| --- |
| pretty_name: SignSparK Data (CSL-Daily & How2Sign SMPL-X pose features) |
| license: other |
| language: |
| - zh |
| - en |
| tags: |
| - sign-language |
| - sign-language-production |
| - pose |
| - smpl-x |
| - flow-matching |
| size_categories: |
| - 1K<n<10K |
| --- |
| |
| # SignSparK Data |
|
|
| Prebuilt LMDB datasets for **SignSparK: Efficient Multilingual Sign Language |
| Production via Sparse Keyframe Learning** (ECCV 2026). Contains SMPL-X 6D pose |
| features, spoken-language translations, glosses, and per-frame segment |
| annotations for **CSL-Daily** and **How2Sign**, ready to train/sample with the |
| [SignSparK code](https://github.com/JianHe0628/SignSparK). |
|
|
| - 📄 Paper: https://arxiv.org/abs/2603.10446 |
| - 🌐 Project page: https://cogvis-cvssp.github.io/papers/signspark/ |
|
|
| ## Contents |
|
|
| ``` |
| train/ CSL-Daily_reopt_train.lmdb How2Sign_reopt_train.lmdb |
| dev/ CSL-Daily_reopt_dev.lmdb How2Sign_reopt_dev.lmdb |
| test/ CSL-Daily_reopt_test.lmdb How2Sign_reopt_test.lmdb |
| ``` |
|
|
| Each `.lmdb` holds one `__meta__` key (clip index) plus one in-memory `.npz` |
| blob per clip with: `language`, `translation`, `gloss`, `segment` (per-frame |
| {0,1,2}), and `left/right/body/face_features` (6D rotations). Full schema in the |
| repo's [`DATA.md`](https://github.com/JianHe0628/SignSparK/blob/main/DATA.md). |
|
|
| ## Usage |
|
|
| ```bash |
| python tools/download_data.py --datasets CSL-Daily How2Sign --dest ./data |
| export DATA_ROOT=$(pwd)/data |
| python tools/inspect_lmdb.py ${DATA_ROOT}/lmdb/train/CSL-Daily_reopt_train.lmdb |
| ``` |
|
|
| ## License & terms |
|
|
| These are SMPL-X pose features **derived from** the CSL-Daily and How2Sign |
| corpora and are released for **non-commercial research use** under the terms of |
| the original datasets. Obtain and comply with each source dataset's license: |
|
|
| - CSL-Daily: https://ustc-slr.github.io/datasets/2021_csl_daily/ |
| - How2Sign: https://how2sign.github.io/ |
|
|
| ## Citation |
|
|
| ```bibtex |
| @inproceedings{low2026signspark, |
| title = {SignSparK: Efficient Multilingual Sign Language Production via Sparse Keyframe Learning}, |
| author = {Low, Jianhe and Symeonidis-Herzig, Alexandre and Ivashechkin, Maksym and Sincan, {\"O}zge Mercano{\u{g}}lu and Bowden, Richard}, |
| booktitle = {European Conference on Computer Vision (ECCV)}, |
| year = {2026} |
| } |
| ``` |
|
|
