American-Sign-Language-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'].toli