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DataCI: A Platform for Data-Centric AI on Streaming Data

arXiv 2306.15538 ↗First posted 27 Jun 2023cs.DC cs.LGcited by 0

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Abstract (arXiv)

We introduce DataCI, a comprehensive open-source platform designed specifically for data-centric AI in dynamic streaming data settings. DataCI provides 1) an infrastructure with rich APIs for seamless streaming dataset management, data-centric pipeline development and evaluation on streaming scenarios, 2) an carefully designed versioning control function to track the pipeline lineage, and 3) an intuitive graphical interface for a better interactive user experience. Preliminary studies and demonstrations attest to the easy-to-use and effectiveness of DataCI, highlighting its potential to revolutionize the practice of data-centric AI in streaming data contexts.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 11 of its 15 references that are in the map. First posted on arXiv 27 Jun 2023.

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References · 11

  1. 2023Segment Anythingcited by 8,234
  2. 2023Data-centric Artificial Intelligence: A Surveycited by 203
  3. 2022DataPerf: Benchmarks for Data-Centric AI Developmentcited by 90
  4. 2021Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistantscited by 31
  5. 2020MLModelCI: An Automatic Cloud Platform for Efficient MLaaScited by 16
  6. 2021ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systemscited by 9
  7. 2023Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Modelscited by 7
  8. 2021DataCLUE: A Benchmark Suite for Data-centric NLPcited by 6
  9. 2021A Data-Centric Framework for Composable NLP Workflowscited by 5
  10. 2022Rethinking Streaming Machine Learning Evaluationcited by 5
  11. 2021ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scalecited by 2

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