A curated dataset for fine-tuning LLMs on JupyterLab cell manipulation and multi-turn tool-calling workflows.
Format: ShareGPT / OpenAI-style conversations.
Samples: 1,583 total (319 text-only, 286 single-turn, 978 multi-turn).
Tools Included: create_cell, execute_cell, get_cell_output, update_cell, get_notebook_content.
Designed to train models to act as interactive assistants within JupyterLab… See the full description on the dataset page:
https://huggingface.co/datasets/p4ulbr4dl3y/cellsistant_notebook_v7.
