , and 28 other author(s). CoRR, (2023)Federated benchmarking of medical artificial intelligence with MedPerf., , , , , , , , , and 64 other author(s). Nat. Mac. Intell., 5 (7): 799-810 (July 2023)