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

arXiv: https://arxiv.org/abs/2306.15538 · HTML: https://mlsanity.com/paper/2306.15538/

## 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.

## Builds on (most cited first, 11 of 11)

- [Segment Anything](https://mlsanity.com/paper/2304.02643/) (2023)
- [Data-centric Artificial Intelligence: A Survey](https://mlsanity.com/paper/2303.10158/) (2023)
- [DataPerf: Benchmarks for Data-Centric AI Development](https://mlsanity.com/paper/2207.10062/) (2022)
- [Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants](https://mlsanity.com/paper/2112.09062/) (2021)
- [MLModelCI: An Automatic Cloud Platform for Efficient MLaaS](https://mlsanity.com/paper/2006.05096/) (2020)
- [ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems](https://mlsanity.com/paper/2106.03122/) (2021)
- [Adversarial Nibbler: A Data-Centric Challenge for Improving the Safety of Text-to-Image Models](https://mlsanity.com/paper/2305.14384/) (2023)
- [DataCLUE: A Benchmark Suite for Data-centric NLP](https://mlsanity.com/paper/2111.08647/) (2021)
- [A Data-Centric Framework for Composable NLP Workflows](https://mlsanity.com/paper/2103.01834/) (2021)
- [Rethinking Streaming Machine Learning Evaluation](https://mlsanity.com/paper/2205.11473/) (2022)
- [ModelPS: An Interactive and Collaborative Platform for Editing Pre-trained Models at Scale](https://mlsanity.com/paper/2105.08275/) (2021)

## 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.