datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
LLM_4_HW-SW_Interface
HW/SW Interface LLM Dataset
Overview
A dataset of ~17,000 compiler-validated C programs for ARM-based embedded platforms (Raspberry Pi 3B+, Zero W, 4B, 5), designed for fine-tuning LLMs on hardware-software interface generation tasks.
Fine-tuned open-source models (6–7B parameters) trained on this dataset achieve 81–90% accuracy, matching or exceeding GPT-4o (89.3%) and Gemini Flash 2.0 (87.2%).
Dataset
data/training_set.jsonl — ~17,000 instruction-response… See the full description on the dataset page: https://huggingface.co/datasets/NOKHAB-Lab/LLM_4_HW-SW_Interface.workledger-structured-edit-interface-study-v0.1
WorkLedger Structured Edit Interface Study v0.1
Author: Confetti3
This upload root is the offline release-candidate dataset card for workledger-structured-edit-interface-study-v0.1, destined for confetti3/workledger-structured-edit-interface-study-v0.1. The Hugging Face repository is hosted under the authenticated namespace confetti3, while public authorship is credited only to the pseudonym Confetti3. It is built from the sanitized public package under… See the full description on the dataset page: https://huggingface.co/datasets/confetti3/workledger-structured-edit-interface-study-v0.1.