OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement [🏠Homepage] [🛠️Code] OpenCodeInterpreter OpenCodeInterpreter is a family of open source code generation systems designed to bridge the gap between large language models and advanced proprietary systems like the GPT 4 Code Interpreter. It significantly advances code generation capabilities by integrating execution and iterative refinement functionalities. For further information and related work, refer to our paper: "OpenCodeInterpreter: A System for Enhanced Code Generation and Execution" available on arXiv. Dataset Description CodeFeedback Filtered Instruction is a curated collection of code instruction queries extracted from four prominent open source code instruction tuning datasets: Magicoder OSS Instruct, Python code subset of ShareGPT, Magicoder Evol Instruct, and Evol Instruct Code. Initially, 287k queries were aggregated from these datasets. To isolate the most intricate and informative instructions, a rigorous filtering process was employed. This involved utilizing the Qwen 72B Chat, an open source chat model, for selective filtering. The code queries are evaluated along with their correspondi…
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