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