Omkar2118/datasets huggingface dataset:
OmniFlow

**OmniFlow** is a synthetic omnidirectional human optical flow dataset. Based on a rendering engine the authors created a naturalistic 3D indoor environment with textured rooms, characters, actions, objects, illumination and motion blur where all components of the environment are shuffled during the data capturing process. The simulation has as output rendered images of household activities and the corresponding forward and backward optical flow. The dataset consists of 23,653 image pairs and corresponding forward and backward optical flow.

Introducing paper: OmniFlow: Human Omnidirectional Optical Flow
MediaSpeech

**MediaSpeech** is a media speech dataset (you might have guessed this) built with the purpose of testing Automated Speech Recognition (ASR) systems performance. The dataset consists of short speech segments automatically extracted from media videos available on YouTube and manually transcribed, with some pre- and post-processing. The dataset contains 10 hours of speech for each language provided. This release contains audio datasets in French, Arabic, Turkish and Spanish, and is a part of a larger private dataset.

Source: [MediaSpeech: Multilanguage ASR Benchmark and Dataset](https://github.com/NTRLab/MediaSpeech)

Introducing paper: MediaSpeech: Multilanguage ASR Benchmark and Dataset