Omkar2118/datasets huggingface dataset:
RWD-10K
Full name: Rogue Wave Dataset-10K

Rogue Wave Dataset-10K dataset consists of 10191 rogue wave images.

Introducing paper: Measuring the rogue wave pattern triggered from Gaussian perturbations by deep learning
Odysseus
Full name: Clean and Trojan Models

A major reason for the lack of a realistic Trojan detection method has been the unavailability of a large-scale benchmark dataset, consisting of clean and Trojan models. Here we introduce Odysseus the largest public dataset that contains over 3,000 trained clean and Trojan models based on Pytorch. 

While creating Odysseus, we focused on several factors such as mapping type, model architectures, fooling rate and validation accuracy of each model, and also the type of trigger. These models are trained on CIFAR10, Fashion-MNIST, and MNIST datasets. For each dataset, clean and Trojan models are trained for 4 different architectures. Namely Resent18, VGG19, Densenet, and GoogleNet for CIFAR10 and Fashion-MNIST and 4 custom-designed architectures for MNIST. We also considered various sources to target label mapping for the Trojan models.

Introducing paper: Odyssey: Creation, Analysis and Detection of Trojan Models
IndicTTS

A special corpus of Indian languages covering 13 major languages of India. It comprises of 10000+ spoken sentences/utterances each of mono and English recorded by both Male and Female native speakers. Speech waveform files are available in .wav format along with the corresponding text. We hope that these recordings will be useful for researchers and speech technologists working on synthesis and recognition. You can request zip archives of the entire database here.