Tachibana4-DeepSeek-V4-Pro-PREVIEW

**[Click here to support our open-source dataset and model releases - help us speed up our release schedule!](https://huggingface.co/spaces/sequelbox/SupportOpenSource)** **This is an early sneak preview of Tachibana 4, containing the first 1.2k rows!** **Tachibana 4 is an upcoming agentic coding dataset, generated by DeepSeek-V4-Pro:** - Questions prioritize real-world, challenging agentic coding tasks across a variety of programming languages and topics. - Areas of focus include back-end and front-end development, systems programming, distributed systems, performance optimization, data structures, databases and data engineering, game and mobile development, security engineering, compiler design, custom tooling, task automation, practical bugfixes, and more! - A wide variety of emphasized languages improves development capability: Python, C, C++, C#, Go, TypeScript, Java, JavaScript, Rust, Haskell, SQL, Shell, R, Ruby, assembly code, and more! - Synthethic prompts utilize a variety of personas, experience levels, and styles of communication to maximize real-world flexibility and usability. - Responses demonstrate the agentic coding capabilities of DeepSeek's V4 Pro model in thinking mode. **Responses in this early preview have not been edited, filtered, or reviewed at all:** the Tachibana 4 dataset strives to accurately represent the V4 Pro model. Potential issues may include inaccurate answers and infinite thought loops. Tachibana 4 is presented as-is to be used at your discretion. Users should consider applying their own sub-filtering and manual examination of the dataset before use in training. Do as you will.