# DataStorehouse 🚀
DataStorehouse is an open-source project that aims to create a collaborative platform for gathering and sharing a wide variety of datasets. It provides a centralized repository where individuals and organizations can contribute, discover, and collaborate on diverse datasets for various domains. 📊📚
We are on Hacktoberfest 2023! 🎉
Features ✨
- Contributing: Easily contribute your own datasets to the DataStorehouse repository. ✅
- Discover: Explore a wide range of datasets across different domains. 🔍🌐
- Collaborate: Connect with other users and collaborate on dataset projects. 🤝💡
- Search: Quickly find datasets using the powerful search functionality. 🔎
- Tagging: Categorize and organize datasets using tags. 🏷️
Installation 🛠️
To get started with DataStorehouse, follow these steps:
- Clone the repository:
git clone https://github.com/neokd/DataStorehouse.git - Navigate to the project directory:
cd DataStorehouse
Contributing 👥
Contributions are welcome! If you have a dataset that you would like to add to DataStorehouse, please follow these steps:
- Fork the repository.
- Create a new branch:
git checkout -b add-dataset - Add your dataset to the appropriate domain directory.
- Update the
README.mdfile with the details of your dataset. - Commit your changes:
git commit -m "Add dataset: <dataset title>" - Push the changes to your branch:
git push origin add-dataset - Submit a pull request.
Please ensure that your dataset adheres to the guidelines and standards defined in the CONTRIBUTING.md file.
Project Contributors 🧑💻
License 📝
DataStorehouse is released under the MIT License. 📄
Feel free to contribute and make use of the DataStorehouse platform to collaborate and explore diverse datasets for your projects! 🌟