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Datasets:
mysigner
/
MySign

Tasks:
Other
Modalities:
3D
Text
Formats:
json
Languages:
Malay
Standard Malay
Size:
< 1K
Tags:
sign-language
bahasa-isyarat-malaysia
bim
malaysian-sign-language
motion-capture
3d
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
 Community
2
MySign
File size: 3,177 Bytes
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---
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}
}
```