Academic journals indicators developed from the information contained in the Scopus database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains.
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
Science-T2I Trainset
Resources
Website arXiv: Paper GitHub: Code Huggingface: SciScore Huggingface: Science-T2I-S&C Benchmark
Training Data
The data curation process involved a multi-stage approach to generate a dataset of 40,000 images, each with a resolution of 1024x1024.
Task Definition and Template Design: We began by selecting specific scientific tasks and crafting templates for three distinct prompt types: implicit, explicit, and superficial.… See the full description on the dataset page: https://huggingface.co/datasets/Jialuo21/Science-T2I-Trainset.
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
Science-T2I-C Benchmark
Resources
Website arXiv: Paper GitHub: Code Huggingface: SciScore Huggingface: Science-T2I-Trainset
Benchmark Collection and Processing
Science-T2I-C is generated using the identical procedure as the training data, with a key adjustment to the prompts. This test set pushes the model further by introducing more intricate scenarios, incorporating contextual details like specific scene settings and diverse situations. Prompts in… See the full description on the dataset page: https://huggingface.co/datasets/Jialuo21/Science-T2I-C.
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Academic journals indicators developed from the information contained in the Scopus database (Elsevier B.V.). These indicators can be used to assess and analyze scientific domains.