MiniMaxAI/OctoCodingBench
OctoCodingBench: Instruction-Following Benchmark for Coding Agents English | 䏿–‡ 🌟 Overview OctoCodingBench benchmarks scaffold-aware instruction following in repository-grounded agentic coding. Why OctoCodingBench? Existing benchmarks (SWE-bench, etc.) focus on task completion — whether the agent produces correct code. However, they miss a critical dimension: does the agent follow the rules while solving the task? In real-world agentic coding… See the full description on the dataset page: https://huggingface.co/datasets/MiniMaxAI/OctoCodingBench.
| Author / organization | MiniMaxAI |
|---|---|
| License (as declared) | mit |
| Downloads | 486 (as reported by Hugging Face) |
| Likes | 413 |
| Created | 9 January 2026 |
| Last updated at source | 13 January 2026 |
Recent changes
- 16 Oct 2026 Description: OctoCodingBench: Instruction-Following Benchmark for Coding Agents English | 䏿–‡ 🌟 Overview OctoCodingBench benchmarks scaffold-aware instruction following in repository-grounded agentic coding. Why OctoCodingBench? Existing benchmarks (SWE → OctoCodingBench: Instruction-Following Benchmark for Coding Agents English | 䏿–‡ 🌟 Overview OctoCodingBench benchmarks scaffold-aware instruction following in repository-grounded agentic coding. Why OctoCodingBench? Existing benchmarks (SWE
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