arXiv (OAI Expanded)
open access
PyMETA: Evaluating Student Code Diagnosis on and Beyond the First Execution Error
Large language models can diagnose a student program from its code, problem statement, and reference solution. Evaluating this ability requires a clear definition of what counts as the correct diagnosis. We introduce PyMETA, a Python error dataset with 48,646 student submissions to 155 problems. Eve
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Programming for the Puzzled#3413
- STMutants: A Mutation Testing Dataset for Structured Text Programs in Industrial Automation#259550
- Coding and Algorithm Aptitude Test Prep 2026 : Logic, Programming, and Data Structure Questions for Tech Interviews / Callan Ryker#487499
- CVE-2026-94620 — CRITICAL 9.4#1167509
- GraphAlignCoder: Aligning Program and Proof Graphs for Code Generation#448005
Record · ID 1110283
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive