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Malaysian Sign Language Dataset (V1)

Dataset Description

This dataset contains 170,000+ samples of Malaysian Sign Language (BIM). It has been processed using MediaPipe to extract skeleton keypoints (1662 features per frame) and is organized by class.

Total Classes: [Insert Number, e.g., 80]
Format: .npy (NumPy arrays) stored inside .zip files (one zip per class).
Features: Pose, Left Hand, Right Hand landmarks.
Frame Length: Normalized to 30 frames per sequence.

How to Load

You can load this dataset directly in Google Colab using the provided scripts.

from huggingface_hub import snapshot_download
import zipfile
import os

# Download
path = snapshot_download("PishangShedappp/malaysian-sign-language-dataset-v1", repo_type="dataset")

# Unzip one class (example)
with zipfile.ZipFile(f"{path}/abang.zip", 'r') as zip_ref:
    zip_ref.extractall("./data/abang")

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