Omkar2118/datasets huggingface dataset:
Dollar Street Dataset

The MLCommons Dollar Street Dataset is a collection of images of everyday household items from homes around the world that visually captures socioeconomic diversity of traditionally underrepresented populations. It consists of public domain data, licensed for academic, commercial and non-commercial usage, under CC-BY and CC-BY-SA 4.0. The dataset was developed because similar datasets lack socioeconomic metadata and are not representative of global diversity.

It includes 38,479 images collected from 63 different countries, tagged from a set of 289 possible topics. Besides this, the metadata for each image includes demographic information such as region, country, and total household monthly income, allowing for many different use cases, ultimately enhancing image datasets for computer vision.

The dataset was introduced by the paper: [The Dollar Street Dataset: Images Representing the Geographic and Socioeconomic Diversity of the World](https://openreview.net/forum?id=qnfYsave0U4)
WSJ0-2mix-extr

WSJ0-2mix-extr is a speech extraction dataset

Introducing paper: SpEx: Multi-Scale Time Domain Speaker Extraction Network
WaterBench

Multi-level  Benchmark of Watermarks for Large Language Models

Introducing paper: WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models