mohibkhansherwani/DynamicWordLevelPakistanSignLanguageDataset

Dynamic Word Level Pakistan Sign Language (PSL) Dataset

Overview

This dataset contains MediaPipe hand landmark sequences for 60+ words in Pakistan Sign Language (PSL). It is designed to support research into dynamic, word-level gesture recognition. Unlike existing datasets that focus on static finger spelling or small vocabularies, this project provides a high-quality, research-ready landmark collection for complex sign language translation.

Kaggle Link https://www.kaggle.com/datasets/mohib123456/dynamic-word-level-pakistan-sign-language-dataset/data

Github Project Link https://github.com/MohibUllahKhanSherwani/SignSpeak_FYP

Dataset Statistics

• Total Signs: 60+ unique word classes.
• Samples per Sign: Each sign is performed 70 times (Combined).
• Sequence Length: Each gesture is fixed at 60 frames for temporal consistency.
• Format: Landmark coordinate data (X, Y, Z) extracted via MediaPipe.

Dataset Structure & Generalization

The data is organized into two primary subsets to ensure model robustness across different hardware and camera types:

1. MP_Data: contains 50 samples per sign recorded using standard webcams and fixed desktop cameras.
2. MP_Data_mobile: contains 20 samples per sign recorded using mobile phone cameras to introduce varied angles, motion blur, and lighting. By training on both sets, models are less likely to overfit to a specific lens or environment, making them more suitable for real-world mobile applications like SignSpeak.

Motivation & Rationale

Most existing PSL datasets are limited to static signs or small vocabularies. We collected this word-level dataset specifically for the SignSpeak project.

• Privacy: No raw video recordings were saved to protect participant identity. Only anonymized MediaPipe landmarks were kept.
• Scale: Large vocabulary (60+) to move beyond simple finger-spelling

Usage

This data is ideal for training sequence-based architectures like LSTMs, GRUs, or Transformers for temporal classification. The primary use case is for building real-time sign language translation tools for the Deaf community in Pakistan.

Loading the Data

For details on how to use the dataset and sample loading and training script please visit: https://www.kaggle.com/datasets/mohib123456/dynamic-word-level-pakistan-sign-language-dataset/data

Authors

This dataset was curated by the SignSpeak team as part of our Final Year Project at COMSATS University Islamabad, Abbottabad Campus.

• Main Author: Mohib Ullah Khan Sherwani
• Repository: https://github.com/MohibUllahKhanSherwani/SignSpeak-FYP

License

This dataset is released under the Apache License 2.0. You are free to use, modify, and distribute this data for both research and commercial purposes, provided that attribution is given to the authors.