Grouping resources

[AmitMY]

Hi! A while ago I made https://github.com/sign-language-processing/sign-language-processing.github.io

The goal of this project is to contain and organize the sign language processing literature, datasets, and tasks.

This project is hosted in: sign-language-processing.github.io

Contributions are welcomed!

It is clearly incomplete, and could benefit from the inclusion of many of the papers you list in the README.

Personally, I find it more valuable when it is written in text, and the papers are connected to each other (A et al did this thing with this method, B et al took it and improved it. C et al did something else entirely...)

If you feel like contributing in that repository, that would be very much appreciated.

[ZechengLi19]

Hey, @AmitMY .

I think your work is very meaningful. If possible, you can briefly introduce the contribution process to me. Although I may not conduct subsequent research in the direction of sign language, this issue will always remain open. So that interested people can actively contribute to your work.

[AmitMY]

Thanks! The contribution process is quite simple, you can see many past PRs: https://github.com/sign-language-processing/sign-language-processing.github.io/pulls?q=is%3Apr+is%3Aclosed

Mainly, to add text, it involves editing this large markdown file with all of the content https://github.com/sign-language-processing/sign-language-processing.github.io/blob/master/src/index.md?plain=1 Referring to other works, you add citations in bibtex format https://github.com/sign-language-processing/sign-language-processing.github.io/blob/master/src/references.bib And to add datasets to the large list, we have a custom JSON format with one file per dataset https://github.com/sign-language-processing/sign-language-processing.github.io/tree/master/src/datasets

You then make a pull request, and I review it.

[cleong110]

I've started on this myself, and am taking notes on the process at https://github.com/cleong110/sign-language-processing.github.io/issues/2.

Regarding the dataset JSON format, I have some notes on that noting what the main fields are, etc here, or one can just look at some of the existing ones in the datasets folder Amit linked above. It's not too difficult, just things like title, what the count of vocabulary is in the dataset, how many samples/videos there are, etc. Things that show up in the table of datasets basically.