Omkar2118/datasets huggingface dataset:
OpenLane-V2 test

**OpenLane-V2** is the world's first perception and reasoning benchmark for scene structure in autonomous driving. The primary task of the dataset is scene structure perception and reasoning, which requires the model to recognize the dynamic drivable states of lanes in the surrounding environment. The challenge of this dataset includes not only detecting lane centerlines and traffic elements but also recognizing the attribute of traffic elements and topology relationships on detected objects.

The [OLS](https://github.com/OpenDriveLab/OpenLane-V2#task) score is defined to measure model performance. And test server is [here](https://eval.ai/web/challenges/challenge-page/1925/overview).
DialogStudio

DialogStudio, a meticulously curated collection of dialogue datasets. These datasets are unified under a consistent format while retaining their original information. We incorporate domain-aware prompts and identify dataset licenses, making DialogStudio an exceptionally rich and diverse resource for dialogue research and model training.

Introducing paper: DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI