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 ...

TFT Set 10 Remix Rumble Revival: New Augments, Bag Changes, Rewards ...

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 ...

EleutherAI is working on building an updated version of the Pile, one of the world's largest datasets used to train AI models.

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.