| ---
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| license: mit
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| tags:
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| - ASL
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| - American Sign Language
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| - Gesture Recognition
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| - Video Dataset
|
| ---
|
|
|
| # American Sign Language (ASL) Dataset
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|
|
| **Description:**
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| This dataset contains **108,618 videos** representing **2,208 ASL words**, with each word having a minimum of **30 videos**. The videos were **scraped, collected from multiple sources, and preprocessed** to ensure consistency, quality, and usability for machine learning and gesture recognition tasks. Each video is **≤10 MB**, optimized for storage and model training.
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| The dataset can be used for ASL gesture recognition, video-based ML tasks, and model training for research and educational purposes.
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|
|
| ## Folder Structure
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|
|
| E:\Dataset\American-Sign-Language-Dataset
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| ├── part1\ # First subset of videos (≤10,000 files)
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| ├── part2\ # Second subset of videos (≤10,000 files)
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| ├── part3\ # Third subset of videos (≤10,000 files)
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| ├── README.md # This file
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| └── dataset.csv # CSV file mapping words to video paths
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|
|
| - Each subfolder contains **≤10,000 video files** to comply with Hugging Face repository limits.
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| - Videos are organized into multiple parts to prevent exceeding per-folder file limits.
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| - `dataset.csv` maps each ASL word to its respective video path.
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| - `README.md` provides detailed dataset information and usage instructions.
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|
|
| ## CSV File (`dataset.csv`)
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|
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| The CSV contains the following columns:
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|
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| | Column | Description |
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| |-------------|---------------------------------------------|
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| | `word` | The ASL word represented in the video |
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| | `video_path`| Relative path to the video file in the repo |
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|
|
| **Example:**
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|
|
| | word | video_path |
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| |--------|---------------------------|
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| | HELLO | part1/12345-HELLO.mp4 |
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| | THANKS | part2/67890-THANKS.mp4 |
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| | YES | part3/54321-YES.mp4 |
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|
|
| - All paths are **relative to the root dataset folder**.
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|
|
| ## Dataset Statistics
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|
|
| - **Total videos:** 108,618
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| - **Total words:** 2,208
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| - **Minimum videos per word:** 30
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| - **Maximum files per folder:** ≤10,000 (split into 3 parts)
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|
|
| ## Usage Example
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|
|
| import pandas as pd
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|
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| # Load CSV
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| df = pd.read_csv("dataset.csv")
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|
|
| # Example: filter videos for the word "HELLO"
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| hello_videos = df[df['word'] == 'HELLO']['video_path'].tolist()
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| print(hello_videos)
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|
|
| ## Key Usage Notes
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|
|
| - Recommended to split dataset into subfolders due to repository file limits.
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| - Dataset combines multiple sources and has been carefully cleaned to remove duplicates and corrupted videos.
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| - Ensure that all video paths in `dataset.csv` match the actual subfolder structure when using programmatically.
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| - Large uploads were handled using Hugging Face's `upload-large-folder` utility.
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|
|
| ## Citation
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|
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| If using this dataset in research:
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|
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| American Sign Language Dataset, collected and preprocessed by Zahid Yasin Mittha, 2025.
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|
|
| ## License
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|
|
| This dataset is released under the **MIT License**.
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| You are free to use, modify, and distribute it for research, educational, or commercial purposes, with proper attribution. |
