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Duplicate from ZahidYasinMittha/American-Sign-Language-Dataset

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Co-authored-by: Zahid Mittha <ZahidYasinMittha@users.noreply.huggingface.co>

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  2. Aslense Dataset.csv +0 -0
  3. README.md +83 -0
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Aslense Dataset.csv ADDED
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README.md ADDED
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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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+
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+ # American Sign Language (ASL) Dataset
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+
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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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+
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+ ## Folder Structure
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+
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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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+
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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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+
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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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+
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+ **Example:**
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+
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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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+
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+ - All paths are **relative to the root dataset folder**.
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+
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+ ## Dataset Statistics
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+
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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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+
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+ ## Usage Example
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+
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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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+
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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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+
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+ ## Key Usage Notes
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+
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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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+
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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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+
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+ ## License
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+
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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.
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