Omkar2118/datasets huggingface dataset:
AbuseAnalyzer Dataset

**The dataset contains 7,601 Gab posts classified on three different aspects: abuse presence or not, abuse severity and abuse target.**

The Binary label distribution is as follows:
*Abusive Posts: 4,120
*Non-Abusive Posts: 3481

The Abuse Severity label distribution is as follows:
*Biased Attitude: 1830
*Act of Bias and Discrimination: 1807
*Violence and Genocide: 483

The Abuse Target label distribution is as follows:
*Individual (Second-Person):  389  
*Individual (Third-Person): 1330
*Group: 2401

Introducing paper: AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts
VOICe

**VOICe** is a dataset for the development and evaluation of domain adaptation methods for sound event detection. VOICe consists of mixtures with three different sound events ("baby crying", "glass breaking", and "gunshot"), which are over-imposed over three different categories of acoustic scenes: vehicle, outdoors, and indoors. Moreover, the mixtures are also offered without any background noise.

VOICe consists of 1,449 different mixtures of three different sound events:

* 1,242 mixtures with background noise of three different categories of acoustic scenes ("vehicle"," outdoors", and "indoors"), mixed under 2 SNR values (-3, -9 dB), that is 207 mixtures x 3 acoustic scenes x 2 SNRs = 1,242
* 207 mixtures without any background noise.

Introducing paper: VOICe: A Sound Event Detection Dataset For Generalizable Domain Adaptation