Dataset Details
This dataset contains a rich collection of popular slang terms and acronyms used primarily by Generation Z. It includes detailed descriptions of each term, its context of use, and practical examples that demonstrate how the slang is used in real-life conversations. The dataset is designed to capture the unique and evolving language patterns of GenZ, reflecting their communication style in digital spaces such as social media, text messaging, and online forums. Each… See the full description on the dataset page: https://huggingface.co/datasets/MLBtrio/genz-slang-dataset.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This dataset is a rich collection of handwritten Sindhi alphabet images, carefully curated to capture a diverse range of writing styles. The dataset includes samples from multiple generations, including Gen X, Millennials, Gen Z, and Gen Alpha, ensuring a broad representation of handwriting variations. Additionally, it encompasses contributions from individuals of different genders and varying levels of handwriting proficiency, making it highly valuable for research in handwriting recognition… See the full description on the dataset page: https://huggingface.co/datasets/maddy2104/Sindhi-Handwritten-Alphabets.
This dataset contains a collection of AI-generated images created using the PixArt-α model. PixArt-α is an open-source, transformer-based diffusion model developed by Huawei's Noah’s Ark Lab for high-quality text-to-image generation. Images were generated using various prompts and images have been classified in various categories.
PixArt-α is a state-of-the-art diffusion model that combines the strengths of diffusion techniques and transformer architectures to generate high-fidelity images from textual prompts. It supports generation at resolutions up to 1024×1024, although this dataset contains 512×512 resolution images for efficiency.
The dataset includes the following 11 image categories:
Each folder represents a category and contains multiple 512×512 images generated by prompting PixArt-α with relevant class descriptions.
Author:BEIS (now DESNZ)Creation date:2023Date of source data harvest:2023Temporal coverage:2008-2027Spatial Resolution:Project locationsGeometry:PointSource data URL:Renewable Energy Planning Database: quarterly extract - GOV.UKData terms of use:Open Government Licence v3 - Dataset can be shared openly for re-use for commercial and non-commercial purposes, with appropriate attribution.Data attribution:- Dataset processed by Arup as part of the West London sub-regional LAEP, 2023.- Contains DESNZ data licensed under the Open Government Licence v3.0.Workflow Diagram:Available: pngComments:The data and analysis developed for the sub-regional LAEP was undertaken using data available at the time and will need to be refined for a full Phase 2 LAEP.Whilst every effort has been made to ensure the quality and accuracy of the data, the Greater London Authority is not responsible for any inaccuracies and/or mistakes in the information provided.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
DEPRECATED. DO NOT USE. See current version at https://dx.doi.org/10.7799/1812548. See active link below in the resources section. Open sourced data needed to run the basic alpha release version of the dGen model. Includes a pre-generated agent file of 100,000 agents in pickle file format along with the base schema and table data in parquet format that are needed to create a postgreSQL database for the model to interact with.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
In contrast to the industrial-scale production of H2O2 the electrochemical or photoelectrochemical synthesis is environmentally friendly. In the present work,
the photoelectrochemical generation of H2O2 was studied by combining the hematite (α-Fe2O3/FTO/glass) photoanode and gas diffusion electrode (GDE) modified by
incorporation of tin (II) phthalocyanine (SnPc) in its hydrophilic layer. The experiments were carried out in a photoelectrochemical cell with two compartments
separated by a proton exchange membrane under applied bias and AM1.5 irradiation (100 mW/cm2). The generated amount of H2O2 was determined by chemical analysis
(visible light spectrophotometry) of the electrolyte. As a tool to determine the efficiency of such a process, the Faradaic efficiency (FE) was calculated. The
best configuration used air as an inlet gas for GDE and phosphate buffer (pH 6.4) as an electrolyte in the cathodic compartment. The combination of hematite and
GDE (with SnPc) was the most effective in H2O2 photoelectrochemical generation. The highest value of FE was 52.4 % for GDE (O2 reduction to H2O2) and 0.4 % for
hematite photoanode (H2O oxidation to H2O2).
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Dataset Details
This dataset contains a rich collection of popular slang terms and acronyms used primarily by Generation Z. It includes detailed descriptions of each term, its context of use, and practical examples that demonstrate how the slang is used in real-life conversations. The dataset is designed to capture the unique and evolving language patterns of GenZ, reflecting their communication style in digital spaces such as social media, text messaging, and online forums. Each… See the full description on the dataset page: https://huggingface.co/datasets/MLBtrio/genz-slang-dataset.