Omkar2118/datasets huggingface dataset:
20-MAD
Full name: 20-MAD: Mozilla Apache Dataset

20-MAD, a dataset linking the commit and issue data of Mozilla and Apache projects. It includes over 20 years of information about 765 projects, 3.4M commits, 2.3M issues, and 17.3M issue comments, and its compressed size is over 6 GB. The data contains all the typical information about source code commits (e.g., lines added and removed, message and commit time) and issues (status, severity, votes, and summary). The issue comments have been pre-processed for natural language processing and sentiment analysis. This includes emoticons and valence and arousal scores.

Introducing paper: 20-MAD -- 20 Years of Issues and Commits of Mozilla and Apache Development
Dataset of Video Game Development Problems

This is a grounded dataset describing software-engineering problems in video-game development extracted from postmortems. The dataset was created using an iterative method through which the authors manually coded more than 200 postmortems spanning 20 years (1998 to 2018) and extracted 1,035 problems related to software engineering while maintaining traceability links to the postmortems. The problems were grouped in 20 different types. This dataset is useful to understand the problems faced by developers during video-game development, providing researchers and practitioners a starting point to study video-game development in the context of software engineering.

Introducing paper: Dataset of Video Game Development Problems
iBugMask

iBugMask is an in-the-wild face parsing dataset that contains 1,000 challenging face images and manually annotated labels for 11 semantic classes: background, facial skin, left/right brow, left/right eye, nose, upper/lower lip, inner mouth, and hair. The images are curated from challenging in-the-wild face alignment datasets, including 300W and Menpo. Compared with the existing face parsing datasets, iBugMask contains in-the-wild scenarios such as “party” and “conference”, which include more challenging appearance variations or multiple faces. There is a larger number of profile faces. More expressions other than ”neutral” and ”smile” are also included (e.g. ”surprise” and ”scream”). The dataset can be downloaded on [here](https://github.com/hhj1897/face_parsing#ibugmask-dataset).

Introducing paper: RoI Tanh-polar Transformer Network for Face Parsing in the Wild
A Dataset of State-Censored Tweets

This is a dataset of 583,437 tweets by 155,715 users that were censored between 2012-2020 July. It also contains 4,301 accounts that were censored in their entirety. Additionally, another set of tweets is related, consisting of 22,083,759 supplemental tweets made up of all tweets by users with at least one censored tweet as well as instances of other users retweeting the censored user.

Introducing paper: A Dataset of State-Censored Tweets