Omkar2118/datasets huggingface dataset:
Reasonable Crowd

The **Reasonable Crowd** dataset is a dataset to evaluate autonomous driving in a limited operating domain. The data consists of 92 traffic scenarios, with multiple ways of traversing each scenario. Multiple annotators expressed their preference between pairs of scenario traversals.

Introducing paper: The Reasonable Crowd: Towards evidence-based and interpretable models of driving behavior
CalCROP21

**CalCROP21** is a georeferenced multi-spectral dataset of satellite Imagery and crop labels. It is a semantic segmentation benchmark dataset, for the diverse crops in the Central Valley region of California at 10m spatial resolution using a Google Earth Engine based robust image processing pipeline.

Introducing paper: CalCROP21: A Georeferenced multi-spectral dataset of Satellite Imagery and Crop Labels
SNARE

**SNARE**, short for ShapeNet Annotated with Referring Expressions, is a benchmark requires a model to choose which of two objects is being referenced by a natural language description.

Introducing paper: Language Grounding with 3D Objects
TinyVIRAT-v2

**TinyVIRAT-v2** is a benchmark dataset for recognizing real-world low-resolution activities present in videos. The dataset is comprised of naturally occuring low-resolution actions. This is an extension of the TinyVIRAT dataset and consists of actions with multiple labels. The videos are extracted from security videos which makes them realistic and more challenging.

Introducing paper: TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos
OLR 2021

The **OLR 2021** dataset contains the data for the Oriental Language Recognition (OLR) 2021 Challenge, which intends to improve the performance of language recognition systems and speech recognition systems within multilingual scenarios.

Introducing paper: OLR 2021 Challenge: Datasets, Rules and Baselines
BMELD

**BMELD** is a bilingual (English-Chinese) dialogue corpus for Neural chat translation.

Introducing paper: Modeling Bilingual Conversational Characteristics for Neural Chat Translation