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---
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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
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---
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# 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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The CSV contains the following columns:
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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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# 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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If using this dataset in research:
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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. |
