Nevertheless, existing datasets tend to neglect railway scenes, with limitations in scale, categories, and scene diversity. This motivated us to establish WHU-Railway3D, a diverse PCSS dataset ...

Large language models (LLMs) are typically pre-trained on massive-scale data and then fine-tuned on specialized datasets for downstream applications. Determining whether a model has been fine-tuned on ...

X-Atlas/Orion: Xaira Therapeutics Unveils Largest Publicly Available Genome-Wide Perturb-seq Dataset to Power Next-Generation AI for BiologyXaira Therapeutics today announced a significant leap ...

Open Molecules 2025, an unprecedented dataset of molecular simulations, has been released to the scientific community, paving the way for the development of machine learning tools that can ...

OpenAI has unveiled a large dataset to help test how well artificial intelligence (AI) models answer health care questions.

Datasheets for datasets are intended to address the needs of two key stakeholder groups: dataset creators and dataset consumers. For dataset creators, the primary objective is to encourage careful ...

At first thought, computing the similarity/distance between two datasets sounds easy, but in fact the problem is extremely difficult, explains Dr. James McCaffrey of Microsoft Research.