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Agent System · Python

Schema_Surgeon_OpenEnv_Meta

What it is

Schema Surgeon is an agent system for NoSQL schema correction, providing an environment where a language model agent can learn to fix schema drift using actions like renaming keys and casting types. It includes three progressively difficult tasks, a dense reward function, and a baseline LLM agent for evaluation.

Scored ateaed4849 Nov 2026Changes since

Merit describes the code at this commit. Later pushes count once the owner rescans. How merit is scored

Where it counts

  • AI Agents90%
  • NLP & LLMs80%
  • Data Science40%
  • Machine Learning30%
  • MLOps20%

How much of the project is about each field, as scoring counts it. It ranks in the field it is most about.

What the judge found

Read from the project's code at its scored commit.

Strengths4

  • Well-defined environment for schema correction tasks with clear, practical action and observation spaces.
  • Deterministic and reproducible datasets (pre-generated and committed) ensuring consistent evaluation.
  • Includes a baseline agent and comprehensive deployment instructions (Dockerfile, Hugging Face setup) for easy experimentation.
  • Comprehensive README explaining the problem, tasks, reward design, and setup, aiding understanding and use.

Limitations

The owner keeps this project's limitations private.

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Whole board
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