Dataforge: A Data Agent Platform for Autonomous Data Engineering

• URL: http://arxiv.org/abs/2511.06185v1
• Date: Sun, 09 Nov 2025 01:58:13 GMT
• Title: Dataforge: A Data Agent Platform for Autonomous Data Engineering
• Authors: Xinyuan Wang, Yanjie Fu,
• Abstract summary: Data Agent is a fully autonomous system specialized for tabular data.<n>It automatically performs data cleaning, hierarchical routing, and feature-level optimization through dual feedback loops.<n>It embodies three core principles: automatic, safe, and non-expert friendly, which ensure end-to-end reliability without human supervision.
• Score: 22.691284342164334
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The growing demand for AI applications in fields such as materials discovery, molecular modeling, and climate science has made data preparation an important but labor-intensive step. Raw data from diverse sources must be cleaned, normalized, and transformed to become AI-ready, while effective feature transformation and selection are essential for efficient training and inference. To address the challenges of scalability and expertise dependence, we present Data Agent, a fully autonomous system specialized for tabular data. Leveraging large language model (LLM) reasoning and grounded validation, Data Agent automatically performs data cleaning, hierarchical routing, and feature-level optimization through dual feedback loops. It embodies three core principles: automatic, safe, and non-expert friendly, which ensure end-to-end reliability without human supervision. This demo showcases the first practical realization of an autonomous Data Agent, illustrating how raw data can be transformed "From Data to Better Data."

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