| --- |
| license: cc-by-nc-sa-4.0 |
| task_categories: |
| - other |
| language: |
| - en |
| - ms |
| tags: |
| - sign-language |
| - malaysian-sign-language |
| - bahasa-isyarat-malaysia |
| - bim |
| - motion-capture |
| - fbx |
| - 3d-animation |
| - sign-generation |
| - isolated-sign-language-recognition |
| pretty_name: "MySign: 3D Sign Generation for Bahasa Isyarat Malaysia" |
| size_categories: |
| - 1K<n<10K |
| configs: |
| - config_name: metadata |
| data_files: |
| - split: train |
| path: metadata.csv |
| --- |
| |
| # MySign: A High-Fidelity Motion-Capture Dataset for 3D Sign Generation in Bahasa Isyarat Malaysia |
|
|
| **MySign** is a high-fidelity motion-capture dataset for 3D sign generation in |
| **Bahasa Isyarat Malaysia (BIM)** — Malaysian Sign Language. It contains skeletal |
| animations of **1,194 unique BIM vocabulary items** performed by **5 deaf signers** |
| (Signer001–Signer005), totalling **5,343 motion-capture clips** stored in Autodesk |
| FBX format. |
|
|
| The file name of each `.fbx` encodes the English gloss for the corresponding BIM sign. |
|
|
| ## Structure |
|
|
| ``` |
| MySign/ |
| ├── Signer001/{GLOSS}.fbx # ~1068 signs per signer |
| ├── Signer002/{GLOSS}.fbx |
| ├── Signer003/{GLOSS}.fbx |
| ├── Signer004/{GLOSS}.fbx |
| ├── Signer005/{GLOSS}.fbx |
| ├── metadata.csv # gloss / signer / take index |
| └── croissant.json # ML Commons Croissant metadata |
| ``` |
|
|
| ## metadata.csv columns |
|
|
| | column | description | |
| |-------------|-------------------------------------------------------------------| |
| | file_name | Relative path of the FBX file (e.g. `Signer001/Above.fbx`) | |
| | gloss | English gloss label for the BIM sign; synonyms separated by ` / ` | |
| | signer_id | One of `Signer001` .. `Signer005` | |
| | take | Take number; defaults to 1 unless multiple recordings exist | |
|
|
| ## Loading |
|
|
| The FBX files are 3D motion-capture recordings and require a tool such as Blender, |
| Autodesk FBX SDK, or `pyfbx` to parse. The `metadata.csv` provides the mapping from |
| each file to its gloss label and signer. |
|
|
| ```python |
| import pandas as pd |
| from huggingface_hub import hf_hub_download |
| |
| # Load the index |
| df = pd.read_csv( |
| hf_hub_download("mysigner/MySign", "metadata.csv", repo_type="dataset") |
| ) |
| |
| # Download a single FBX (e.g. the BIM sign for "ABOVE" by Signer001) |
| row = df.query("gloss == 'ABOVE' and signer_id == 'Signer001'").iloc[0] |
| fbx_path = hf_hub_download("mysigner/MySign", row["file_name"], repo_type="dataset") |
| print(f"Downloaded to: {fbx_path}") |
| ``` |
|
|
| ## Intended use |
|
|
| MySign is intended to support research on: |
|
|
| - 3D sign language generation and synthesis for BIM |
| - Isolated Sign Language recognition (ISLR) |
| - Sign language animation, avatars, and accessibility tools for the Malaysian Deaf community |
|
|
| ## License |
|
|
| CC BY-NC-SA 4.0 — non-commercial use, with attribution and same-license sharing. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{mysign2026, |
| title = {MySign: A High-Fidelity Motion-Capture Dataset for 3D Sign Generation in Bahasa Isyarat Malaysia}, |
| author = {mysigner}, |
| year = {2026}, |
| url = {https://huggingface.co/datasets/mysigner/MySign} |
| } |
| ``` |
|
|
