MiniMaxAI/OctoBench
OctoBench: Instruction-Following Benchmark for Coding Agents English | δΈζ π° News [2026-01-16] π Paper released on arXiv: OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding [2026-01] π Dataset released on Hugging Face π Overview OctoBench is an extended version of OctoCodingBench, expanded from the original 72 manually annotated instances to 217 instances using AI-assisted Augmentation.β¦ See the full description on the dataset page: https://huggingface.co/datasets/MiniMaxAI/OctoBench.
| Author / organization | MiniMaxAI |
|---|---|
| License (as declared) | mit |
| Downloads | 234 (as reported by Hugging Face) |
| Likes | 23 |
| Created | 15 January 2026 |
| Last updated at source | 16 January 2026 |
Recent changes
- 16 Oct 2026 Description: OctoBench: Instruction-Following Benchmark for Coding Agents English | δΈζ π° News [2026-01-16] π Paper released on arXiv: OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding[2026-01] π Datase β OctoBench: Instruction-Following Benchmark for Coding Agents English | δΈζ π° News [2026-01-16] π Paper released on arXiv: OctoBench: Benchmarking Scaffold-Aware Instruction Following in Repository-Grounded Agentic Coding [2026-01] π Datas
Changes detected by Silytics between refreshes of the source.
More from MiniMaxAI
- MiniMaxAI/TTS-Multilingual-Test-SetDataset
- MiniMaxAI/SynLogicDataset
- MiniMaxAI/role-play-benchDataset
- MiniMaxAI/OctoCodingBenchDataset
- MiniMaxAI/VIBEDataset
- MiniMaxAI/MR-NIAHDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.