AAUGS/Tools

Function-calling fine-tune data (xLAM + ToolACE + Java/JS) Training data for fine-tuning small language models on function calling, built against the BFCL non-live AST categories. OpenAI/ChatML messages schema; Pythonic [func(arg=val)] labels. Configs Config File Examples Focus python-headline train.qwen.messages.jsonl 140,080 xLAM Python backbone + ToolACE + synthetic irrelevance + parallel up-weight javajs-augmented train.javajs.messages.jsonl 170… See the full description on the dataset page: https://huggingface.co/datasets/AAUGS/Tools.