DeepSeek V4 Reasoning Code 2500: Synthetic Instruction-Response Examples

A synthetic dataset of instruction-response examples generated for coding, reasoning, and math tasks. It was created using the DeepSeek V4 Pro and DeepSeek V4 Flash models via OpenRouter with enforce_distillable_text enabled. The dataset is authored by Banaxi-Tech and was last updated on May 24, 2026.

Use Cases

• Supervised fine-tuning of language models based on synthetic instruction-response examples.
• Research into reasoning-format analysis based on the distillation of reasoning and math prompts.
• Training code-assistant models based on generated coding examples.
• Experimentation with response-style distillation techniques based on the dataset's structure.

Strengths

• Dataset was generated using advanced models DeepSeek V4 Pro and DeepSeek V4 Flash.
• Generation process used enforce_distillable_text, which likely aims for high-quality, distillable outputs.
• Dataset is intended for multiple specific research purposes: supervised fine-tuning, distillation, and code-assistant behavior.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Banaxi-Tech via Hugging Face.

Collection Method

Synthetic generation using DeepSeek V4 Pro and DeepSeek V4 Flash models through OpenRouter.

Freshness

Last updated 2026-05-24 11:53:07; freshness should be verified.