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Telugu Recipe Videos Dataset
π Overview
The Telugu Recipe Videos dataset contains 10 high-quality cooking videos in Telugu, showcasing a variety of traditional dishes.
Each video demonstrates the preparation process, making it ideal for:
- Video classification
- Recipe recognition
- Cooking step detection
- Multimodal AI applications
Author: Heena Begum
Hugging Face URL: https://huggingface.co/datasets/heena-begum516/telugu-recipe-videos
License: CC BY 4.0
π Dataset Structure
Files included:
metadata.csv
β Contains details about each video:- filename β Name of the video file
- title β Recipe name
- category β Dish type (if available)
- description β Short recipe description (optional)
train/
β Contains 10 recipe videos:- Aloo Fry.mp4
- Black Rice.mp4
- Curd Rice.mp4
- Desi Chicken.mp4
- Gongura Pachadi.mp4
- Onion Rice.mp4
- Pesirot.mp4
- Rice bowl.mp4
- Tamata Rice.mp4
- Tomato chatni.mp4
π Usage
Load with Hugging Face Datasets:
from datasets import load_dataset
dataset = load_dataset("heena-begum516/telugu-recipe-videos", split="train")
print(dataset)
Access a sample video:
sample = dataset[0]
print(sample.keys()) # ['video', 'metadata'] if stored
video_path = sample['video']['path']
print("Video file path:", video_path)
π‘ Applications
- Video classification β Identify the dish being prepared
- Video captioning β Generate recipe descriptions in Telugu or English
- Step segmentation β Detect cooking steps from the video timeline
- Multimodal assistants β Build an AI chef that understands Telugu recipe videos
π Potential Enhancements
- Add ingredient lists and timestamps for cooking steps
- Include text transcriptions in Telugu & English
- Expand dataset with more diverse recipes and regional dishes
π Citation
If you use this dataset, please cite:
@dataset{heena_begum_2025_telugu_recipe_videos,
author = {Heena Begum},
title = {Telugu Recipe Videos},
year = {2025},
publisher = {Hugging Face Datasets},
url = {https://huggingface.co/datasets/heena-begum516/telugu-recipe-videos}
}
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