datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
photonic-integrated-circuit-yield
🏭 Photonic Integrated Circuit Yield Dataset
📊 125,000 synthetic (yield query, yield reasoning response) pairs covering process variation, defect density, lithography, and metrology challenges in CMOS-compatible photonic integrated circuit (PIC) manufacturing.
⚠️ Disclaimer: All entries are synthetically generated. Yield figures are computed from textbook models over sampled inputs, and citations are placeholders styled after technical sources; none reference a real… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/photonic-integrated-circuit-yield.SiN-photonic-waveguide-loss-efficiency
💎 SiN Photonic Waveguide Loss & Efficiency Dataset
🔬 90,000 synthetic rows of silicon nitride (Si₃N₄) waveguide parameters linking geometry, fabrication, and operating conditions to loss and efficiency metrics, for regression modeling, simulation, and fine-tuning.
⚠️ Disclaimer: All rows are synthetically generated. Parameter ranges are informed by published SiN platform values, but no row is a foundry measurement. The data_source column is a schema field; every row in this… See the full description on the dataset page: https://huggingface.co/datasets/Taylor658/SiN-photonic-waveguide-loss-efficiency.PhotonicDeepBeam-dataset
PhotonicDeepBeam Dataset
This repository hosts the datasets used in the QuantBeam project — an adaptation of the DeepBeam architecture towards Photonic-Aware Neural Networks (PANN) for millimeter-wave (mmWave) beam classification.
⚠️ The datasets are NOT ours. They are the original experimental datasets collected and published by the DeepBeam / WiNES Lab team (Polese, Restuccia, Melodia — Northeastern University). We re-host them here solely to facilitate reproducibility of our… See the full description on the dataset page: https://huggingface.co/datasets/triani/PhotonicDeepBeam-dataset.Qwen-1.5BQwen-14Bgreen-llm-outputsgemma_2b_outputs
Gemma 2B Green LLM Experiment Outputs
This dataset repository contains experiment artifacts for Gemma 2B green-LLM runs, including LoRA adapter checkpoints, metrics, predictions, carbon logs, and figures.
Contents
checkpoints/: LoRA adapter checkpoints for CE baseline and joint-loss variants.
metrics/: training histories, SQuAD and MMLU summaries, prediction CSVs, calibration tables, and surrogate weights.
logs/: run histories and carbon summary JSON files.
carbon/:… See the full description on the dataset page: https://huggingface.co/datasets/PhotonTJ/gemma_2b_outputs.llama_1b_outputsPhoton-Energy-office-building-temperature-control
Information
The Photon Energy Office Building Temperature Control dataset is designed to advance research in thermal comfort within buildings and methods for optimal heating control. It includes data from multiple locations, covering parameters such as temperature and humidity, as well as information related to the heating system, including target temperatures and heater valve levels. The dataset was collected from several office buildings in Poland (Eastern Europe) and is provided… See the full description on the dataset page: https://huggingface.co/datasets/ml-photonenergy/Photon-Energy-office-building-temperature-control.photonika-russian-tech-media-corpus
Overview
The Russian Photonics Tech-Media Corpus (RPTMC) is a Russian-language domain-specific corpus containing publications related to photonics, laser technologies, fiber optics, optoelectronics, spectroscopy, scientific instrumentation, and quantum technologies.
The corpus consists of 3,524 publications collected from specialized Telegram channels representing industrial, scientific, educational, and technology-oriented communication.
Dataset Statistics… See the full description on the dataset page: https://huggingface.co/datasets/KateIce/photonika-russian-tech-media-corpus.lambda-calibration-outputs