Omkar2118/datasets huggingface dataset:
CHAIRS dataset

**CHAIRS** is a large-scale motion-captured f-AHOI dataset, consisting of 17.3 hours of versatile interactions between 46 participants and 81 articulated and rigid sittable objects. CHAIRS provides 3D meshes of both humans and articulated objects during the entire interactive process, as well as realistic and physically plausible full-body interactions.

Source: [CHAIRS: Towards Full-Body Articulated Human-Object Interaction](https://arxiv.org/pdf/2212.10621v1.pdf)

Image Source: [https://arxiv.org/pdf/2212.10621v1.pdf](https://arxiv.org/pdf/2212.10621v1.pdf)

Introducing paper: Full-Body Articulated Human-Object Interaction
PropSegmEnt

**PropSegmEnt** is a corpus of over 35K propositions annotated by expert human raters. The dataset structure resembles the tasks of (1) segmenting sentences within a document to the set of propositions, and (2) classifying the entailment relation of each proposition with respect to a different yet topically-aligned document, i.e. documents describing the same event or entity.

Source: [PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition](https://arxiv.org/pdf/2212.10750v1.pdf)

Image Source: [https://arxiv.org/pdf/2212.10750v1.pdf](https://arxiv.org/pdf/2212.10750v1.pdf)

Introducing paper: PropSegmEnt: A Large-Scale Corpus for Proposition-Level Segmentation and Entailment Recognition
LiPC
Full name: LiDAR Point Cloud Clustering Benchmark Suite

**LiPC (LiDAR Point Cloud Clustering Benchmark Suite)** is a benchmark suite for point cloud clustering algorithms based on open-source software and open datasets. It aims to provide the community with a collection of methods and datasets that are easy to use, comparable, and that experimental results are traceable and reproducible.

Source: [https://github.com/cavayangtao/lidar_clustering_bench](https://github.com/cavayangtao/lidar_clustering_bench)

Image Source: [https://github.com/cavayangtao/lidar_clustering_bench](https://github.com/cavayangtao/lidar_clustering_bench)

Introducing paper: 3D ToF LiDAR in Mobile Robotics: A Review