Omkar2118/datasets huggingface dataset:
MultiTHUMOS

The **MultiTHUMOS** dataset contains dense, multilabel, frame-level action annotations for 30 hours across 400 videos in the THUMOS'14 action detection dataset. It consists of 38,690 annotations of 65 action classes, with an average of 1.5 labels per frame and 10.5 action classes per video.

Source: [http://ai.stanford.edu/~syyeung/everymoment.html](http://ai.stanford.edu/~syyeung/everymoment.html)
Image Source: [http://ai.stanford.edu/~syyeung/everymoment.html](http://ai.stanford.edu/~syyeung/everymoment.html)

Introducing paper: Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
Sketch

The **Sketch** dataset contains over 20,000 sketches evenly distributed over 250 object categories.

Source: [http://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/](http://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/)
Image Source: [http://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/](http://cybertron.cg.tu-berlin.de/eitz/projects/classifysketch/)

Introducing paper: How do humans sketch objects?
LibriSpeech

The **LibriSpeech** corpus is a collection of approximately 1,000 hours of audiobooks that are a part of the LibriVox project. Most of the audiobooks come from the Project Gutenberg. The training data is split into 3 partitions of 100hr, 360hr, and 500hr sets while the dev and test data are split into the ’clean’ and ’other’ categories, respectively, depending upon how well or challenging Automatic Speech Recognition systems would perform against. Each of the dev and test sets is around 5hr in audio length. This corpus also provides the n-gram language models and the corresponding texts excerpted from the Project Gutenberg books, which contain 803M tokens and 977K unique words.

Source: [State-of-the-art Speech Recognition using Multi-stream Self-attention with Dilated 1D Convolutions](https://arxiv.org/abs/1910.00716)

Introducing paper: Librispeech: An ASR corpus based on public domain audio books