Qwen3 Coder Next Instruction Dataset in TeichAI Format

1878 examples of programming instruction-response pairs formatted for AI model training. The dataset was created by Crownelius and converted to match the TeichAI/claude-4.5-opus-high-reasoning-250x structure. It was last updated in March 2026.

Use Cases

• Fine-tune a code generation model using the 'user' and 'assistant' message content for supervised learning.
• Train a model to follow system prompts by analyzing the 'role' and 'content' fields in the structured conversation format.
• Benchmark model performance on coding tasks by evaluating responses against the provided 'assistant' content ground truth.
• Study instruction-following behavior in AI by analyzing the relationship between 'system' prompts and subsequent model outputs.

Strengths

• Contains 1878 distinct instruction-response examples for training.
• Data is explicitly formatted to match a known high-reasoning dataset structure for consistency.

Limitations

• The sample size of 1878 examples is relatively small for modern LLM fine-tuning.
• Original source data quality and diversity are unknown, posing a risk of hidden biases.

Provenance

Source

Original source is crownelius/Qwen3-Coder-Next-1800x on Hugging Face.

Collection Method

Formatted conversion from an original dataset to match a specific template.

Freshness

Last updated March 2026.