datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
cellsistant_dpo_v1cellsistant_notebook_v6cellsistant-tool-calling-v2cellsistant_notebook_toolcall_v2cellsistant-tool-callingcellsistant-tool-calling-v3cellsistant_notebook_toolcallcellsistant_notebook_toolcall_v4cellsistant_notebook_v5cellsistant_notebook_finalcellsistant_notebook_v3cellsistant_notebook_v4cellsistant_rl_hardcasescellsistant_notebook_toolcall_v3cellsistant_notebook_v7
Cellsistant Notebook v7
A curated dataset for fine-tuning LLMs on JupyterLab cell manipulation and multi-turn tool-calling workflows.
Dataset Structure
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.
Use Case
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.cellsistant_simple