A multi-task supervised fine-tuning dataset that teaches a model to convert
image-synthesis caption prompts into JSON whose structure varies by task.
Built from MS-COCO captions (Karpathy split) with Claude Sonnet 4.6 as the
teacher; designed for training per-task LoRAs on
Qwen/Qwen3.5-0.8B.
Each row is in the Qwen3.5-native tool-call shape: a messages array with an
assistant turn whose tool_calls[0].function.arguments is a dict… See the full description on the dataset page:
https://huggingface.co/datasets/AbstractPhil/json-coco-format.
