Bucket-targeted BFCL-style tool-calling repair dataset for GLM native tool-call finetuning.
Built from public OOD tool-call datasets and filtered against BFCL single-call eval prompts.
Primary file: train.jsonl
Rows: 9788 after dropping exact BFCL eval prompt overlaps.
Format: messages, tools, target_call. Training should use GLM native target formatting from target_call, not the legacy target_text_cohere field.
Audit files included:… See the full description on the dataset page:
https://huggingface.co/datasets/Occupying-Mars/glm-base-ood-repair-mix-10k.