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Paper Collection for Data Science Problems

  1. [ACL2023] Natural Language to Code Generation in Interactive Data Science Notebooks. arXiv, 2022.12

    Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Alex Polozov, Charles Sutton

  2. [ICML2023] DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. arXiv, 2022.11

    Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Scott Wen-tau Yih, Daniel Fried, Sida Wang, Tao Yu

  3. [Preprint] Training and Evaluating a Jupyter Notebook Data Science Assistant. arXiv, 2022.01

    Shubham Chandel, Colin B. Clement, Guillermo Serrato, Neel Sundaresan