Omkar2118/datasets huggingface dataset:
ViGGO

The ViGGO corpus is a set of 6,900 meaning representation to natural language utterance pairs in the video game domain. The meaning representations are of 9 different dialogue acts.

Source: [VIGGO](https://nlds.soe.ucsc.edu/viggo)

Introducing paper: ViGGO: A Video Game Corpus for Data-To-Text Generation in Open-Domain Conversation
REAL275
Full name: NOCS-REAL275

REAL275 is a benchmark for category-level pose estimation. It contains 4300 training frames, 950 validation and 2750 for testing across 18 different real scenes.

Introducing paper: Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation