Omkar2118/datasets huggingface dataset:
C# EditCompletion

We scraped the 53 most popular C# repositories from GitHub and extracted all commits since the beginning of the project’s history. From each commit, we extracted edits in C# files along with the edits in their surrounding context.

Introducing paper: A Structural Model for Contextual Code Changes
MSU Video Super Resolution Benchmark: Detail Restoration

This is a dataset for a video super-resolution task. The dataset contains the most complex content for the restoration task: faces, text, QR-codes, car numbers, unpatterned textures, small details. Videos include different types of motion and different types of degradation: bicubic interpolation (BI) and Gaussian blurring and downsampling (BD). The resolution of all input video sequences is 480x320.
Source: [https://videoprocessing.ai/benchmarks/video-super-resolution.html](https://videoprocessing.ai/benchmarks/video-super-resolution.html)
Image Source: [https://videoprocessing.ai/benchmarks/video-super-resolution.html](https://videoprocessing.ai/benchmarks/video-super-resolution.html)
SaRNet

**SaRNet** is a single class dataset consisting of tiles of satellite imagery labeled with potential 'targets'. Labelers were instructed to draw boxes around anything they suspect may a paraglider wing, missing in a remote area of Nevada. Volunteers were shown examples of similar objects already in the environment for comparison.

Introducing paper: SaRNet: A Dataset for Deep Learning Assisted Search and Rescue with Satellite Imagery