[ ] Create a JSON along the lines of the schema below. e.g. FOO.json
[ ] Add the JSON to src/datasets. e.g. src/datasets/FOO.json
[ ] "language" field should not need "sign language". No need to say "American Sign Language", "American" will do.
[ ] Very concise "samples" field, the table does not have a lot of space to display it.
[ ] Add BibTex to src/references.bib.
[ ] prepend the citation key with dataset. e.g. dataset:sehyr2021asl
[ ] Commit/push the changes
[ ] Make a pull request!
Schema:
{
"pub": {
"name": string, # this gets used as the name of the dataset, e.g. "WLASL"
"year": integer or null,
"publication":string or null, # this matches a key in references.bib, e.g. "dataset:joshiISLTranslateDatasetTranslating2023"
"url": string or null # URL to access it. e.g. "https://www.sign-lang.uni-hamburg.de/dgs-korpus/index.php/welcome.html"
},
"#loader": string or null, # the key you would use in the sign language datasets library. e.g. "dgs_corpus". Website will auto-link
"#items": integer or null, # this is the number of unique signs in the column
"#samples": string or null, # e.g. "1100 videos" or "8,257 Sentences"
"#signers": integer or string or null, # number of unique signers
"features": array of strings, ["feature1","feature2"], # I've seen things like "mouthing", "video:RGB", "pose:Kinect", "pose:OpenPose","text:Polish", "gloss:ASL", "writing:HamNoSys", etc.
"language": string, # the Sign language or languages, e.g. "American" for American Sign Language (ASL)
"license": string or null,
"licenseUrl": string or null
}
https://ustc-slr.github.io/datasets/2015_csl/ https://ieeexplore.ieee.org/document/8466903 Attention-Based 3D-CNNs for Large-Vocabulary Sign Language Recognition introduces it
Checklist for datasets:
src/datasets
. e.g.src/datasets/FOO.json
src/references.bib
.dataset
. e.g.dataset:sehyr2021asl
Schema: